Open Access

Translation, cultural adaptation and validation of the English “Short form SF 12v2” into Bengali in rheumatoid arthritis patients

  • Nazrul Islam1, 2Email author,
  • Ikramul Hasan Khan2,
  • Nira Ferdous2 and
  • Johannes J. Rasker3
Health and Quality of Life Outcomes201715:109

https://doi.org/10.1186/s12955-017-0683-z

Received: 5 October 2016

Accepted: 12 May 2017

Published: 22 May 2017

Abstract

Background

To develop a culturally adapted and validated Bengali Short Form SF 12v2 among Rheumatoid arthritis (RA) patients.

Methods

The English SF 12v2 was translated, adapted and back translated into and from Bengali, pre-tested by 60 patients. The Bengali SF 12v2 was administered twice with 14 days interval to 130 Bangladeshi RA patients. The psychometric properties of the Bengali SF 12v2 were assessed. Test-retest reliability was assessed by intra-class correlation coefficient (ICC) and Spearman’s rank correlation coefficient and internal consistency by Cronbach’s alpha. Content validity was assessed by index for content validity (ICV) and floor and ceiling effects. To determine convergent and discriminant validity a Bengali Health Assessment Questionnaire (B-HAQ) was used. Factor analysis was done.

Results

The Bengali SF 12v2 was well accepted by the patients in the pre-test and showed good reliability. Internal consistency for both physical and mental component was satisfactory; Cronbach’s alpha was 0.9. ICC exceeded 0.9 in all domains. Spearman’s rho for all domains exceeded 0.8. The physical health component of Bengali SF 12v2 had convergent validity to the B-HAQ. Its mental health component had discriminant validity to the B-HAQ. The ICV of content validity was 1 for all items. Factor analysis revealed two factors a physical and a mental component.

Conclusions

The interviewer-administered Bengali SF 12v2 appears to be an acceptable, reliable, and valid instrument for measuring health-related quality of life in Bengali speaking RA patients. Further evaluation in the general population and in different medical conditions should be done.

Keywords

Short formSF 12v2BangladeshBengaliCross-cultural adaptationHealth-related quality of life

What are new?

_ The Short Form-12v2 (SF12v2) was translated and validated for use in Bengali patients with rheumatoid arthritis.

_ The Bengali SF12v2 administered by interviewers demonstrated psychometric properties similar to the original US English version and translations in other languages.

_ The questionnaire should be evaluated and used in people from the general population and in patients with different medical conditions to assess and compare the health status and impact of different disorders in Bangladeshi patients.

_With about 178 million in Bangladesh and about 261.5 million total speakers worldwide, Bengali it is the sixth most spoken language in the world, so it is important that this questionnaire is now available for studies in this part of the world.

Background

Measurement of health related quality of life (HRQoL) is increasingly being used in clinical trials and health services research [1, 2]; measuring health related quality is particularly important for measuring the impact of chronic diseases [3]. These HRQoL questionnaires can be divided into generic and specific measures [4, 5]. Generic measures are not specific for any disease or population, and such measures can be used across various diseases. Specific instruments are specific for a disease, a population of patients, ascertain functions, or for a problem [6, 7]. Major advantages of generic instruments include their ability to assess a variety of health domains and to compare HRQoL across different populations, regardless of underlying conditions. Among the generic measures, the Medical outcome study 36-item Short form (SF 36) Health survey developed by Ware and Sherburne [8] in the United States is the most widely used [912] and has been validated in many countries, including Bangladesh [1319]. After more than 10 years of experience with the SF 36 it is reported that it is lengthy, and that some participants may have problems to understand the questions. Then the SF 12v1 was developed which utilizes only 12 items drawn from each of the eight subscales of the SF 36 and having the same performance. It was validated for example in nine European countries (Denmark, France, Germany, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom) in Iran and Morocco in the general population [2023]. More recently, the SF 12v2 has been described which makes some questions easier than SF 12v1. The performance of SF 12v2 has been reported to be comparable to that of SF 36 while having the advantage of being easier and quicker to complete [24]. The SF 12v2 has already been translated and evaluated in many countries [2427]. Numerous investigators and health care delivery organizations have adopted the SF 12v2, including the National Commission on Quality Assurance (NCQA), which chooses the SF 12v2 for its Annual Member Health Care Survey, and also the Pacific Business Group on Health, which will be one of the first to use it in monitoring outcomes [28]. Questionnaires are the most commonly used techniques for collecting health related information in clinical studies as these are inexpensive, easy and simple to apply and may be used to measure large numbers of health outcomes. There are about 261.5 million Bengali speaking people all around the world and it is the sixth (6th) language according to population [29]. Both at present as well as in the future, there is a need for a valid, reliable and reproducible instrument to compare results and experiences of various therapeutic interventions in such a large population, with different centers. Though the Bengali version of the SF 36 is available [19] still no cultural adaptation and validation of the SF 12v2 has been done in Bengali.

