- Open Access
A comprehensive systematic review of the development process of 104 patient-reported outcomes (PROs) for physical activity in chronically ill and elderly people
© Frei et al; licensee BioMed Central Ltd. 2011
Received: 21 December 2010
Accepted: 20 December 2011
Published: 20 December 2011
Capturing dimensions of physical activity relevant to patients may provide a unique perspective for clinical studies of chronically ill patients. However, the quality of the development of existing instruments is uncertain. The aim of this systematic review was to assess the development process of patient-reported outcome (PRO) instruments including their initial validation to measure physical activity in chronically ill or elderly patient populations.
We conducted a systematic literature search of electronic databases (Medline, Embase, Psychinfo, Cinahl) and hand searches. We included studies describing the original development of fully structured instruments measuring dimensions of physical activity or related constructs in chronically ills or elderly. We broadened the population to elderly because they are likely to share physical activity limitations. At least two reviewers independently conducted title and abstract screening and full text assessment. We evaluated instruments in terms of their aim, items identification and selection, domain development, test-retest reliability, internal consistency, validity and responsiveness.
Of the 2542 references from the database search and 89 from the hand search, 103 full texts which covered 104 instruments met our inclusion criteria. For almost half of the instruments the authors clearly described the aim of the instruments before the scales were developed. For item identification, patient input was used in 38% of the instruments and in 32% adaptation of existing scales and/or unsystematic literature searches were the only sources for the generation of items. For item reduction, in 56% of the instruments patient input was used and in 33% the item reduction process was not clearly described. Test-retest reliability was assessed for 61%, validity for 85% and responsiveness to change for 19% of the instruments.
Many PRO instruments exist to measure dimensions of physical activity in chronically ill and elderly patient populations, which reflects the relevance of this outcome. However, the development processes often lacked definitions of the instruments' aims and patient input. If PROs for physical activity were to be used in clinical trials more attention needs to be paid to the establishment of content validity through patient input and to the assessment of their evaluative measurement properties.
Physical activity is crucial to chronically ill patients' functioning in daily life. The evidence of the protective role of physical activity for the prevention and management of chronic diseases has been well established over recent decades [1, 2]. Physical activity is a multidimensional construct and defined as "any bodily movement produced by the contraction of skeletal muscle that increases energy expenditure above a basal level" .
The assessment of physical activity as an outcome measure provides a unique perspective in chronic disease research not only for observational studies, but also for drug and nondrug clinical trials. Furthermore, evidence from trials regarding physical activity as a patient-reported outcome (PRO) could inform patients about treatment options that address relevant aspects of their daily life. Investigators who are interested in measuring physical activity face the challenge of not only choosing an instrument that serves their study aim, but that has also been carefully developed and validated. These instruments should have strong psychometric properties such as stability over time (test-retest reliability) and the capacity to detect even small effects (responsiveness to change). In addition, investigators need to be certain that the instruments reflect the dimensions of physical activity that are relevant to patients.
It is currently unclear whether available instruments to measure physical activity fulfil these requirements. Therefore, the aim of this systematic review, which is part of the Innovative Medicines Initiative PROactive project (http://www.proactivecopd.com a project jointly funded by the European Commission and the European Federation of Pharmaceutical Industries and Associations 'EFPIA), was to identify existing fully structured PROs (questionnaires, scales) measuring physical activity (frequency, intensity and total amount), and/or symptoms (physical and mental) or complaints/concerns associated with physical activity in chronically ill or elderly patient populations. We broadened the population to elderly because they are likely to share some characteristics regarding physical activity with chronically ill patients. Furthermore, the systematic review aimed to evaluate the methodological rigour with which the retrieved instruments were developed and initially validated as a part of the development process. Therefore, we restricted our review to the first validations of the instruments as part of the development process. In this paper we focused on the methods used in the development of the physical activity instruments. The content and the format of the included instruments are reviewed in another paper.
A study protocol (unregistered) guided the entire review process. We followed standard systematic review methodology as outlined in the handbooks of the Centre for Reviews and Dissemination  and the Cochrane Collaboration. The reporting follows the PRISMA statement that recently replaced the former guidelines of reporting of systematic reviews and meta-analyses (QUOROM statement) .
We considered the following criteria for inclusion and exclusion:
We included PRO instruments developed for patients with chronic disease or elderly people. Elderly people were included because chronic illnesses usually affect people in later stages of life. In addition, we supplemented the electronic database search with explicit search terms for COPD patients. This is because this systematic review is part of the PROactive project, which aims to develop and validate two PRO instruments for COPD patients .
Types of instrument
We included fully structured instruments (scales or questionnaires) with standardised questions and answer options which were reported by the patient (self-reported). We only included interviewer administered instruments if the information was self-reported by the patient and we excluded instruments that required a rating by an interviewer.
Content of instrument/assessment of physical activity
We included instruments measuring dimensions of physical activity or related constructs. We considered the following definition for physical activity according to the U.S. Department of Health and Human Services : "Physical activity is defined as any bodily movement produced by the contraction of skeletal muscle that increases energy expenditure above a basal level". This definition of physical activity is broad and encompasses activities of daily living, sports and activities for personal fulfilment. We did not restrict the search to instruments measuring the frequency, intensity and total amount of physical activity, but also considered instruments assessing "related constructs" and/or subscales that focused on symptoms (physical and mental) or complaints/concerns associated with physical activity. All of the instruments we included contained at least one physical activity subscale. We only included instruments whose items we could access from the publication or from the developers. We did not have any language or publication date restrictions.
We included both cross-sectional and longitudinal studies which described the development (including item generation, piloting etc) or modifications of the original instrument and the initial validation (psychometric properties, cross-sectional or longitudinal) of the original instrument. Since we focused on the methods used for the development process of the instruments, the article had to describe a minimum of the development or first validation process, for example, a description about item identification or selection and/or at least one assessment of test-retest, responsiveness or validity in a publication that was clearly the original. We excluded studies that used an eligible instrument as an outcome measure and were not designed to initially validate this instrument. We also excluded studies that reported the validation of instruments in additional languages and/or populations.
Electronic database searches
We searched the electronic databases Medline, Embase, PsycINFO and CINAHL on September 18th 2009.
We conducted the following hand searches to complement the electronic database search results: We searched for original development studies of instruments from articles which were excluded for the reason "validation only" or "used as outcome measures"; we scanned the reference lists of the full texts; we searched the Patient-Reported Outcome and Quality of Life Instruments Database (PROQolid) on March 10 2010, search term: "physical functioning" questionnaires; and we contacted experts in the field and asked them to check if our list of included instruments was complete or if we missed any instruments.
For the electronic database search, we used the following search terms: (physical activity OR functioning OR function OR motor activity OR activities of daily living OR walking OR activity OR exercise) AND (questionnaire* OR scale OR instrument OR tool OR diary OR assessment OR self-report OR measure*) AND (valid*) AND (chronic disease OR elderly OR COPD OR chronic lung disease OR chronic obstructive lung disease) NOT (athletic performance OR sports OR children OR adolescent).
Title and abstract screening
Two pairs of two reviewers each used a title and abstract screening document to independently review the title and abstract of every article retrieved by the database search. Decisions to include or exclude were recorded in the RefWorks-COS file (0 = exclude, 1 = order for full text assessment, 2 = only validation study of existing instrument, 3 = related study (e.g. reviews), do not order but may be useful reference). We ordered all articles that were deemed potentially eligible by at least one reviewer.
