- Open Access
A tool to measure the attributes of receiving IV therapy in a home versus hospital setting: the Multiple Sclerosis Relapse Management Scale (MSRMS)
© Riazi et al; licensee BioMed Central Ltd. 2011
- Received: 13 January 2011
- Accepted: 26 September 2011
- Published: 26 September 2011
Intravenous steroids are routinely used to treat disabling relapses in multiple sclerosis (MS). Theoretically, the infusion could take place at home, rather than in hospital. Findings from other patient populations suggest that patients may find the experiences of home relapse management more desirable. However, formal comparison of these two settings, from the patients' point of view, was prevented by the lack of a clinical scale. We report the development of a rating scale to measure patient's experiences of relapse management that allowed this question to be answered confidently.
Scale development had three stages. First, in-depth interviews of 21 MS patients generated a conceptual model and pool of potential scale items. Second, these items were administered to 160 people with relapsing-remitting MS. Standard psychometric techniques were used to develop a scale. Third, the psychometric properties of the scale were evaluated in a randomised controlled trial of 138 patients whose relapses were managed either at home or hospital.
A preliminary conceptual model with eight dimensions, and a pool of 154 items was generated. From this we developed the MS Relapse Management Scale (MSRMS), a 42-item with four subscales: access to care (6 items), coordination of care (11 items), information (7 items), interpersonal care (18 items). The MSRMS subscales satisfied most psychometric criteria but had notable floor effects.
The MSRMS is a reliable and valid measure of patients' experiences of MS relapse management. The high floor effects suggest most respondents had positive care experiences. Results demonstrate that patients' experiences of relapse management can be measured, and that the MSRMS is a powerful tool for determining which services to develop, support and ultimately commission.
- Multiple Sclerosis
- Multiple Sclerosis Patient
- Expand Disability Status Scale
- Multiple Sclerosis Relapse
- Interpersonal Care
Most people with multiple sclerosis (MS) follow an initial course of relapsing-remitting MS (RRMS), although many people go on to the phase of secondary progressive MS (SPMS), in which disability accumulates steadily with or without superimposed relapses . It has been estimated that 8-10, 000 relapses will occur in the UK per annum , with only 60% recovering completely . The standard treatment of acute disabling relapses is steroid based, often intravenous methylprednisolone (IVMP), administered at hospital or, rarely, in the home setting .
In other disciplines, such as cancer chemotherapy, it is acceptable practice to administer IV therapies at home, with clear benefits being demonstrated in compliance, satisfaction and cost [5–7]. It is therefore important to extend this model to the use of IVMP for disabling MS relapses, so that a clear policy decision can be made: hospital or community? Whilst it is likely that home administration of IVMP may be more suitable from the patients' perspective, a randomised controlled trial (RCT) is required to compare the health care experiences in these settings. Yet, to do this an explicit and valid outcome measure to quantify patients' experiences of relapse management is needed as the primary outcome. Although patient "satisfaction" ratings are often used as outcome measures when evaluating medical care from the patients' perspective, they have limitations. Typically, they result in very positive ratings that do not discriminate between people, and are insensitive to specific problems in care delivery . This is probably because "satisfaction" is an ill-defined term. It is more useful clinically, to refine the measurement of patients' experiences by quantifying the main aspects of relapse management that people with MS find important. Ratings on these variables can then be compared across different treatments. This article reports the development of a rating scale measuring the essential aspects of patients' experiences in MS relapse management, to be used in a trial of delivery of IV steroids.
The scale was developed in three stages. First, in-depth interviews of 21 MS patients generated a conceptual model of relapse management and pool of potential scale items. Second, this pool of items was administered by postal survey to 160 people with relapsing-remitting MS, and standard psychometric techniques were used to develop a rating scale. Third, the scale was evaluated for five psychometric properties in a randomised controlled trial of 138 patients whose relapses were managed at either home or hospital.