Rheumatoid arthritis (RA) is a chronic disabling condition; the functional and the social impact of this disease is enormous. RA can interfere with a person’s ability to function at home, in their job and social situation [30]. Assessment of health status in patients with RA using structured questionnaires has become an important approach to evaluate the treatment and outcome. The Health Assessment Questionnaire (HAQ) has been widely used but highlights the physical problems only [31] whereas the SF 12v2 assesses the physical as well as the mental component of health. Bangla is the language native to the region of Bengal, which comprises the present-day nation of Bangladesh and of the states West Bengal, Tripura in India and southern Assam. It is written using the Bengali alphabet. Bengali is the national language in Bangladesh and second most spoken language in India. With about 178 million native and a total of about 261.5 million speakers worldwide, it is the sixth most spoken language in the world, so it is important to make this questionnaire available for studies in this part of the world.

Methods

Original questionnaire

The original SF 12v2 questionnaire contains 12 questions or items. The items are grouped into eight domains measuring physical functioning (PF), role physical (RP, physical health problems), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), role emotional (RE, emotional problems) and mental health (MH). Higher scores represent better health status [26].

Translation, cross-cultural adaptation and validation of SF 12 into Bengali

The “forward backward” procedure of Beaton et al. was applied to translate the SF 12v2 questionnaire [27]. It was carried out in five stages. Two translators whose mother tongue is Bengali have done the forward translation. One of the translators was made aware of the concepts being examined in the questionnaire and the other translator was neither made aware nor informed of these concepts. A synthesized Bengali version was produced which was then back translated into English by two professional translators. Both of them were totally blind of the original version and these two translators without medical background were neither aware nor informed of the concepts being explored in order to avoid information bias and to elicit unexpected meaning of the items in the translated questionnaire.

The expert committee comprised methodologists, health professionals, language professionals, rheumatologists and the translators (forward and back translators). They reviewed and compared all the translations with the original SF 12v2 questionnaire and verified the semantic, idiomatic, experiential and conceptual equivalence between the English and the Bengali version. Consensus was reached on the items and when necessary the translation and back-translation process was repeated to clarify how another wording of an item can work.

The translation was straightforward for most of the items and response choices except moderate activities, such as moving a table, pushing a vacuum cleaner, bowling or playing golf where the committee added “pushing and or lifting a medium size bucket filled with water as our people do not usually use a vacuum cleaner for dust cleaning.

Field-testing

The preliminary Bengali version of the SF 12v2 questionnaire was field tested in a random sample of 60 adult RA patients who were enrolled from the outpatient department of Rheumatology of BSMMU. The questionnaire was administered by the investigator in Bengali to each subject who was interviewed. To make sure he would obtain an accurate answer from the respondent the investigator asked what he or she thought was meant by each question item and the chosen response and he or she was encouraged to elucidate his or her understanding of the items and response choice in an open ended manner. This ensured that items and response choice was understood as having a meaning equivalent to that of the source version [28]. The meaning of items was explored. On the basis of this probing the pre final Bengali version was developed in consultation with the expert committee. For example; in question 6 b we put two alternatives “Uddomi or Kormoshakti sampanno” for the word “lot of energy” and used an example for the “emotional problem” in question 7 like “Bishonno or Dushchintagrosto” in for better understanding of people living in different area.

Psychometric evaluation of the Bengali SF 12v2

Patients and data collection

A new sample of 130 RA patients was selected. The sample size for this study is determined based on the parameter, the test–retest repeatability. This is measured by the intraclass correlation (r). We expect SF 12v2 to have an r of 0.8 in this study, and an r of 0.7 or higher would be acceptable to us. Thus, we defined H0: ρ0 = 0.7 and H1: ρ1 = 0.8. Using a two sided test as suggested by Walter et al. [28] with β = 0.2 (80% power) and α = 0.05, a sample size of 117 evaluable subjects would be required. Assuming 10% of subjects might refuse to repeat the SF 12v2, a total of 130 subjects would have to be enrolled.