Full text screening
Two pairs of two reviewers each independently evaluated the full texts and made a decision on inclusion or exclusion according to the predefined selection criteria. They recorded their decision on a paper form together with the reason for exclusion (not relevant patient group; instrument does not measure dimensions of physical activity or related constructs; instrument is not self-reported (e.g. functional or exercise test like time to stand up from a chair or 6 minutes walking test); instrument with all its items is not available from the publication or from the developers; instrument is used as an outcome measure/study is not designed to validate this instrument, respectively; validation study only (e.g. additional languages, populations etc.); other). If the two reviewers could not agree, a third reviewer decided whether to include or exclude. Studies that did not fulfil all of the predefined criteria were excluded and their bibliographic details were listed with the specific reason for exclusion.
Piloting the study selection process
Initially, all reviewers piloted the selection process by applying the inclusion and exclusion criteria to the 50 first references for titles and abstracts screening and the first 30 papers for full text assessment. Inclusion and exclusion criteria were refined and clarified based on this piloting process.
Dealing with lack of information
We made three attempts to contact authors by e-mail in the following conditions: 1) If it was unclear from the full text article whether the study fulfilled the inclusion and exclusion criteria; 2) If the included development study lacked information on how the instrument was developed in order to complete data extraction; 3) If the included development study lacked information on the instrument's content (items, introduction question, recall period etc.). If we failed to retrieve the relevant information from the author, this was reported on the data extraction form.
Dealing with duplicate publications
In cases where multiple papers were published (e.g. translations, reporting on different outcomes etc.), we treated the study with multiple reports as a single study but made reference to all publications.
Data extraction process
We created standardised data extraction forms based on a form used in a previous review  to record the relevant information from the articles. The data extraction forms were piloted twice by four reviewers including 8 instruments for the first and 6 instruments for the second pilot. The forms and categories were then adapted and refined where necessary. The first reviewers extracted the data and stored it in a MS Word file. The second reviewers then independently extracted the data and compared their results with that of the first reviewers. These changes were made using the 'track changes' mode. The file was sent back to the first reviewer in order to come to an agreement. When an agreement could not be reached a third reviewer was consulted.
We extracted data from the development studies regarding the instruments' development and initial validation process. We used pre-defined categories and answer options including numerical indications, fixed texts such as "yes/no", multiple choice and free text. We extracted data for the following categories:
Development of instruments
Aim of instrument
We distinguished between 3 categories: First, if the aim of the instrument was clearly described by the authors before the instrument was developed, the classification was "described". We differentiated between the four aims "evaluative" (detection of changes over time, typically for evaluation of treatments), "discriminative" (detection of differences between patients, e.g. for phenotyping), "predictive" (prediction of future health outcomes, e.g. hospital admissions or death) and "planning" (planning of treatment, e.g. detection of areas with low scorings to target patient education accordingly). Second, if the aim was not explicitly described by the authors before development but could be identified from the context, the classification was "not clearly described, but presumably (e.g. evaluative)". Third, if the purpose of the instrument was not reported and could not be identified we used the classification "not described".
Identification of items
To describe the identification of the items, we differentiated between five categories of sources of item generation (several answer options possible): patients and elderly (target population); experts (e.g. clinical experts, health professionals, care givers etc., also includes supplementation or modification of existing items through experts); significant others (e.g. family members, care givers); literature; and adaptation of existing instruments. We also described the method of item identification in brackets, for example, interviews or focus groups, systematic or unsystematic searches.
Selection of items
We reported the approach used by the authors to select items for the final instrument by differentiating between the following four sources: patients quantitative; patients qualitative; experts quantitative; experts qualitative. We provided specific details in brackets, for example, "Patients: quantitative (e.g. factor analysis)", "Patients: qualitative (e.g. focus group)", "Experts: quantitative (e.g. relevance)" or "Experts: qualitative (e.g. interviews)".
Development of domains
We recorded the method of how the domains were defined, i.e. if they were defined a priori (the authors predefined domains and items which belong to these domains without statistical analyses but based on their clinical/research experience or opinion) or if domains were statistically defined by factor analysis.
Initial validation of instruments
We recorded if test-retest reliability (reproducibility) was examined and described the statistical method used, for example, intra-class correlation coefficients, coefficient of variation, Pearson or Spearman correlation coefficients or t-tests.
We recorded if internal consistency reliability was assessed and described the statistical method used, for example, Cronbach's alpha, corrected item total correlation or Cronbach's alpha excluding item analysis.
We recorded if validity was assessed and if so, the type of validity that the authors described to assess (in quotation marks) and the statistical methods used (in brackets).
We recorded any approaches to assess responsiveness (i.e. the ability of an instrument to detect changes over time) and we reported the statistical methods used.
Minimal important difference (MID)
We reported if the MID was examined and the statistical methods (e.g. anchor- or distribution-based approaches) used.
Summary of conducted initial validation assessments according to aim of instrument
The aim of the instrument determines the measurement properties, which should be assessed in the validation process. The assessment of test-retest reliability and internal consistency is important for each instrument development, regardless of whether the instrument's aim is evaluative, discriminative, predictive or planning. For instruments with an evaluative aim, the longitudinal testing of the validity is of special interest whereas for instruments with discriminative or planning aims, cross-sectional testing of the validity is sufficient. For instruments with evaluative aims, the assessment of responsiveness and the MID is crucial because they aim to detect changes over time.
We summarised the assessed psychometric properties of the instruments for which the authors clearly described an aim before the instruments was developed.
Synthesis of results
We described the results of the data extraction in structured tables according to the categories described above (see Additional file 1). We synthesised the data on the instruments' development and initial validation in a narrative way and in integrated tables. We used numbers and proportions to describe the results quantitatively. These frequencies were calculated using SPSS (Version 18.0).
Following full text assessment, a further 255 were excluded resulting in 104 instruments from 103 full texts (the article of Mannerkorpi & Hernelid (2005)  provided information for the development process of two instruments) included in the review [14–117]. The most frequent reasons for exclusion were instrument is not self-reported (n = 71), followed by instrument does not measure physical activity (n = 66), validation study only (n = 35) and instrument used as an outcome measure (n = 29). The references of all excluded articles after full text assessment are summarised in Additional file 2.
Additional file 1 summarises the extracted data for the development and initial validation process of the reviewed instruments.
Aim of instrument
For almost half of the instruments (n = 49, 47.1%), the authors clearly described the aim of the instruments before the scales were developed. One aim was described for 26 instruments (53.1%) and more than one for 23 instruments (46.9%). The most frequently described aim was evaluative (n = 33), followed by discriminative (n = 26), planning (n = 13) and predictive (n = 5). For 43.3% of the instruments (n = 45), the authors did not clearly describe one or several aims but they could be presumed from the context (presumably discriminative: n = 32, presumably evaluative: n = 24, presumably planning: n = 9, presumably predictive: n = 9). For 10 instruments (9.6%), the authors did not describe an aim.