Stage 1: Conceptual model formation and item generation
In-depth, one-to-one, interviews focusing specifically on people's experiences of relapse management were conducted with MS patients recently treated for relapses with IVMP. Patients were recruited from two UK clinical sites: the National Hospital for Neurology and Neurosurgery in London (NHNN), and Derriford Hospital in Plymouth. The ethical committees of both hospitals approved the study.
English-speaking adults, 18 years and over, were eligible for interview. To capture a full range of patient experiences, patients were chosen to ensure a wide variance of age, sex, disease duration and place of relapse management (home, outpatient, inpatient). Interviews were taped recorded, transcribed and content analysed using WinMax qualitative software . In addition, a comprehensive literature review identified relevant areas and potential items for inclusion.
This qualitative stage had two goals. First, to identify the main components of relapse management that patients define as important. Second, to generate a pool of items that would eventually attempt to manifest each of these components as a rating scale. In practice, this was an iterative process in which different ideas about the key components, and how the items might be grouped were considered and integrated. This process continued until items were grouped under the most clinically appropriate component and a preliminary questionnaire was produced. This questionnaire was pre-tested in a small group of MS patients (recently treated for relapses) to identify and clarify ambiguities in wording and meaning.
Stage 2: Item reduction and scale development
The questionnaire developed in stage 1 was posted to 379 people with relapsing-remitting MS on a disease modifying drugs database attending NHNN. The booklet also contained two disease specific measures of MS impact: the Multiple Sclerosis Impact Scale (MSIS-29; ) and the Multiple Sclerosis Walking Scale (MSWS-12; ). To encourage high response rates we used personalised letters, standardised instructions, and two reminders for non-responders at three and five weeks. Data collection was closed three weeks after posting the second reminder
Summary of psychometric properties evaluated and the criteria used for determining the adequacy of the MSRMS
Criterion for adequacy
Item analysis and scale development
Items were eliminated due to:
high missing data (> 10%);
maximum endorsement frequencies (percentage of responses for the most frequently endorsed category) > 80%;
sum of endorsement frequencies for any 2 adjacent item response categories < 10%;
For each item that correlated highly with another item (> = 0.75), the item with the least favourable
properties (on the other criteria above) was eliminated
In principal components factor analysis (a method for reducing data while retaining those characteristics of the dataset that contribute most to its variance):
Items that did not correlate (< 0.30) with the first unrotated component were removed, as it indicates that the items
are not measuring a single underlying construct
Items that did not load on any factors (< 0.40) or cross-loaded on two or more factors (< 0.20) were removed (the aim was
to achieve a simple structure, that is, each item should be associated with one and only one factor)
Missing item data < 10%
High % computable scale scores
Similar response-option frequency distributions
Similar mean scores and variances
Similar and substantial (r > 0.30) item-total correlations 
Scores span the full scale range 
Mean scores near the midpoint 
Floor and ceiling effects (endorsement at the bottom and the highest end of the scale) < 20% 
Cronbach's alpha (an indicator of internal consistency, or the extent to which items are interrelated) > 0.70 
Discriminant construct validity, (evidence that the scale do not correlate with dissimilar measures) evidenced by low correlations (r < 0.30) between all subscales of the MSRMS and the Multiple Sclerosis Impact Scale (MSIS-29)  scales and the Medical Outcomes Study Short-form Health Survey SF-36 scales (SF-36) 
Group differences validity, (the ability of the MSRMS scores to differentiate groups expected to differ) evidenced by stepwise mean differences in MSRMS scores for groups defined by patients' response to the single item question: "Overall, how would you rate the quality of care you received for your relapse? 1 = poor, 2 = fair, 3 = good, 4 = very good, 5 = excellent"
We also performed the following preliminary tests on each subscale of the instrument (Multiple Sclerosis Relapse Management Scale: MSRMS): data quality (missing data for each item), scaling assumptions (evidence that items in the same subscale can be summed to produce scale scores), targeting of scale to the sample (score distributions), reliability (the extent to which the scales are free from random error), and validity (evidence that the scales are measuring what they intend to measure) (Table 1). These psychometric properties are fully described in previous publications [10, 13].