The sample was taken by consecutively inviting RA patients attending the Rheumatology OPD. All patients were adults with RA, > 18 years of age and fulfilling the ACR criteria for RA and were able to understand and co-operate the study procedure. Any patient having a history of co-existing major illness making participation impossible or, psychological illness {considered as exclusion criterion, this group of patients may not communicate well and provided information might produce bias} or unwilling to provide verbal informed consent was excluded from the study. The classification criteria of RA as well as the disease activity in each subject were assessed by a physician informed written consent was taken in front of an attendant. The patients were interviewed by administrating the Bengali SF 12v2 questionnaire. The patients were also asked to indicate whether he or she understood each question, found difficult to answer, thought it irrelevant to him or her, minded answering the question and responses were recorded on the questionnaire. A Bengali version of the Health Assessment Questionnaire B-HAQ was administered separately to each patient and the responses was recorded on the questionnaire.

Test –retest reliability

Samples of 130 patents were asked to come again after 14 days and were interviewed for the second time. During this interval of 14 days no new intervention was given.

Scoring of the SF 12v2 questionnaire

The SF 12v2 scales were scored using Likert’s method of summated ratings [29]. This method has been widely used in scale construction because of its simplicity and success in yielding scores. In this method a score for each question item is derived from the algebraic sum of the item score. Score for some of the items needed to be recoded so that all items are scored in the same direction [8]. Raw scores were summated and linearly transformed into 0–100 scale, with 100 indicating the best level, 0 the worst and scores in between representing the percentage of total possible score achieved.

Statistical analysis

The responses to the Bengali version of SF 12v2 questionnaire were subjected to recommended tests for reliability and validity. The reliability of each scale was assessed through internal consistency. Internal consistency is the extent to which items within a scale (or dimension) are correlated with each other. It was examined by Cronbach’s alpha co-efficient and item scale correlation. Cronbach’s alpha co-efficient is a widely used method which measures the overall correlation between items within a scale. The reliability is considered acceptable when alpha is equal to or exceeds 0.7. Item scale correlation which assesses the extent to which an item is related to the other items of its scale should exceed 0.4. The Reliability was also assessed by the test-retest method. In the retest method the same Bengali version of SF 12v2 questionnaire was given to a sample of patients after 2 weeks and the correlation between the scores on the test and retest were using Spearman correlation co-efficient. The content validity was assessed by the index of content validity (ICV) and assessing floor and ceiling effects by descriptive measures; the floor effect (percentage of patients who scored at floor level – equivalent to the 10% worst results on the scale); and the ceiling effect (percentage of patients who scored at the ceiling level – that corresponded to 10% best results on the scale). The ICV was assessed by three experts: two rheumatologists, one Internist, each expert rated each item as either 1 (agreed), 0 (undetermined), or -1 (disagreed). The ICV of each item was calculated using the summation of scores from each expert divided by the number of experts. Convergent validity was assessed by demonstrating strong correlation between the physical component of the SF12v2 and the Bengali version of the Health Assessment Questionnaire (B-HAQ). Divergent validity was assessed by demonstrating weak correlations between the mental component of the SF12v2 and the B-HAQ.

Results

Sociodemographic data

A total of hundred and thirty Bengali speaking RA patients agreed to participate in this study after explanation of the nature of the study. One hundred and nineteen subjects completed the 2nd visit. There were 92 (77%) female and 27 (22.7%) male patients. The mean age of the participants were 36.43 (SD 9.47) with age range from 18 to 60 years. Seventy five (63%) participants were RA factor positive. The mean disease duration of the participants was 6.42 (SD 5.84) years which ranged from 6 months to 15 years.

Acceptability

All the 130 participants answered all the questions of Bengali version of the SF 12v2. There were no patients who did not understand the questions. Very few patients had difficulty in understanding some items: MH 5 (3.84%) and VT 11(8.46%). Some patients 8 (6.15%) said that social functioning is not relevant to them (Table 1). The main reason given was they had very few social activities. Nobody minded answering the questions.
Table 1

Number (%) of the patents who had problems in Bengali SF 12v2

Domain

Do not understand

Difficult to understand

Not relevant

Mind answering

General health

0

0

0

0

Physical functioning

0

0

0

0

Role-physical

0

0

0

0

Role emotional

0

0

0

0

Bodily pain

0

0

0

0

Mental health

0

5 (3.84%)

0

0

Vitality

0

11(8.46%)

0

0

Social functioning

0

0

8 (6.15%)

0

Response distribution

All values were observed for each domain. The RA patients showed restriction in their physical health in all domains (GH, PF, RP and BP). The items within these domains scored at lower levels on 0–100 scale. Mental health domains (RE, MH, VT and SF) were scored at higher levels. Among the Mental health domains SF were scored (72.9) at a highest level, a reflection of maintenance of social life with disease.