Identification of items
Sources of item identification of the included instruments (n = 104)1)
Sources of item identification
Adaptation of existing scales only
Patients & experts & literature (unsystematic search)1)
Literature only (unsystematic search)
Experts and literature (unsystematic search)
Patients and literature (unsystematic search)
Adaptation and literature (unsystematic search)
Patients and experts
Experts and adaptation and literature (unsystematic search)
Patients and adaptation
Adaptation and literature (systematic search)
Adaptation and experts
Patients and adaptation and literature (unsystematic search)
Patients and experts and adaptation
Significant others and literature (unsystematic search) and adaptation
Not reported/not clearly described
The most frequently used method to generate patient input was "interviews with patients" only (for 24 of 39 instruments). Focus groups were less frequently conducted (for 5 of 39 instruments) and for only 1 instrument both interviews and focus groups were conducted. For 7 instruments, the method of generating patient input was not reported and for 2 instruments, patient input was described as "clinical interactions" or "open ended survey". The methods used to obtain expert input were more diverse and varied from interviews with experts to workshops, ratings of relevance, unspecified discussions and undefined consideration of clinical opinion. Literature searches were always conducted unsystematically.
Selection of items
Source and method for item selection of the included instruments (n = 104)1)
Source and method for item selection
Selection with patient input
Patients qualitative and quantitative
Patients quantitative and experts qualitative
Patients and experts qualitative
Patients and experts quantitative
Patients and experts qualitative, patients quantitative
Selection with expert input only
Quantitative and qualitative
Not reported (n = 33) and N/A (n = 1)
Development of domains
The domains were more often developed by factor analysis (n = 36, 34.6%) than by a priori specifications (n = 16, 15.4%). For half of the instruments, the development of the domains was not reported (n = 42, 40.4%) or was not applicable (n = 8, 7.7%). The domains of two instruments were developed by Rasch analysis.
Test-retest reliability was assessed for 63 instruments (60.6%). The most frequently used statistical methods were intraclass correlation coefficients either alone (n = 18) or together with other methods (n = 5). This was followed by Pearson correlation coefficient (n = 10), unspecified correlations (n = 9), various types of t-tests (either alone or together with other methods, n = 6) and various other methods (n = 15). 41 development studies (39.4%) did not report on assessing test-retest reliability.
Internal consistency was assessed in 62 development studies (59.6%). Most frequently internal consistency was assessed by Cronbach's alpha alone (n = 46) or Cronbach's alpha together with other methods (n = 10).
Eighty-eight studies reported on the assessment of validity (84.6%). The most frequently assessed type of validity that the authors described was construct validity (n = 43), followed by convergent/convergence validity (n = 19), discriminant validity (n = 18), concurrent validity (n = 16), content validity (n = 12), criterion validity (n = 11), predictive validity (n = 6), divergent validity (n = 4) and face validity (n = 4). For 25 instruments, the authors did not specify or name the type of validity tested. Most authors reported several types of validity. Validity was most frequently assessed with a correlational approach.
The assessment of responsiveness was reported for 20 instruments only (19.2%). Several methods were used.
Only 3 development studies reported on the MID (2.9%).
Summary of initial validation assessments according to aim of instrument
Conducted initial validation assessments according to described aims of instruments1)
Described aim of instrument
Evaluative (n = 33)
Discriminative (n = 26)
Planning (n = 13)
Predictive (n = 5)
Our systematic review showed that there are many existing PRO instruments measuring various dimensions of physical activity, highlighting the importance of this concept as an outcome measure. The methodological quality of the development process varied considerably across the 104 included instruments. For the majority of the instruments, the aim either was not clearly described or not described at all before the instruments were developed. In addition, patients were often not involved in the item identification process of new instruments, making the adaptation of existing scales, unsystematic literature searches and/or expert input the only sources of item generation. Several instruments used quantitative patient input for item selection, but a surprisingly high number of studies did not describe or report on how items were selected. Also, the quality of the initial validation varied widely between the instruments. Internal consistency and test-retest reliability were assessed more frequently than responsiveness to change. The MID was estimated for only 3 instruments. Some instruments defined an evaluative aim; however, responsiveness was assessed in less than half of these. Many studies assessed construct validity while content validity was assessed for only a minority of the instruments.
Over the last decades, physical activity instruments were traditionally used predominantly in epidemiological research to measure physical activity as a potential determinant of health outcomes [1, 2]. This requires that the instruments are able to discriminate between people in order to identify different levels of physical activity that might be associated with different health outcomes. In recent years, there has been growing interest in physical activity as a PRO measure. For example in obesity research, studies examine the effect of interventions on physical activity [118–120]. The use of physical activity instruments as outcome measures has implications for the development and initial validation process of these scales. Since PROs should be able to detect changes over time, their evaluative power is essential. Consequently, development and initial validation studies should go beyond cross-sectional studies and assess responsiveness to change and the MID in prospective follow-up studies .
PROs for symptoms, health-related quality of life but also for physical activity have become a prevalent outcome in clinical trials. Over the last ten years many new PROs have been developed and validated and it can be expected that in the near future an increasing number of claims on the effectiveness of drugs will be made based on PROs. As a consequence, both the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have developed guidance documents on the requirements for PRO instruments that would allow making drug claims. A key evaluation point for the FDA is the evidence on content validity. Content validity describes the extent of how the instrument measures the concept of interest, which is specific to the population, condition and treatments to be studied. The FDA explicitly asks for patient input for item generation through qualitative research to ensure content validity in the development process of a new instrument [121–123].
Although all of the PRO instruments included in this systematic review were developed before the finalisation of the FDA guidance document in December 2009, it is still surprising that in less than one third of the included studies authors reported on qualitative research for item generation such as patient interviews or focus groups, and a minority declared explicitly to have tested content validity of the newly developed instruments. These findings, along with the fact of poor reporting on item selection methods, indicate that only few physical activity PRO instruments would currently fulfil the FDA and EMA requirements for outcome measures. While the need to establish content validity has been recognised for many years, there has been little pressure to conduct qualitative research as illustrated in our systematic review. This is likely to change; at least in the field of clinical trials as investigators developing new instruments can now follow the FDA and EMA guidance to establish content validity more formally through qualitative research. Existing instruments are in a more difficult position, although they may in retrospect support their relevance to patients through additional qualitative research. For example, one may examine whether the constructs measured by existing instruments align with what patients perceive to be important, or if important aspects are missing.
One strength of this systematic review was the adherence to rigorous systematic review methodology along with the broad search strategy to identify existing physical activity instruments and subscales/domains. We supplemented the systematic database searches by a comprehensive hand search as well as by a PROQolid database search. As we aimed to identify any relevant instruments, we kept the inclusion criteria broad by using the definition for physical activity as described in the "2008 Physical activity guideline for Americans" . Such a broad perspective could also be perceived as a limitation. Although we paid great attention to carefully defining the inclusion criteria, we cannot exclude the possibility of having missed questionnaires. Also, the decision about inclusion or exclusion of the instruments was sometimes ambiguous as for example for instruments assessing specific types of physical activity for chronic illnesses such as multiple sclerosis or chronic pain. In such cases we tried to adopt systematically and scientifically defendable decision criteria for inclusion or exclusion. For multiple sclerosis patients, for example, we did not consider physical activity instruments aiming at impaired hand motor activity but we included those assessing physical activity limitations which are more general and which could also be relevant for other chronic illnesses like "Walking ability"  or "Physical functioning" . Another example includes activity limitations due to pain, where we excluded some instruments such as those targeting specialised pain coping activities, but included instruments such as the Activities of Daily Living Scale . We focused solely on publications of the development and initial validation, which to some extent may underestimate the rigour of the overall development process. Undoubtedly some instruments might have had additional validation studies which we have not included in this review. However, we suspect that many instruments were introduced into research and practice rather rapidly without further validation, and, if validations were conducted during the development process, it is likely that the authors would have published these results as part of the development paper.