Stage 3: Psychometric evaluation of the MSRMS
One hundred and thirty-eight people were enrolled in a RCT of home versus outpatient management of MS relapses (for more information regarding the two groups in the trial, adverse events, and outcomes of the trial, please see ). Each person completed the MSRMS 1 week after receiving their course of treatment (methylprednisolone, 1 g/day, for three days). At the same time patients were asked to answer a single global question, "Overall, how would you rate the quality of care you received for your relapse? 1 = poor, 2 = fair, 3 = good, 4 = very good, 5 = excellent". The SF-36 , a generic health status measure, the MSIS-29 , the MSWS-12 , and Kurtzke's Expanded Disability Status Scale (EDSS) , were also completed on the first day of treatment and 6 weeks follow-up. These scales were used as validating instruments, and to compare the samples in the two arms pre and post treatment.
We re-examined the same five psychometric properties of the MSRMS (data quality, scaling assumptions, targeting, reliability, and validity) in data from the RCT. In addition, we undertook more in-depth examinations of validity. First, we examined convergent and discriminate validity by correlating MSRMS scores with scores from the SF-36, MSIS-29, MSWS-12, and EDSS. Second, we examined group differences validity by comparing the mean scores of the MSRMS subscales in groups defined by patients' responses to the global question ("Overall, how would you rate the quality of care you received for your relapse?)". Finally, we compared the psychometric properties of the MSRMS in the two independent samples (Stage 2 and Stage 3) to enable us to comment on the stability of the instrument.
Stage 1: Conceptual model formation and item generation
Characteristics of the three samples
Years since diagnosis
Relapse severity 1
Degree or equivalent
Stage 2: Item reduction and development of scales
A total of 379 questionnaires were posted and 296 people responded. Of these, 136 people responded by saying they had not had a relapse in the last 2 years. Thus 243 people (379 minus 136) were eligible to participate. 160 people returned completed questionnaires, which equals to 66% (160/243) response rate (Table 2).
Item analysis and scale development
A total of 112 items from the original item pool was deleted. The reasons for deletion included: items did not meet the initial psychometric criteria (51 items), items did not load on the first unrotated factor (18 items), items did not load or cross-load on two or more factors (43 items) (Table 1). The remaining 42 items were grouped into four subscales rather than the eight domains of the preliminary conceptual model. One domain (involvement of family and friends) was removed because its items were not relevant for people who were isolated, or whose family and friends were not closely involved in their care experiences. Two domains (attitude of health care professionals; interpersonal care) were combined to form a single domain (interpersonal care) because they formed a more clinical and statistical cohesive set together rather than existing as separate scales. For the same reasons, three domains (physical comfort, technical aspects of care, coordination of care) were combined to form a single domain (coordination of care). This iterative process resulted in a 42-item scale (MS Relapse Management Scale, MSRMS), which measures four aspects of patients' experiences of relapse management: Access to Care (6 items), Coordination of Care (11 items), Information (7 items), and Interpersonal Care (18 items) (see Additional File 1 for Copy of the MSRMS and see Additional File 2 for Scoring methods for the MSRMS).
Preliminary psychometric analyses of MSRMS: postal survey sample
For all four MSRMS subscales, the vast majority of psychometric tests were satisfied supporting their reliability and validity. Full details are available from the authors. However, in brief, data quality was high (there were few missing data) implying that the scales can be completed successfully, and that the items are relevant, and not confusing or upsetting to people. Tests of scaling assumptions were satisfied, implying that the items in each subscale can be summed to produce a single subscale score. Subscale scores were well targeted to the sample indicating that this was an adequate sample of people with MS in which to examine the measurement properties of the MSRMS. All indicators of reliability exceeded recommended criteria, indicating that the total scores for each subscale were reliable estimates. The pattern and magnitude of correlations between the four MSRMS subscales and other rating scales (MSIS-29, MSWS-12, SF-36, EDSS), and MSRMS correlations with age and disease duration were consistent with a priori hypothesis. These findings provide evidence to support the validity of the MSRMS as they imply that the four MSRMS subscales were measuring related but distinct constructs, were unrelated to age and disease duration, and were measuring concepts distinct from those measured by the other rating scales.