Distribution of the SF 12v2 scores

The mean domain scores ranged from 26.6 (GH) to 72.90 (SF). The RE, MH, VT and SF domains were slightly skewed to the left whereas the GH, PF, RP and BP slightly skewed to the right. The percentage of patients scoring at the lowest level was pronounced in GH (20.2%), RE (21.8%) and BP (27.7%). A ceiling effect was seen for PF (32.8%) and SF (40.3%) (Table 2).
Table 2

Descriptive statistics of the Bengali SF 12v2 scores

Domain

Range

Mean

SD

Skew ness

Floor effecta (%)

Ceiling effectb (%)

GH

0–75

26.26

17.78

0.36

20.2

2.5

PF

0–100

41.70

36.87

0.34

20

32.8

RP

0–100

43.95

27.93

0.40

10.1

7.6

RE

25–100

62.18

26.21

-0.06

21.8

17.6

BP

0–100

43.70

35.09

0.12

27.7

12.6

MH

0–100

57.04

27.50

-0.14

2.5

7.6

VT

0–100

55.67

31.80

-0.24

10.1

16.8

SF

0–100

72.90

29.93

-0.98

5

40.3

SD standard deviation, GH general health, PF physical functioning, RP role-physical, RE role emotional, BP bodily pain, MH mental health, VT vitality, SF social functioning

aPercentage of respondents with worst possible score

bPercentage of respondents with best possible score

Reliability

Internal consistency: was assessed using Cronbach’s alpha. The results showed that the alpha exceeded the 0.70 for both summary measures level. The alpha for physical component summary (PCS) was 0.906 and mental component summary (MCS) was 0.908 (Table 3).
Table 3

Reliability of Bengali SF 12v2 (n = 119)

SF 12v2 summery

Domain

Test retest reliability

Cronbach’s alpha

Spearman’s correlation

ICC

95% CI

PCS

General health

1

0.992

(.989, .994)

 

Physical functioning

0.999

0.996

(.994, .997)

 

Role-physical

   

0.906

Bodily pain

0.993

0.991

(.988, .994)

 

Role-emotional

0.995

0.994

(.991, .996)

 

MCS

Mental health

    

Vitality

0.995

0.995

(.993, .997)

 

Social functioning

0.997

0.998

(.998, .999)

0.908

 

0.997

0.997

(.996, .998)

 
 

0.992

0.994

(.992, .996)

 

Note: PCS physical component summery, MCS mental component summary, ICC intraclass correlation coefficient

Test- retest reliability: was done in 119 patients. Spearman’s rank correlation coefficient for the result of the test and retest in all domains was above 0.9. It ranged from 0.992 to 0.999. For GH it was highest 1 (Table 3).

The intraclass correlation coefficient (ICC) for all domains was above 0.8. The highest was 0.998 for MH and the lowest was 0.991 for RP (Table 3).

Validity

Content validity

The ICV (index for content validity) was 1 for all items in the domains. The Bengali version of SF 12v2 had acceptable ceiling effect in all domains except PF (32.8%) and SF (40.3%). Floor effects were also acceptable except RE (21.7%) and BP (27.7%).

Construct validity

Factor analysis

By principal component analysis two underlying factors were identified, one representing the “physical” aspect of health and one representing the “mental” aspect of health which together explained 80% of the total variance. As presented in the Table 4 the physical domains (GH, PF, RP, and BP) had higher correlations (range 0.80 to 0.84) with the physical component then with the mental component (range 0.10 to 0.42). The mental domain (RE, MH, VT and SF) showed the opposite pattern; range of correlation with the physical component (0.12 to 0.51) and range of correlation with mental component (0.78 to 0.88) (Table 4).
Table 4

Factor analysis for the factors of Bengali SF 12v2

Domain

Component

1 (Physical)

2 (Mental)