Our systematic review showed that there are many existing PRO instruments measuring physical activity in chronically ill and elderly patient populations, highlighting the importance of this concept as an outcome measure. However, the development processes often lacked definitions of the instruments' aims and patient input. If PROs for physical activity are to be used in clinical trials, there needs to be more focus on establishing content validity through patient input, and assessing their evaluative measurement properties.
Katja Rüdell is an honorary lecturer of health psychology at the University of Kent, UK
The study was conducted within the PROactive project which is funded by the Innovative Medicines Initiative Joint Undertaking (IMI JU # 115011). The authors would also like to thank Laura Jacobs for her support in the early stages of the project as well as the PROactive group: Caterina Brindicci and Tim Higenbottam (Chiesi Farmaceutici S.A.), Thierry Trooster and Fabienne Dobbels (Katholieke Universiteit Leuven), Margaret X. Tabberer (Glaxo Smith Kline), Roberto Rabinovitch and Bill McNee (University of Edinburgh, Old College South Bridge), Ioannis Vogiatzis (Thorax Research Foundation, Athens), Michael Polkey and Nick Hopkinson (Royal Brompton and Harefield NHS Foundation Trust), Judith Garcia-Aymerich (Municipal Institute of Medical Research, Barcelona), Milo Puhan and Anja Frei (Universität of Zürich, Zürich), Thys van der Molen and Corina De Jong (University Medical Center, Groningen), Pim de Boer (Netherlands Asthma Foundation, Leusden), Ian Jarrod (British Lung Foundation, UK), Paul McBride (Choice Healthcare Solution, UK), Nadia Kamel (European Respiratory Society, Lausanne), Katja Rudell and Frederick J. Wilson (Pfizer Ltd), Nathalie Ivanoff (Almirall), Karoly Kulich and Alistair Glendenning (Novartis), Niklas X. Karlsson and Solange Corriol-Rohou (AstraZeneca AB), Enkeleida Nikai (UCB) and Damijen Erzen (Boehringer Ingelheim).
- Lagerros YT, Lagiou P: Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. European Journal of Epidemiology 2007,22(6):353–362. 10.1007/s10654-007-9154-xPubMedView ArticleGoogle Scholar
- Valanou EM, Bamia C, Trichopoulou A: Methodology of physical-activity and energy-expenditure assessment: A review. Journal of Public Health 2006,14(2):58–65. 10.1007/s10389-006-0021-0View ArticleGoogle Scholar
- U.S. Department of Health and Human Services: 2008 Physical Activity Guidelines for Americans. [http://www.health.gov/paguidelines/]
- Systematic Reviews. CRD's guidance for undertaking reviews in health care York: Centre for Reviews and Dissemination, University of York; 2009.Google Scholar
- Moher D, Liberati A, Tetzlaff J, Altman DG: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 2009, 339: 332–336.View ArticleGoogle Scholar
- PROactive [http://www.proactivecopd.com/]
- Frei A, Svarin A, Steurer-Stey C, Puhan MA: Self-efficacy instruments for patients with chronic diseases suffer from methodological limitations--a systematic review. Health Qual Life Outcomes 2009, 7: 86. 10.1186/1477-7525-7-86PubMed CentralPubMedView ArticleGoogle Scholar
- ChongHua W, Li G, XiaoMei L: Development of the General Module for the System of Quality of Life Instruments for Patients with Chronic Disease: Items selection and structure of the general module. Chinese Mental Health Journal 2005,19(11):723–726.Google Scholar
- Eto F, Tanaka M, Chishima M, Igarashi M, Mizoguchi T, Wada H, Iijima S: [Comprehensive activities of daily living (ADL) index for the elderly]. Nippon Ronen Igakkai Zasshi - Japanese Journal of Geriatrics 1992,29(11):841–848. 10.3143/geriatrics.29.841PubMedView ArticleGoogle Scholar
- Hashimoto S, Aoki R, Tamakoshi A, Shibazaki S, Nagai M, Kawakami N, Ikari A, Ojima T, Ohno Y: [Development of index of social activities for the elderly]. Nippon Koshu Eisei Zasshi - Japanese Journal of Public Health 1997,44(10):760–768.PubMedGoogle Scholar
- Horiuchi T, Kobayashi Y, Hosoi T, Ishibashi H, Yamamoto S, Yatomi N: [The assessment of the reliability and the validity of the EOQOL questionnaire of osteoporotics--QOL assessment of elderly osteoporotics by EOQOL]. Nippon Ronen Igakkai Zasshi - Japanese Journal of Geriatrics 2005,42(2):229–234. 10.3143/geriatrics.42.229PubMedView ArticleGoogle Scholar
- Inaba Y, Obuchi S, Oka K, Arai T, Nagasawa H, Shiba Y, Kojima M: [Development of a rating scale for self-efficacy of physical activity in frail elderly people]. Nippon Ronen Igakkai Zasshi - Japanese Journal of Geriatrics 2006,43(6):761–768. 10.3143/geriatrics.43.761PubMedView ArticleGoogle Scholar
- Kozaki K, Murata H, Kikuchi R, Sugiyama Y, Hasegawa H, Igata A, Toba K: ["Activity scale for the elderly" as a measurement for the QOL of local elderly individuals and the assessment of the influence of age and exercise]. Nippon Ronen Igakkai Zasshi - Japanese Journal of Geriatrics 2008,45(2):188–195. 10.3143/geriatrics.45.188PubMedView ArticleGoogle Scholar
- Mannerkorpi K, Hernelid C: Leisure Time Physical Activity Instrument and Physical Activity at Home and Work Instrument. Development, face validity, construct validity and test-retest reliability for subjects with fibromyalgia. Disability & Rehabilitation 2005,27(12):695–701. 10.1080/09638280400009063View ArticleGoogle Scholar
- Alvarez-Gutierrez FJ, Miravitlles M, Calle M, Gobartt E, Lopez F, Martin A, Grupo de Estudio EIME: [Impact of chronic obstructive pulmonary disease on activities of daily living: results of the EIME multicenter study]. Archivos de Bronconeumologia 2007,43(2):64–72.PubMedView ArticleGoogle Scholar
- Anagnostis C, Gatchel RJ, Mayer TG: The pain disability questionnaire: a new psychometrically sound measure for chronic musculoskeletal disorders. Spine 2004,29(20):2290–2302. 10.1097/01.brs.0000142221.88111.0fPubMedView ArticleGoogle Scholar
- Anderson KO, Dowds BN, Pelletz RE, Edwards WT, Peeters-Asdourian C: Development and initial validation of a scale to measure self-efficacy beliefs in patients with chronic pain. Pain 1995,63(1):77–84. 10.1016/0304-3959(95)00021-JPubMedView ArticleGoogle Scholar
- Arbuckle TY, Gold DP, Chaikelson JS, Lapidus S: Measurement of activity in the elderly: The Activities Checklist. Canadian Journal on Aging 1994,13(4):550–565. 10.1017/S0714980800006395View ArticleGoogle Scholar
- Avlund K, Kreiner S, Schultz-Larsen K: Functional ability scales for the elderly: a validation study. European journal of public health 1996,6(1):35–42. 10.1093/eurpub/6.1.35View ArticleGoogle Scholar