Stage 3: Psychometric evaluation of the MSRMS: RCT sample
Data quality, scaling assumptions, acceptability, and reliability of MSRMS
Access to care
Coordination of care
Item missing data %
Computable scale scores %
Item mean scores
Mean score (SD)
Floor/ceiling effect %
MSRMS: intercorrelations3 and correlations with other variables and scales
Access to care
Co-ordination of care
Access to Care
Co-ordination of care
quality of care 4
SF-36 Role Emotional
SF-36 Role Physical
Group differences validity analyses
Groups determined by "quality of care" question 5
MSRMS subscales: mean (sd)
Access to care
Coordination of care
'Good' or 'Very good' (N = 29)
'Excellent' (N = 98)
t (p) 6
7.3 (< 0.001)
4.1 (< 0.001)
5.3 (< 0.001)
Data quality (Table 3)
Item level missing data for all scales was low (max = 3.8%). Total scores could be computed for at least 99% of the sample, suggesting that the scales can be successfully completed by patients.
Scaling assumptions (Table 3)
For all scales, frequency distributions for items were quite symmetrical; items within each scale had similar mean scores and standard deviations implying that they contribute equally to the variance of the total score, and can be summed without weighting. Item-total scale correlations for all scales were satisfactory implying that the items in each scale contain a similar proportion of information concerning the construct being measured, except for one item in the 11-item Coordination of Care scale. These findings support the summing of items to generate subscale score.
Targeting (Table 3)
For all subscales, the scores did not span the entire scale range. None of the patients scored the highest possible score (indicating worse experience) for each of the subscales. All scales had notable floor effects (range 10.8% to 28%) but no ceiling effects. These results imply that most patients reported positive care experiences.
Reliability (Table 3)
All internal consistency estimates exceeded the recommended criteria (> 0.70). This indicates that the total scores for each subscale are reliable estimates. For each scale, the standard error of measurement, an indication of the amount of variation or spread in the measurement error, is relatively low.
Validity (Table 4)
The direction, magnitude and pattern of correlations among the four MSRMS subscales, and between the MSRMS subscales and other scales, were consistent with predictions. This supported the validity (convergent and discriminate construct) of the MSRMS.
More specifically, correlations among the MSRMS subscales (0.33-0.49) were moderate; suggesting they are measuring related but different constructs. Correlations between the four MSRMS subscales and the global quality of care question were low-to-moderate (0.28 - 0.49), suggesting that they are measuring related but different constructs.
As predicted, correlations among the four different aspects of patients experiences (i.e. MSRMS subscales), and correlations between these four experiences and the global indicator of quality of care (i.e. MSRMS with quality of care question), were higher than correlations of the MSRMS subscales with the MSIS-29, MSWS-12, SF-36, EDSS, and age.
Similarly, correlations between the MSRMS subscales and the MS-specific scales (MSIS-29 physical and psychological scales; MS Walking scale) were low (< 0.30), indicating that they are measuring different constructs. Low correlations were also found between the MSRMS subscales and the SF-36 scale, and between the MSRMS subscales and the EDSS.
Further evidence for validity (group differences validity) was provided by examining MSRMS scores for groups of people defined by their answer to the question "Overall, how would you rate the quality of care you received for your relapse? 1 = poor, 2 = fair, 3 = good, 4 = very good, 5 = excellent". As only five people answered "poor" or "fair" we compared mean MSRMS scores for those reported whose care was good/very good with those who reported it to be excellent. Table 5 shows that the MSRMS subscales demonstrated a decrease in mean scores (indicating better experiences, significantly so for three subscales) associated with better evaluation of care as indicated by the 5-point scale.