General health

0.84541

0.106328

Physical functioning

0.827674

0.287226

Role-physical

0.809868

0.422559

Role emotional

0.125812

0.84526

Bodily pain

0.800717

0.424837

Mental health

0.30602

0.886262

Vitality

0.511844

0.784211

Social functioning

0.295419

0.792428

Internal construct validity

The correlation between the domains ranged from 0.28 (between GH and SF) to 0.65 (between GH and BP), well below the preset 0.70 level of distinctiveness of the concept being measured. All the domains had higher correlations with themselves. Stated in another way, the inter domain correlations were less than that of the internal domain correlation, showing that each domain measured a unique concept to other domains. Generally higher correlations were found between the domains of the same dimension (physical or mental) and lower correlations were found between different dimensions (Table 5).
Table 5

Spearman’s correlations between the domains of Bengali SF 12v2

Correlation between domains

Scales

General health

Physical functioning

Role physical

Role emotional

Bodily pain

Mental health

Vitality

Social functioning

General health

1

       

Physical functioning

0.60

1

      

Role-physical

0.64

0.77

1

     

Role emotional

0.29

0.38

0.5

1

    

Bodily pain

0.65

0.68

0.86

0.38

1

   

Mental health

0.43

0.49

0.54

0.74

0.6

1

  

Vitality

0.54

0.6

0.68

0.64

0.78

0.9

1

 

Social functioning

0.28

0.49

0.64

0.57

0.6

0.70

0.71

1

Convergent and discriminant validity

Scores for the SF 12v2 and B-HAQ had shown acceptable convergent and discriminant validity. Strong correlations were found between the domains of physical concept of SF 12v2 and B-HAQ. The highest correlation was found between the B-HAQ and SF 12v2 (PF) -0.82 and the lowest correlation found between B-HAQ and SF 12v2 (RE) -0.35 (Table 6).
Table 6

Convergent and discriminant validity of Bengali SF 12v2

 

B.HAQ

General health

Physical functioning

Role physical

Role emotional

Bodily pain

Mental health

Vitality

Social functioning

B.HAQ

1

        

GH

-0.717

1

       

PF

-0.813

0.601

1

      

RP

-0.821

0.643

0.771

1

     

RE

-0.356

0.293

0.378

0.502

1

    

BP

-0.801

0.646

0.681

0.863

0.376

1

   

MH

-0.509

0.426

0.49

0.538

0.741

0.601

1

  

VT

-0.669

0.544

0.602

0.677

0.636

0.783

0.904

1

 

SF

-0.484

0.277

0.49

0.641

0.568

0.6

0.703

0.71

1

B.HAQ Bengali Health Assessment Questionnaire, GH general health, PF physical functioning, RP role-physical, RE role emotional, BP bodily pain, MH mental health, VT vitality, SF social functioning

Discussion

In this study, the Bengali version of SF 12v2 demonstrated acceptable psychometric properties in terms of reliability and validity in Bengali speaking adult RA patients. Thus the SF 12v2 appears to be a reliable and valid measure of HRQoL in RA patients in this socio-cultural context. The SF12v2 was validated in other countries [724] and this is the first study validating the SF 12v2 in Bangladesh. Even though the guidelines for translation were carefully structured and followed, compliance with them did not ensure that the translation was adequate in every aspect, which may be due to the magnitude of linguistic and cultural differences between Bangladesh and the United States. However all the modified questions were understood by all the respondents and these questions were adapted in the prefinal version of Bengali SF 12v2. We found the following tactics as used by other previous researchers [31] to be crucial in minimizing linguistic and cultural difficulties and in overcoming those that did arise.
  1. i)

    The translators were asked to provide all reasonable options before the group meeting. This encouraged them to think thoroughly about problematic questions items and response choice, which resulted in material for productive discussion and eventually consensus, during the group meeting.

     
  2. ii)

    The concepts expressed by all problematic expressions and words in the English version were discussed thoroughly. This was particularly important because if a translator misunderstood a concept, the result was often an overly literal Bengali translation.

     
  3. iii)

    A survey in the pilot study was useful for testing minor revisions, and the suggestions of experts in languages were helpful when question items and response choice were found to be unacceptable despite consensus of the translation team.

     
  4. iv)

    Expert committee discussion: Discussion in the expert committee meeting provided valuable guiding when our review of the pilot study indicated that the preliminary Bengali version of SF 12v2 had some problems. Expert group discussions were used to identify the problems and to a develop solution, that is a better translation. Thus, the procedure of translation, back translation, field testing and adaptation included frequent evaluation.