- Avlund K, Schultz-Larsen K, Kreiner S: The measurement of instrumental ADL: content validity and construct validity. Aging-Clinical & Experimental Research 1993,5(5):371–383.View ArticleGoogle Scholar
- Baiardini I, Braido F, Fassio O, Tarantini F, Pasquali M, Tarchino F, Berlendis A, Canonica GW: A new tool to assess and monitor the burden of chronic cough on quality of life: Chronic Cough Impact Questionnaire. Allergy: European Journal of Allergy and Clinical Immunology 2005,60(4):482. 10.1111/j.1398-9995.2005.00743.xPubMedView ArticleGoogle Scholar
- Bergner MPD, Bobbitt RAPD, Carter WBPD, Gilson BSMD: The Sickness Impact Profile: Development and Final Revision of a Health Status Measure. Medical care 1981,19(8):787–805. 10.1097/00005650-198108000-00001PubMedView ArticleGoogle Scholar
- Bula CJ, Martin E, Rochat S, Piot-Ziegler C: Validation of an adapted falls efficacy scale in older rehabilitation patients. Archives of Physical Medicine & Rehabilitation 2008,89(2):291–296. 10.1016/j.apmr.2007.08.152View ArticleGoogle Scholar
- Burckhardt CS, Clark SR, Bennett RM: The fibromyalgia impact questionnaire: development and validation. The Journal of rheumatology 1991,18(5):728–733.PubMedGoogle Scholar
- Calin A, Garrett S, Whitelock H, Kennedy LG, O'Hea J, Mallorie P, Jenkinson T: A new approach to defining functional ability in ankylosing spondylitis: the development of the Bath Ankylosing Spondylitis Functional Index. The Journal of rheumatology 1994,21(12):2281–2285.PubMedGoogle Scholar
- Cardol M, de Haan RJ, de Jong BA, van den Bos GA, de Groot IJ: Psychometric properties of the Impact on Participation and Autonomy Questionnaire. Archives of Physical Medicine & Rehabilitation 2001,82(2):210–216. 10.1053/apmr.2001.18218View ArticleGoogle Scholar
- Cardol M, de Haan RJ, van den Bos GA, de Jong BA, de Groot IJ: The development of a handicap assessment questionnaire: the Impact on Participation and Autonomy (IPA). Clinical rehabilitation 1999,13(5):411–419. 10.1191/026921599668601325PubMedView ArticleGoogle Scholar
- Carone M, Bertolotti G, Anchisi F, Zotti AM, Donner CF, Jones PW: Analysis of factors that characterize health impairment in patients with chronic respiratory failure. Quality of Life in Chronic Respiratory Failure Group. European Respiratory Journal 1999,13(6):1293–1300. 10.1183/09031936.99.13613019PubMedView ArticleGoogle Scholar
- Caspersen CJ, Bloemberg BPM, Saris WHM, Merritt RK, Kromhout D: The Prevalence of Selected Physical Activities and Their Relation with Coronary Heart Disease Risk Factors in Elderly Men: The Zutphen Study, 1985. American Journal of Epidemiology 1991,133(11):1078–1092.PubMedGoogle Scholar
- Chou K: Hong Kong Chinese Everyday Competence Scale: a validation study. Clinical gerontologist 2003,26(1):43–51. 10.1300/J018v26n01_05View ArticleGoogle Scholar
- Clark DO, Callahan CM, Counsell SR: Reliability and validity of a steadiness score. Journal of the American Geriatrics Society 2005,53(9):1582–1586. 10.1111/j.1532-5415.2005.53485.xPubMedView ArticleGoogle Scholar
- Clark MS, Bond MJ: The Adelaide Activities Profile: a measure of the life-style activities of elderly people. Aging-Clinical & Experimental Research 1995,7(4):174–184.View ArticleGoogle Scholar
- Dallosso HM, Morgan K, Bassey EJ, Ebrahim SB, Fentem PH, Arie TH: Levels of customary physical activity among the old and the very old living at home. Journal of Epidemiology & Community Health 1988,42(2):121–127. 10.1136/jech.42.2.121View ArticleGoogle Scholar
- Davis AH, Figueredo AJ, Fahy BF, Rawiworrakul T: Reliability and validity of the Exercise Self-Regulatory Efficacy Scale for individuals with chronic obstructive pulmonary disease. Heart & Lung 2007,36(3):205–216. 10.1016/j.hrtlng.2006.08.007View ArticleGoogle Scholar
- Dipietro L, Caspersen CJ, Ostfeld AM, Nadel ER: A survey for assessing physical activity among older adults. Medicine & Science in Sports & Exercise 1993,25(5):628–642.View ArticleGoogle Scholar
- Dorevitch MI, Cossar RM, Bailey FJ, Bisset T, Lewis SJ, Wise LA, MacLennan WJ: The accuracy of self and informant ratings of physical functional capacity in the elderly. Journal of clinical epidemiology 1992,45(7):791–798. 10.1016/0895-4356(92)90057-TPubMedView ArticleGoogle Scholar
- Dunderdale K, Thompson DR, Beer SF, Furze G, Miles JNV: Development and validation of a patient-centered health-related quality-of-life measure: the Chronic Heart Failure Assessment Tool. Journal of Cardiovascular Nursing 2008,23(4):364–370.PubMedView ArticleGoogle Scholar
- Eakin EG, Resnikoff PM, Prewitt LM, Ries AL, Kaplan RM: Validation of a new dyspnea measure: the UCSD Shortness of Breath Questionnaire. Chest 1998,113(3):619–624. 10.1378/chest.113.3.619PubMedView ArticleGoogle Scholar
- Eakman AM: A reliability and validity study of the Meaningful Activity Participation Assessment. University of Southern California; 2007.Google Scholar
- Fillenbaum GG: Screening the elderly. A brief instrumental activities of daily living measure. Journal of the American Geriatrics Society 1985,33(10):698–706.PubMedView ArticleGoogle Scholar
- Fillenbaum GG, Smyer MA: The development, validity, and reliability of the OARS multidimensional functional assessment questionnaire. Journal of gerontology 1981,36(4):428–434.PubMedView ArticleGoogle Scholar
- Finch M, Kane RL, Philp I: Developing a new metric for ADLs. Journal of the American Geriatrics Society 1995,43(8):877–884.PubMedView ArticleGoogle Scholar
- Follick MJ, Ahern DK, Laser-Wolston N: Evaluation of a daily activity diary for chronic pain patients. Pain 1984,19(4):373–382. 10.1016/0304-3959(84)90083-6PubMedView ArticleGoogle Scholar
- Frederiks CM, te Wierik MJ, Visser AP, Sturmans F: The functional status and utilization of care of elderly people living at home. Journal of community health 1990,15(5):307–317. 10.1007/BF01325138PubMedView ArticleGoogle Scholar
- Friedenreich CM, Courneya KS, Bryant HE: The lifetime total physical activity questionnaire: development and reliability. Medicine & Science in Sports & Exercise 1998,30(2):266–274. 10.1097/00005768-199802000-00015View ArticleGoogle Scholar
- Fries JF, Spitz PW, Young DY: The dimensions of health outcomes: the health assessment questionnaire, disability and pain scales. The Journal of rheumatology 1982,9(5):789–793.PubMedGoogle Scholar
- Garrad J, Bennett AE: A validated interview schedule for use in population surveys of chronic disease and disability. British journal of preventive & social medicine 1971,25(2):97–104.Google Scholar