Stability of MSRMS across samples
These results, from an independent sample of people, supported those from the preliminary psychometric analysis of the MSRMS providing further evidence to supporting its psychometric adequacy. However, there were notable differences in score distributions (range, means, floor effects) across the two samples (postal survey and RCT). The postal survey sample had better score distributions that met the psychometric criteria. The score distributions of the RCT sample were more skewed towards the better end of the scale, with patients reporting better experiences of care.
We have described the development of an outcome measure for quantifying patients' experiences of treatment for MS relapses, to be used as the primary outcome measure in a randomised controlled trial of service delivery . Importantly, the MSRMS satisfies current health service aspirations towards a patient led service . It is a patient reported measure, which enables relapse management to be evaluated from their perspective. In addition, patients themselves determined the domains of the MSRMS, therefore allowing them to define how services are evaluated.
The MSRMS satisfied most published criteria for robust measurement, with its psychometric performance being reasonably constant across two independent samples. However, scores in the postal survey sample were better distributed than in the RCT sample. There could be a number of reasons for this, including differences in the characteristics of the sample. The RCT sample included more people who received steroids at home, who may have reported better experiences of relapse management , due to a number of reasons, for example, the RCT sample may have known that outcomes were being assessed, whereas the postal survey sample received standard NHS care, which may have been more variable.
All four MRMS subscales had notable floor effects in the RCT sample indicating that the minimum possible score was commonly seen. From a clinical perspective, this finding might be taken to imply that many people considered that their relapse management could not have been better. This could, of course, be due to a number of reasons, for example, patients may not have wished to be critical about a service on which they rely, or they may have a positive rapport with the care team that make them forgive any deficiencies. Also from a conceptual perspective, it seems unlikely that care for these people could not have improved, even though floor effects and skewed positive responses are common in surveys that elicit patients' views of their health care . Alternatively the floor effects could represent limitations in the measurement range covered by our scale. A qualitative evaluation of people at the floor end of the scale should help to determine whether their experiences could be improved, and will provide an evidence base for future development of the MSRMS.
The fact that we removed almost 70% of items from the preliminary scale may suggest that important information regarding patients' views on relapse management may have been discarded. However, the aim of the item generation stage was to be as inclusive of a wide range of patients' views as possible (inpatient, outpatient and home). Our over-inclusiveness at the item generation stage led to the inclusion of items that were not applicable across the different modes of treatment. Consequently, these items went on to fail the psychometric criteria, and hence were removed.
Results from this study improve our understanding of patients' experiences of relapse management. First, the process of scale development has defined four key domains for intervention and measurement (access to care, interpersonal care, information, coordination of care). This provides a clinical framework for evidence-based patient-focused relapse management. Second, the scale gives clinicians a robust mechanism for measuring the outcomes of relapse management. Of note, 75% of patients endorsed "excellent" on the single item question of quality of care, supporting the concern that simple patient satisfaction scores and global indicators of quality, may present limited and optimistic pictures , unlikely to be sufficient to provide the evidence base to evaluate and improve complex service delivery .
This study has some limitations. First, the sample sizes were relatively small, compared to other scale development studies. Second, although the interview sample included patients from two hospital sites, the postal survey and the trial sample were recruited from one hospital setting. Further psychometric evaluation of the scale is needed in a larger diverse sample of patients across a number of hospital sites. Cognitive interview techniques  could also be used to identify whether any other issues of importance regarding MS relapse management could be added. It is also important to evaluate the measure using other psychometric paradigms, for example Rasch analysis or item response theory [28, 29]. Additional items could also be generated that could discriminate amongst those who rate the care as excellent. Rasch analysis in particular can aid the selection of these additional items. Rasch analysis can also further assess the unidimensionality of the scales. Finally, although patients' perceptions of care delivery are crucial, it is important that correlations with an objective measure of the quality of medical care are established before any public policy decisions can be made.
In conclusion, we have developed a measure of patients' experiences of treatment for MS relapses. It has robust psychometric properties, and could be extended to compare patients' experiences of relapse management across other treatments and locations (e.g. GP surgeries).