     

Overall, the questionnaire’s performance, regarding convergent and discriminant validity was found to be very encouraging. The correlation between domains indicates that the eight domains are internally consistent. The high success rate on the test of discriminant validity indicates that each of the eight domains can be used to measure different aspect of health status. The principal component analysis revealed two components that support the existence of the two hypothesized dimensions underlying the SF 12v2, the physical and mental health component. Taken together the two factors explained 80% of the total variance. The correlations pattern between SF 12v2 scales and the rotated components revealed the higher correlation of physical domains (Physical functioning, Role physical, Bodily pain, General health) with the first factor. The Mental health domains correlate weakly with this factor. In accordance with the observed pattern, the first factor was labeled as physical health and the second as mental health as hypothesized in the original English version of SF 12v2.

This study also provided empirical evidence for the reliability of the Bengali SF 12v2. The reliability of all domains was well above the 0.70 standard for group comparison. The internal consistency of the Bengali SF 12v2 was shown by Cronbach’s alpha of >0.9 to be similar to that reported in other studies where alpha ranges from 0.78 to 0.95. The test retest reliability of the Bengali SF 12v2 was comparable with previous reports in Korean and Iran where correlation ranged from 0.87 to 0.99 [24, 32]. The Bengali version of SF 12v2 had shown consistency and feasibility when served in RA patients in this series. The validated Bengali SF 12v2 is incorporated in this article as an Additional file 1 for wider use of this questionnaire by Bengali speaking people.

Although, patients found the HAQ easier to complete, the HAQ is limited in providing information on functional health and pain whereas as the SF 12v2 provides a broader picture of health including emotional status role functioning and anxiety and depression.

Validation of a health survey does not end with a single study, but continues with repeated use of an instrument. Future studies of this Bengali version of SF 12v2 should evaluate how well this instrument discriminates among groups differing in diagnosis, disease severity and treatment responses. Its validity in predicting future health and utilization of health services should also be tested. The more frequently an instrument is used in the more situations in which it performs as expected the greater will be our confidence in its validity.

Conclusions

  • The translated and culturally adapted Bengali version of SF 12v2 is an acceptable, reliable and valid instrument that can be administered to Bangladeshi patients with Rheumatoid arthritis for evaluation of their function and disability.

  • The SF 12vs2 is an instrument to measure generic and specific health related quality of life (HRQoL) in a quick and easy way and it is increasingly being used in clinical trials and health services research.

  • We completed the first Bengali version of the questionnaire.

  • The Bengali SF12v2 administered by interviewers demonstrated psychometric properties similar to the original US English version and translations in other languages.

  • With about 178 million in Bangladesh and about 261.5 million total speakers worldwide, Bengali it is the sixth most spoken language in the world, so it is important that this questionnaire is now available for studies in this parts of India and Bangladesh.

  • The questionnaire should be evaluated and used in people from the general population and in patients with different medical conditions to assess and compare the health status and impact of different disorders in Bengali speaking patients.

Abbreviations

B-HAQ: 

Bengali Health Assessment Questionnaire

BMMSU: 

Bangabandhu Sheikh Mujib Medical University

BP: 

Bodily pain

GH: 

General health

HAQ: 

Health Assessment Questionnaire

HRQoL: 

Health related quality of life

ICC: 

Intraclass correlation coefficient

ICV: 

Index for content validity (ICV)

MCS: 

Mental component summary

MH: 

Mental health

NCQA: 

National Commission on Quality Assurance

PCS: 

Physical component summary

PF: 

Physical functioning

RE: 

Role emotional (emotional problems)

RP: 

Role-physical (physical health problems)

SD: 

Standard deviation

SF: 

Social functioning

SF12v2: 

Short form-12 version 2

VT: 

Vitality

Declarations

Acknowledgements

We thank the patients who participated in the study.

Funding

There was no external funding for the research. No funding body played a role in the design of the study and collection, analysis, and interpretation of data or in writing of the manuscript.

Availability of data and materials

The databases, application/tool described in the manuscript are available for testing by reviewers in a way that preserves the reviewers’ anonymity.

We intend to make the Bengali SF-12v2 widely available as a PDF Additional file 1 to the paper so that it has the greatest possible impact.

Authors’ contributions

MNI conceived of the study, and participated in its design and coordination and helped to draft the manuscript. IHK an NF participated in the design of the study and coordination and statistical analysis, JJR participated in the design of the study, statistics and finalizing the manuscript, All authors read and approved the final manuscript.

Authors’ information

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable, the manuscript does not contain any individual persons data.