- Garrod R, Bestall JC, Paul EA, Wedzicha JA, Jones PW: Development and validation of a standardized measure of activity of daily living in patients with severe COPD: the London Chest Activity of Daily Living scale (LCADL). Respiratory medicine 2000,94(6):589–596. 10.1053/rmed.2000.0786PubMedView ArticleGoogle Scholar
- Guyatt GH, Berman LB, Townsend M, Pugsley SO, Chambers LW: A measure of quality of life for clinical trials in chronic lung disease. Thorax 1987,42(10):773–778. 10.1136/thx.42.10.773PubMed CentralPubMedView ArticleGoogle Scholar
- Guyatt GH, Eagle DJ, Sackett B, Willan A, Griffith L, McIlroy W, Patterson CJ, Turpie I: Measuring quality of life in the frail elderly. Journal of clinical epidemiology 1993,46(12):1433–1444. 10.1016/0895-4356(93)90143-OPubMedView ArticleGoogle Scholar
- Harwood RH, Rogers A, Dickinson E, Ebrahim S: Measuring handicap: the London Handicap Scale, a new outcome measure for chronic disease. Quality in Health Care 1994,3(1):11–16. 10.1136/qshc.3.1.11PubMed CentralPubMedView ArticleGoogle Scholar
- Helmes E, Hodsman A, Lazowski D, Bhardwaj A, Crilly R, Nichol P, Drost D, Vanderburgh L, Pederson L: A Questionnaire To Evaluate Disability in Osteoporotic Patients With Vertebral Compression Fractures. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 1995,50A(2):M91-M98. 10.1093/gerona/50A.2.M91View ArticleGoogle Scholar
- Hlatky MA, Boineau RE, Higginbotham MB, Lee KL, Mark DB, Califf RM, Cobb FR, Pryor DB: A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). American Journal of Cardiology 1989,64(10):651–654. 10.1016/0002-9149(89)90496-7PubMedView ArticleGoogle Scholar
- Hobart JC, Riazi A, Lamping DL, Fitzpatrick R, Thompson AJ: Measuring the impact of MS on walking ability: The 12-Item MS Walking Scale (MSWS-12). Neurology 2003,60(1):31–36.PubMedView ArticleGoogle Scholar
- Holbrook M, Skilbeck CE: An activities index for use with stroke patients. Age & Ageing 1983,12(2):166–170. 10.1093/ageing/12.2.166View ArticleGoogle Scholar
- Hyland ME: The Living with Asthma Questionnaire. Respiratory medicine 1991,85(Supplement 2):13–16.PubMedView ArticleGoogle Scholar
- Jacobs JE, Maille AR, Akkermans RP, van Weel C, Grol RP: Assessing the quality of life of adults with chronic respiratory diseases in routine primary care: construction and first validation of the 10-Item Respiratory Illness Questionnaire-monitoring 10 (RIQ-MON10). Quality of Life Research 2004,13(6):1117–1127.PubMedView ArticleGoogle Scholar
- Jette AM, Deniston OL: Inter-observer reliability of a functional status assessment instrument. Journal of chronic diseases 1978,31(9–10):573–580. 10.1016/0021-9681(78)90017-6PubMedView ArticleGoogle Scholar
- Jones PW, Quirk FH, Baveystock CM, Littlejohns P: A self-complete measure of health status for chronic airflow limitation. The St. George's Respiratory Questionnaire. The American Review of Respiratory Disease 1992,145(6):1321.PubMedView ArticleGoogle Scholar
- Kaplan RM, Sieber WJ, Ganiats TG: The quality of well-being scale: comparison of the interviewer-administered version with a self-administered questionnaire. Psychology and Health 1997,12(Journal Article):783–791.View ArticleGoogle Scholar
- Keith RA, Granger CV, Hamilton BB, Sherwin FS: The functional independence measure: a new tool for rehabilitation. Advances in Clinical Rehabilitation 1987,1(Journal Article):6–18.PubMedGoogle Scholar
- Kempen GI, Suurmeijer TP: The development of a hierarchical polychotomous ADL-IADL scale for noninstitutionalized elders. Gerontologist 1990,30(4):497–502. 10.1093/geront/30.4.497PubMedView ArticleGoogle Scholar
- Kuhl K, Schurmann W, Rief W: COPD disability index (CDI) - a new instrument to assess COPD-related disability. COPD-Disability-Index (CDI) - ein neues Verfahren zur Erfassung der COPD-bedingten Beeintrachtigung 2009,63(3):136.Google Scholar
- Lareau SC, Carrieri-Kohlman V, Janson-Bjerklie S, Roos PJ: Development and testing of the Pulmonary Functional Status and Dyspnea Questionnaire (PFSDQ). Heart & Lung 1994,23(3):242–250.Google Scholar
- Lareau SC, Meek PM, Roos PJ: Development and testing of the modified version of the Pulmonary Functional Status and Dyspnea Questionnaire (PFSDQ-M). Heart & Lung 1998,27(3):159–168. 10.1016/S0147-9563(98)90003-6View ArticleGoogle Scholar
- Lee L, Friesen M, Lambert IR, Loudon RG: Evaluation of Dyspnea During Physical and Speech Activities in Patients With Pulmonary Diseases. Chest 1998,113(3):625–632. 10.1378/chest.113.3.625PubMedView ArticleGoogle Scholar
- Leidy NK: Psychometric properties of the functional performance inventory in patients with chronic obstructive pulmonary disease. Nursing research 1999,48(1):20–28. 10.1097/00006199-199901000-00004PubMedView ArticleGoogle Scholar
- Lerner D, Amick BC III, Rogers WH, Malspeis S, Bungay K, Cynn D: The Work Limitations Questionnaire. Medical care 2001,39(1):72–85. 10.1097/00005650-200101000-00009PubMedView ArticleGoogle Scholar
- Letrait M, Lurie A, Bean K, Mesbah M, Venot A, Strauch G, Grandordy BM, Chwalow J: The Asthma Impact Record (AIR) index: a rating scale to evaluate the quality of life of asthmatic patients in France. European Respiratory Journal 1996,9(6):1167–1173. 10.1183/09031936.96.09061167PubMedView ArticleGoogle Scholar
- Lewin RJ, Thompson DR, Martin CR, Stuckey N, Devlen J, Michaelson S, Maguire P: Validation of the Cardiovascular Limitations and Symptoms Profile (CLASP) in chronic stable angina. Journal of cardiopulmonary rehabilitation 2002,22(3):184–191. 10.1097/00008483-200205000-00010PubMedView ArticleGoogle Scholar
- Linton SJ: Activities of daily living scale for patients with chronic pain. Perceptual & Motor Skills 1990,71(3 Pt 1):722.View ArticleGoogle Scholar
- Liu B, Woo J, Tang N, Ng K, Ip R, Yu A: Assessment of total energy expenditure in a Chinese population by a physical activity questionnaire: examination of validity. International Journal of Food Sciences & Nutrition 2001,52(3):269–282. 10.1080/09637480120044138View ArticleGoogle Scholar
- Maillé AR, Koning CJM, Zwinderman AH, Willems LNA, Dijkman JH, Kaptein AA: The development of the [`]Quality-of-Life for Respiratory Illness Questionnaire (QOL-RIQ)': a disease-specific quality-of-life questionnaire for patients with mild to moderate chronic non-specific lung disease. Respiratory Medicine 1997,91(5):297–309. 10.1016/S0954-6111(97)90034-2PubMedView ArticleGoogle Scholar