The MSRMS is a reliable and valid measure of patients' experiences of MS relapse management. Results demonstrate that patients' experiences of relapse management can be measured. The MSRMS is a powerful tool for determining which services to develop, support and ultimately commission.
I considered my most recent relapse to be: Mild, Moderate or Severe
Standard error of measurement (SEM) = SD × √(1- alpha)
Pearson's product-moment correlations
Overall, how would you rate the quality of care you received for your relapse? 1 = poor, 2 = fair, 3 = good, 4 = very good, 5 = excellent
Overall, how would you rate the quality of care you received for your relapse? 1 = poor, 2 = fair, 3 = good, 4 = very good, 5 = excellent
Independent samples t-test
We thank R Holliday and S Jain for assistance with the postal survey, A Lawrence, C Hill and T Lane for assistance with data entry, and the multiple sclerosis nursing team: F Matheson, E Harrison, E Keenan. During part of this study Jeremy Hobart was on a research secondment to the School of Education, Murdoch University, Perth Western Australia (Prof David Andrich). This research attachment was supported by the Royal Society of Medicine, through an Ellison-Cliffe Travelling Fellowship and the MS Society of Great Britain and Northern Ireland.
- Runnmarker B, Andersen O: Prognostic factors in a multiple sclerosis incidence cohort with twenty-five years of follow-up. Brain 1993, 116: 117–134. 10.1093/brain/116.1.117View ArticleGoogle Scholar
- Barnes D, Hughes RAC, Morris RW, Wade-Jones O, Brown P, Britton T, Francis DA, Perkin GD, Rudge P, Swash M, Katifi H, Farmer S, Frankel J: Randomised trial of oral and intravenous methhylprednisolone in acute relapses of multiple sclerosis. Lancet 1997, 349: 902–6. 10.1016/S0140-6736(96)06453-7PubMedView ArticleGoogle Scholar
- Lublin FD, Baier M, Cutter G: Effect of relapses on development of residual deficit in multiple sclerosis. Neurology 2003,61(11):1528–32.PubMedView ArticleGoogle Scholar
- Sellebjerg F, Barnes D, Filippini G, Midgard R, Montalban X, Rieckmann P, Selmaj K, Visser LH, Sorensen PS, EFNS Task Force on Treatment of Multiple Sclerosis Relapses: EFNS guideline on treatment of multiple sclerosis relapses: report of an EFNS task force on treatment of multiple sclerosis relapses. Eur J Neurol 2005,12(12):939–46. 10.1111/j.1468-1331.2005.01352.xPubMedView ArticleGoogle Scholar
- Borras JM, Sanchez-Hernandez A, Navarro M, Martinez M, Mendez E, Ponton JL, Espinas JA, Germa JR: Compliance, satisfaction, and quality of life of patients with colorectal cancer receiving home chemotherapy or outpatient treatment: a randomised controlled trial. BMJ 2001, 322: 826–28. 10.1136/bmj.322.7290.826PubMed CentralPubMedView ArticleGoogle Scholar
- Richards DA, Toop LJ, Epton MJ, McGeoch GR, Town GI, Wynn-Thomas SM, Dawson RD, Hlavac MC, Werno AM, Abernethey PD: Home management of mild to moderately severe community-acquired pneumonia: a randomised controlled trial. Med J Aust 2005, 183: 235–38.PubMedGoogle Scholar
- Corwin P, Toop LJ, McGeoch G, Than M, Wynn-Thomas S, Wells E, Dawson R, Abernethey P, Pithie A, Chambers S, Fletcher L, Richards D: Randomised controlled trial of intravenous antibiotic treatment for cellulites at home compared with hospital. BMJ 2005, 330: 129–32. 10.1136/bmj.38309.447975.EBPubMed CentralPubMedView ArticleGoogle Scholar
- Fitzpatrick R, Hopkins A: Problems in the conceptual framework of patient satisfaction research: and empirical exploration. Sociol Health Illness 1983, 5: 297–311. 10.1111/1467-9566.ep10491836View ArticleGoogle Scholar