Ethics approval and consent to participate

The study was approved by the Ethics Committee of the Bangabandhu Sheikh Mujib Medical University Shahbagh, Dhaka, Bangladesh. The study was performed following the Declaration of Helsinki principles and informed consent was given by all participants before enrolment.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Rheumatology, Bangabandhu Sheikh Mujib Medical University
(2)
Modern One stop Arthritis Care and Research Center® (MOAC&RC®)
(3)
Department of Psychology, Faculty of Behavioural Sciences, Health & Technology, University of Twente

References

  1. Bowling A. Measuring disease: a review of disease specific quality of life measurement scales.2nd ed. Buckingham: Open University Press; 2001.Google Scholar
  2. Fayers PM, Machin D. Quality of life: the assessment, analysis and Interpretation of patient-reported outcomes. 2nd ed. Chichester: Wiley; 2007.View ArticleGoogle Scholar
  3. Patrick DL, Erickson P. Health status and health policy: quality of life in health care evaluation and resource allocation. New York: Oxford University Press; 1993.Google Scholar
  4. Guyatt GH. Taxonomy of health status instruments. J Rheumatol. 1995;22:1188–90.PubMedGoogle Scholar
  5. Patrick DL, Deyo RA. Generic and disease-specific measures in assessing health status and quality of life. Med Care. 1989;27(3 Suppl):S217–32.View ArticlePubMedGoogle Scholar
  6. Hagen KB, Smedstad LM, Uhlig T, Kvien TK. The responsiveness of health status measures in patients with rheumatoid arthritis: comparison of disease-specific and generic instruments. J Rheumatol. 1999;26:1474–80.PubMedGoogle Scholar
  7. Veehof MM, ten Klooster PM, Taal E, van Riel PL, van de Laar MA. Comparison of internal and external responsiveness of the generic Medical Outcome Study Short Form-36 (SF-36) with disease-specific measures in rheumatoid arthritis. J Rheumatol. 2008;35:610–7.PubMedGoogle Scholar
  8. Ware Jr JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473–83.View ArticlePubMedGoogle Scholar
  9. Garratt A, Schmidt L, Mackintosh A, Fitzpatrick R. Quality of life measurement: bibliographic study of patient assessed health outcome measures. BMJ. 2002;324:1417.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Kalyoncu U, Dougados M, Daures JP, Gossec L. Reporting of patient-reported outcomes in recent trials in rheumatoid arthritis: a systematic literature review. Ann Rheum Dis. 2009;68:183–90.View ArticlePubMedGoogle Scholar
  11. Polinder S, Haagsma JA, Belt E, Lyons RA, Erasmus V, Lund J, et al. A systematic review of studies measuring health-related quality of life of general injury populations. BMC Public Health. 2010;10:783.View ArticlePubMedPubMed CentralGoogle Scholar
  12. Busija L, Pausenberger E, Haines TP, Haymes S, Buchbinder R, Osborne RH. Adult measures of general health and health-related quality of life: Medical Outcomes Study Short Form 36-Item (SF-36) and short Form 12-Item (SF-12) Health Surveys, Nottingham Health Profile (NHP), Sickness Impact Profile (SIP), Medical Outcomes Study Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), Quality of Well- Being Scale (QWB), and Assessment of Quality of Life (AQOL). Arthritis Care Res. 2011;63:S383–412.View ArticleGoogle Scholar
  13. Birrell FN, Hassell AB, Jones PW, Dawes PT. How does the short form 36 health questionnaire (SF-36) in rheumatoid arthritis (RA) relate to RA outcome measures and SF-36 population values? A cross sectional study. Clin Rheumatol. 2000;19:195–9.View ArticlePubMedGoogle Scholar
  14. Koh ET, Leong KP, Tsou IY, Lim VH, Pong LY, Chong SY, et al. The reliability, validity and sensitivity to change of the Chinese version of SF-36 in oriental patients with rheumatoid arthritis. Rheumatology (Oxford). 2006;45:1023–8.View ArticleGoogle Scholar
  15. Kosinski M, Keller SD, Hatoum HT, Kong SX, Ware Jr JE. The SF-36 Health Survey as a generic outcome measure in clinical trials of patients with osteoarthritis and rheumatoid arthritis: tests of data quality, scaling assumptions and score reliability. Med Care. 1999;37(5 Suppl):MS10–22.PubMedGoogle Scholar