- Mathias SD, Bussel JB, George JN, McMillan R, Okano GJ, Nichol JL: A disease-specific measure of health-related quality of life in adults with chronic immune thrombocytopenic purpura: psychometric testing in an open-label clinical trial. Clinical therapeutics 2007,29(5):950–962. 10.1016/j.clinthera.2007.05.005PubMedView ArticleGoogle Scholar
- Mathuranath PS, George A, Cherian PJ, Mathew R, Sarma PS: Instrumental activities of daily living scale for dementia screening in elderly people. International Psychogeriatrics 2005,17(3):461–474. 10.1017/S1041610205001547PubMedView ArticleGoogle Scholar
- Mayer J, Mooney V, Matheson L, Leggett S, Verna J, Balourdas G, DeFilippo G: Reliability and validity of a new computer-administered pictorial activity and task sort. Journal of Occupational Rehabilitation 2005,15(2):203–213. 10.1007/s10926-005-1219-7PubMedView ArticleGoogle Scholar
- McHorney CA, Ware JE Jr, Lu JF, Sherbourne CD: The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical care 1994,32(1):40–66. 10.1097/00005650-199401000-00004PubMedView ArticleGoogle Scholar
- Migliore Norweg A, Whiteson J, Demetis S, Rey M: A new functional status outcome measure of dyspnea and anxiety for adults with lung disease: the dyspnea management questionnaire. Journal of cardiopulmonary rehabilitation 2006,26(6):395–404. 10.1097/00008483-200611000-00010PubMedView ArticleGoogle Scholar
- Moriarty D, Zack M, Kobau R: The Centers for Disease Control and Prevention's Healthy Days Measures - Population tracking of perceived physical and mental health over time. Health and Quality of Life Outcomes 2003,1(1):37. 10.1186/1477-7525-1-37PubMed CentralPubMedView ArticleGoogle Scholar
- Morimoto M, Takai K, Nakajima K, Kagawa K: Development of the chronic obstructive pulmonary disease activity rating scale: reliability, validity and factorial structure. Nursing & health sciences 2003,5(1):23–30. 10.1046/j.1442-2018.2003.00131.xView ArticleGoogle Scholar
- Morris WW, Buckwalter KC, Cleary TA, Gilmer JS: Issues related to the validation of the Iowa Self-Assessment Inventory. Educational and Psychological Measurement 1989,49(4):853–861. 10.1177/001316448904900408View ArticleGoogle Scholar
- Myers J, Do D, Herbert W, Ribisl P, Froelicher VF: A nomogram to predict exercise capacity from a specific activity questionnaire and clinical data. American Journal of Cardiology 1994,73(8):591–596. 10.1016/0002-9149(94)90340-9PubMedView ArticleGoogle Scholar
- Nijs J, Vaes P, McGregor N, Van Hoof E, De Meirleir K: Psychometric properties of the Dutch Chronic Fatigue Syndrome-Activities and Participation Questionnaire (CFS-APQ). Physical Therapy 2003,83(5):444–454.PubMedGoogle Scholar
- Nouri FM, Lincoln NB: An extended activities of daily living scale for stroke patients. Clinical rehabilitation 1987,1(4):301–305. 10.1177/026921558700100409View ArticleGoogle Scholar
- Parkerson GRJMDMPH, Gehlbach SHMDMPH, Wagner EHMDMPH, James SAPD, Clapp NERNMPH, Muhlbaier LHMS: The Duke-UNC Health Profile: An Adult Health Status Instrument for Primary Care. Medical care 1981,19(8):806–828. 10.1097/00005650-198108000-00002PubMedView ArticleGoogle Scholar
- Pluijm SM, Bardage C, Nikula S, Blumstein T, Jylha M, Minicuci N, Zunzunegui MV, Pedersen NL, Deeg DJ: A harmonized measure of activities of daily living was a reliable and valid instrument for comparing disability in older people across countries. Journal of clinical epidemiology 2005,58(10):1015–1023. 10.1016/j.jclinepi.2005.01.017PubMedView ArticleGoogle Scholar
- Rankin SL, Briffa TG, Morton AR, Hung J: A specific activity questionnaire to measure the functional capacity of cardiac patients. American Journal of Cardiology 1996,77(14):1220–1223. 10.1016/S0002-9149(97)89157-6PubMedView ArticleGoogle Scholar
- Regensteiner JG, Steiner JF, Panzer RJ, Hiatt WR: Evaluation of walking impairment by questionnaire in patients with peripheral arterial disease. J Vasc Med Biol 1990, 2: 142–152.Google Scholar
- Rejeski WJ, Ettinger JWH, Schumaker S, James P, Burns R, Elam JT: Assessing performance-related disability in patients with knee osteoarthritis. Osteoarthritis and Cartilage 1995,3(3):157–167. 10.1016/S1063-4584(05)80050-0PubMedView ArticleGoogle Scholar
- Resnick B, Jenkins LS: Testing the reliability and validity of the Self-Efficacy for Exercise Scale. Nursing research 2000,49(3):154–159. 10.1097/00006199-200005000-00007PubMedView ArticleGoogle Scholar
- Rimmer JH, Riley BB, Rubin SS: A new measure for assessing the physical activity behaviors of persons with disabilities and chronic health conditions: the Physical Activity and Disability Survey. American Journal of Health Promotion 2001,16(1):34–42. 10.4278/0890-1171-16.1.34PubMedView ArticleGoogle Scholar
- Roland M, Morris R: A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain. Spine 1983,8(2):141–144. 10.1097/00007632-198303000-00004PubMedView ArticleGoogle Scholar
- Rotstein Z, Barak Y, Noy S, Achiron A: Quality of life in multiple sclerosis: development and validation of the 'RAYS' scale and comparison with the SF-36. International Journal for Quality in Health Care 2000,12(6):511–517. 10.1093/intqhc/12.6.511PubMedView ArticleGoogle Scholar
- Schag AC, Heinrich RL, Aadland RL, Ganz PA: Assessing Problems of Cancer Patients: Psychometric Properties of the Cancer Inventory of Problem Situations. Health Psychology 1990,9(1):83–102.PubMedView ArticleGoogle Scholar
- Schultz-Larsen K, Avlund K, Kreiner S: Functional ability of community dwelling elderly. Criterion-related validity of a new measure of functional ability. Journal of clinical epidemiology 1992,45(11):1315–1326. 10.1016/0895-4356(92)90172-JPubMedView ArticleGoogle Scholar
- Shah S, Vanclay F, Cooper B: Improving the sensitivity of the Barthel Index for stroke rehabilitation. Journal of clinical epidemiology 1989,42(8):703–709. 10.1016/0895-4356(89)90065-6PubMedView ArticleGoogle Scholar
- Sintonen H: The 15-D Measure of Health Reated Quality of Life: Reliability, Validity and Sensitivity of its Health State Descriptive System. 1994.Google Scholar
- Sintonen H: The 15D instrument of health-related quality of life: properties and applications. Annals of Medicine 2001,33(5):328–336. 10.3109/07853890109002086PubMedView ArticleGoogle Scholar
- So CT, Man DWK: Development and validation of an activities of daily living inventory for the rehabilitation of patients with chronic obstructive pulmonary disease. OTJR: Occupation, Participation & Health 2008,28(4):149–159. 10.3928/15394492-20080901-04Google Scholar