- Kuckartz U: WINMAX pro '96 - Scientific Text Analysis. Berlin: Sage Publications; 1996.Google Scholar
- Hobart JC, Lamping D, Fitzpatrick R, Riazi A, Thompson A: The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure. Brain 2001, 124: 962–973. 10.1093/brain/124.5.962PubMedView 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: 31–6.PubMedView ArticleGoogle Scholar
- Nunnally JC, Bernstein IH: Psychometric Theory. 3rd edition. New York: McGraw-Hill; 1994.Google Scholar
- Hobart JC, Freeman J, Lamping D, Fitzpatrick R, Thompson A: The SF-36 in multiple sclerosis: why basic assumptions must be tested. J Neurol Neurosurg Psychiatry 2001, 71: 363–70. 10.1136/jnnp.71.3.363PubMed CentralPubMedView ArticleGoogle Scholar
- Likert RA: A technique for the development of attitudes. Arch Psychol 1932, 140: 5–55.Google Scholar
- Stewart AL, Ware JE Jr, eds: Measuring functioning and well-being: the medical outcomes study approach. Durham (NC): Duke University Press; 1992.Google Scholar
- Eisen M, Ware JE Jr, Donald CA, Brooke RH: Measuring components of children's health status. Medical Care 1979, 17: 902–21. 10.1097/00005650-197909000-00003PubMedView ArticleGoogle Scholar
- McHorney CA, Tarlov AR: Individual-patient monitoring in clinical practice: are available health surveys adequate? Quality of Life Reseasrch 1995, 4: 293–307. 10.1007/BF01593882View ArticleGoogle Scholar
- Aaronson N, Alonso J, Burnam A, Lohr KN, Patrick DL, Perrin E, Stein REK: Assessing health status and quality-of-life instruments: Attributes and review criteria. Quality of Life Research 2002, 11: 193–205. 10.1023/A:1015291021312PubMedView ArticleGoogle Scholar
- Ware JE Jr, Snow KK, Kosinski M, Gandek B: SF-36 Health Survey manual and interpretation guide. Boston, Massachusetts: Nimrod Press; 1993.Google Scholar
- Chataway J, Porter B, Riazi A, Heaney D, Watt H, Hobart JC, Thompson AJT: Home versus outpatient administration of intravenous steroids for multiple sclerosis relapses: a randomised controlled trial. Lancet Neurology 2006, 5: 565–71. 10.1016/S1474-4422(06)70450-1PubMedView ArticleGoogle Scholar
- Kurtzke JF: Rating neurological impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983, 33: 1444–52.PubMedView ArticleGoogle Scholar
- Jenkinson C, Coulter A, Bruster S: The Picker Patient Experience Questionnaire: development and validation using data from in-patient surveys in five countries. International Journal for Quality in Health Care 2002,14(5):353–358. 10.1093/intqhc/14.5.353PubMedView ArticleGoogle Scholar
- Department of Health: Creating a patient-led NHS: delivering the NHS improvement plan. London: DoH; 2005.Google Scholar
- Ware JE, Hays RD: Methods for measuring patient satisfaction with specific medical encounters. Med Care 1988, 26: 393–401. 10.1097/00005650-198804000-00008PubMedView ArticleGoogle Scholar
- Jenkinson C, Coulter A, Bruster S, Richards N, Chandola T: Patient experiences and satisfaction with health care: results of a questionnaire study of specific aspects of care. Quality and Safety in Health Care 2002, 11: 335–339. 10.1136/qhc.11.4.335PubMed CentralPubMedView ArticleGoogle Scholar
- Department of Health: Your health, Your Care, Your Say. London: DoH; 2005.Google Scholar
- Waksberg J: What is a Survey? How to Conduct Pretesting. Alexandria, VA: American Statistical Association; 1995.Google Scholar
- Rasch G: Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago Press; 1960.Google Scholar
- Lord FM, Novick MR: Statistical theories of mental test scores. Reading (MA): Addison-Wesley; 1968.Google Scholar
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