  16. Linde L, Sorensen J, Ostergaard M, Horslev-Petersen K, Hetland ML. Healthrelated quality of life: validity, reliability, and responsiveness of SF-36, 15D, EQ-5D [corrected] RAQoL, and HAQ in patients with rheumatoid arthritis. J Rheumatol. 2008;35:1528–37.PubMedGoogle Scholar
  17. Loge JH, Kaasa S, Hjermstad MJ, Kvien TK. Translation and performance of the Norwegian SF-36 Health Survey in patients with rheumatoid arthritis. I. Data quality, scaling assumptions, reliability, and construct validity. J Clin Epidemiol. 1998;51:1069–76.View ArticlePubMedGoogle Scholar
  18. Ruta DA, Hurst NP, Kind P, Hunter M, Stubbings A. Measuring health status in British patients with rheumatoid arthritis: reliability, validity and responsiveness of the short form 36-item health survey (SF-36). Br J Rheumatol. 1998;37:425–36.View ArticlePubMedGoogle Scholar
  19. Feroz AH, Islam MN, ten Klooster PM, Hasan M, Rasker JJ, Haq S. The Bengali Short Form-36 was acceptable, reliable, and valid in patients with rheumatoid arthritis. J Clin Epidemiol. 2012;65:1227–35.View ArticlePubMedGoogle Scholar
  20. Ware Jr JE, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33.View ArticlePubMedGoogle Scholar
  21. Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, Bullinger M, Kaasa S, Leplege A, Prietor L, Sullivan M. Cross-Validation of Item Selection and Scoring for the SF-12 Health Survey in Nine Countries: Results from the IQOLA Project. J Clin Epidemiol. 1998;51:1171–8.View ArticlePubMedGoogle Scholar
  22. Montazeri A, Vahdaninia M, Mousavi SJ, Omidvari S. The Iranian version of 12-item Short Form Health Survey (SF-12): factor structure, internal consistency and construct validity. BMC Public Health. 2009;9:34.View ArticleGoogle Scholar
  23. Obtel M, El Rhazi K, Elhold S, Benjelloune M, Gnatiuc L, Nejjari C. Crosscultural adaptation of the 12-Item Short-Form survey instrument in a Moroccan representative Survey. S Afr J Epidemiol Infect. 2013;28:166–71.Google Scholar
  24. Montazeri A, Vahdaninia M, Mousavi SJ, Asadi-Lari M, Omidvari S, Tavousi M. The 12-item medical outcomes study short form health survey version 2.0 (SF-12v2): a population-based validation study from Tehran, Iran. Health Qual Life Outcomes. 2011;9:12.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Cheak-Zamora NC, Wyrwich KW, McBride TD. Reliability and validity of the SF-12v2 in the medical expenditure panel survey. Qual Life Res. 2009;18:727–35.View ArticlePubMedGoogle Scholar
  26. Fong DY, Lam CL, Mak K, Lo WS, Lai YK, Ho SY, Lam TH. The Short Form Health Survey was a valid instrument in Chinese adolescents. J Clin Epidemiol. 2010;63:1020–9.View ArticlePubMedGoogle Scholar
  27. Monteagudo Piqueras O, Hernando Arizaleta L, Palomar Rodriguez JA. Reference values of the Spanish version of the SF-12v2 for the diabetic population. Gac Sanit. 2009;23:526–32.View ArticlePubMedGoogle Scholar
  28. Pathway from PRO to NQF-Endorsed PRO-PM - National Quality Forum. 2013. Available at http://www.qualityforum.org/WorkArea/linkit. Last accessed Nov 2013.
  29. Summary by Language Size. 2014. Ethnologue: Languages of the World. Available at http://www.ethnologue.com/statistics/size.Last accessed Apr 2017
  30. Lubeck DP. Health Related Quality of Life Measurements and Studies in Rheumatoid Arthritis. Am J Manag Care. 2002;8–9:811.Google Scholar
  31. Islam N, Baron Basak T, OudeVoshaar MA, Ferdous N, Rasker JJ, Atiqul HS. Cross-cultural adaptation and validation of a Bengali Health Assessment Questionnaire for use in rheumatoid arthritis patients. Int J Rheum Dis. 2013;16(4):413–7.View ArticlePubMedGoogle Scholar
  32. Kim SH, Jo MW, Ahn J, Ock M, Shin S, Park J. Assessment of psychometric properties of the Korean SF-12 v2 in the general population. BMC Public Health. 2014;14:1086.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2017