- Stel VS, Smit JH, Pluijm SM, Visser M, Deeg DJ, Lips P: Comparison of the LASA Physical Activity Questionnaire with a 7-day diary and pedometer. Journal of clinical epidemiology 2004,57(3):252–258. 10.1016/j.jclinepi.2003.07.008PubMedView ArticleGoogle Scholar
- Stewart AL, Mills KM, King AC, Haskell WL, Gillis D, Ritter PL: CHAMPS physical activity questionnaire for older adults: outcomes for interventions. Medicine & Science in Sports & Exercise 2001,33(7):1126–1141.View ArticleGoogle Scholar
- Tinetti ME, Richman D, Powell L: Falls efficacy as a measure of fear of falling. Journal of gerontology 1990,45(6):P239–243.PubMedView ArticleGoogle Scholar
- Topolski TD, LoGerfo J, Patrick DL, Williams B, Walwick J, Patrick MB: The Rapid Assessment of Physical Activity (RAPA) among older adults. Prev Chronic Dis 2006,3(4):A118.PubMed CentralPubMedGoogle Scholar
- Tu SP, McDonell MB, Spertus JA, Steele BG, Fihn SD: A new self-administered questionnaire to monitor health-related quality of life in patients with COPD. Ambulatory Care Quality Improvement Project (ACQUIP) Investigators. Chest 1997,112(3):614–622. 10.1378/chest.112.3.614PubMedView ArticleGoogle Scholar
- Tugwell P, Bombardier C, Buchanan WW, Goldsmith CH, Grace E, Hanna B: The MACTAR Patient Preference Disability Questionnaire--an individualized functional priority approach for assessing improvement in physical disability in clinical trials in rheumatoid arthritis. The Journal of rheumatology 1987,14(3):446–451.PubMedGoogle Scholar
- van der Molen T, Willemse BW, Schokker S, ten Hacken NH, Postma DS, Juniper EF: Development, validity and responsiveness of the Clinical COPD Questionnaire. Health & Quality of Life Outcomes 2003,1(Journal Article):13.View ArticleGoogle Scholar
- Verbunt JA: Reliability and validity of the PAD questionnaire: a measure to assess pain-related decline in physical activity. Journal of Rehabilitation Medicine 2008,40(1):9–14. 10.2340/16501977-0126PubMedView ArticleGoogle Scholar
- Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA: A physical activity questionnaire for the elderly. Medicine & Science in Sports & Exercise 1991,23(8):974–979.View ArticleGoogle Scholar
- Washburn RA, Smith KW, Jette AM, Janney CA: The Physical Activity Scale for the Elderly (PASE): development and evaluation. Journal of clinical epidemiology 1993,46(2):153–162. 10.1016/0895-4356(93)90053-4PubMedView ArticleGoogle Scholar
- Weaver TE, Narsavage GL, Guilfoyle MJ: The development and psychometric evaluation of the Pulmonary Functional Status Scale: an instrument to assess functional status in pulmonary disease. Journal of cardiopulmonary rehabilitation 1998,18(2):105–111. 10.1097/00008483-199803000-00003PubMedView ArticleGoogle Scholar
- Wigal JK, Creer TL, Kotses H: The COPD Self-Efficacy Scale. Chest 1991,99(5):1193–1196. 10.1378/chest.99.5.1193PubMedView ArticleGoogle Scholar
- Windisch W, Freidel K, Schucher B, Baumann H, Wiebel M, Matthys H, Petermann F: The Severe Respiratory Insufficiency (SRI) Questionnaire A specific measure of health-related quality of life in patients receiving home mechanical ventilation. Journal of clinical epidemiology 2003,56(8):752–759. 10.1016/S0895-4356(03)00088-XPubMedView ArticleGoogle Scholar
- Yohannes AM, Roomi J, Winn S, Connolly MJ: The Manchester Respiratory Activities of Daily Living questionnaire: development, reliability, validity, and responsiveness to pulmonary rehabilitation. Journal of the American Geriatrics Society 2000,48(11):1496–1500.PubMedGoogle Scholar
- Yoza Y, Ariyoshi K, Honda S, Taniguchi H, Senjyu H: Development of an activity of daily living scale for patients with COPD: the Activity of Daily Living Dyspnoea scale. Respirology 2009,14(3):429–435. 10.1111/j.1440-1843.2009.01479.xPubMedView ArticleGoogle Scholar
- Zaragoza J, Lugli-Rivero Z: Development and Validation of a Quality of Life Questionnaire for Patients with Chronic Respiratory Disease (CV-PERC): Preliminary Results. Construccion y validacion del instrumento Calidad de Vida en Pacientes con Enfermedades Respiratorias Cronicas (CV-PERC) Resultados preliminares 2009,45(2):81.Google Scholar
- Zhou YQ, Chen SY, Jiang LD, Guo CY, Shen ZY, Huang PX, Wang JY: Development and evaluation of the quality of life instrument in chronic liver disease patients with minimal hepatic encephalopathy. Journal of Gastroenterology & Hepatology 2009,24(3):408–415. 10.1111/j.1440-1746.2008.05678.xView ArticleGoogle Scholar
- Zisberg A: Influence of routine on functional status in elderly: development and validation of an instrument to measure routine. University of Washington; 2005.Google Scholar
- Lombard C, Deeks A, Jolley D, Ball K, Teede H: A low intensity, community based lifestyle programme to prevent weight gain in women with young children: cluster randomised controlled trial. BMJ (Clinical research ed) 2010, 341: c3215. 10.1136/bmj.c3215View ArticleGoogle Scholar
- Neumark-Sztainer DR, Friend SE, Flattum CF, Hannan PJ, Story MT, Bauer KW, Feldman SB, Petrich CA: New moves-preventing weight-related problems in adolescent girls: A group-randomized study. American Journal of Preventive Medicine 2010,39(5):421–432. 10.1016/j.amepre.2010.07.017PubMed CentralPubMedView ArticleGoogle Scholar
- Pekmezi DW, Neighbors CJ, Lee CS, Gans KM, Bock BC, Morrow KM, Marquez B, Dunsiger S, Marcus BH: A Culturally Adapted Physical Activity Intervention for Latinas. A Randomized Controlled Trial. American Journal of Preventive Medicine 2009,37(6):495–500. 10.1016/j.amepre.2009.08.023PubMed CentralPubMedView ArticleGoogle Scholar
- U.S. Department of Health and Human Services: Guidance for industry - Patient-reported outcome measures: Use in medical product development to support labeling claims. Edited by: Administration FaD. Silver Spring, MD; 2009.Google Scholar
- Bottomley A, Jones D, Claassens L: Patient-reported outcomes: Assessment and current perspectives of the guidelines of the Food and Drug Administration and the reflection paper of the European Medicines Agency. European Journal of Cancer 2009,45(3):347–353. 10.1016/j.ejca.2008.09.032PubMedView ArticleGoogle Scholar
- European Medicines Agency (EMA): CHMP Reflection Paper on the Regulatory Guidance for the Use of Health Related Quality of life Measures in the Evaluation of Medicinal Products. 2006. [http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2009/09/WC500003637.pdf]Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.