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Development and psychometric properties of a self-care behaviors scale (SCBS) among patients with rheumatoid arthritis

BMC Rheumatology volume 3, Article number: 20 (2019) Cite this article

Abstract

Background

The role of self-care behaviors in promoting physical function, pain management, health status and quality of life among patients with Rheumatoid Arthritis (RA) is well documented. However, there is no valid and reliable instrument in the literature to assess such behaviors among the patients. In the present study, we aimed to develop and assess the psychometric properties of a Self-care Behaviors Scale (SCBS) among patients with RA.

Methods

In 2017, applying a cross-sectional design, we recruited a convenient sample of 436 RA patients in Hamadan, Iran, to participate in the study. We developed the initial scale, including 30 items, after literature review, and having recommendations from an expert panel. Face, content, construct and convergent validity, as well as reliability of the scale were investigated.

Results

In Exploratory Factor Analysis, the optimal solution comprising 25 items and 7 factors was emerged, which explained 62.5% of all variances between the items. In Confirmatory Factor Analysis, the measurement model fit the data well, and all subscales were significant within an acceptable range (χ2 [233] = 428.654, p < 0.0001, comparative fit index = 0.942, normed fit index =0.907, Tucker-Lewis index =0.916, and root mean square error of approximation = 0.043[(0.037–0.05]).

Conclusion

The Self-care Behaviors Scale was found with appropriate validity, reliability, functionality and simplicity. To our knowledge, this scale is the only valid and reliable RA specific self-care behavior scale in the literature. Healthcare providers and health practitioners may apply the English version of this suitable instrument to find more valid and reliable data on RA self-care behaviors during primary assessments of the behaviors in educational interventions for the patients.

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Background

Rheumatoid arthritis (RA) is a chronic autoimmune disease that begins with periods of inflammation in synovium, and causes edema, swelling, vulnerability and stiffness in the joints [1,2,3]. It could be a major cause of disability, morbidity and mortality [2]. In addition to pain, motor limitation and disability, this disease leads to depression and anxiety, and extends its impacts to familial relationships of the patients [2, 4]. In patients with RA, the feeling of incompetence grows following the disability to perform former responsibilities [2, 5]. In the most of patients, there is deformation and reduced function of limbs, due to the involvement of moving joints [2]. About 1% of the world population suffers from RA [2, 6], and women are three times more likely to be diagnosed with the disease, compared to men [2, 7, 8] .The prevalence of disease has increased in recent years [9], and its rate varies from one group to another [2, 6]. On average, life expectancy among these patients is 3 to 7 years less than those of other people [2, 10].

In the United States, more than 2 million people are suffered from the disease and the current incidence is between 2 and 4 per 100,000 people, which is estimated to be more than 18% of the total population by 2020 due to the increased longevity of the population [7, 9]. In the Iranian studies conducted by Davatchi et al., the prevalence of RA is reported to be about 1% of the total population, which should be expected to increase in the upcoming years, due to the projected increase in the population of older adults in Iran [11, 12]. The major physical changes in these patients is associated with a risk of poor self-care [13], and thus poor quality of life [14].

As defined by WHO, “self-care” is “the ability of individuals, families and communities to promote health, prevent disease, maintain health, and to cope with illness and disability with or without the support of a health-care provider” [15]. The term self-care incorporates a wide scope from health promotion and disease prevention and control to providing care to dependent persons, and rehabilitation. According to Orem’s theory (1954), self-care is a regulated function of individuals based on the ability to carry out self-care behaviors on their own [16]. Self-care is also defined as a strategy to adapt to life events and tensions, which results in promoting healthy aging and independency. It also includes special activities that relieve the symptoms of illness and maintain and improve patients’ health [17,18,19]. A key factor in successful management of RA is the involvement of patients for correct self-care behaviors [1]. High levels of performing self-care behaviors (like fatigue management and energy conservation strategies, pain management, medication, exercise, nutrition and joint protection) may improve physical function, health status and quality of life (QOL) among RA patients [20,21,22]. Also, in order to promote self-care behaviors, these patients should be provided with a high level of practical, social, emotional and informational support [23].

Several previous studies have emphasized the role of self-care behaviors in promoting physical function, pain management, health status and QOL among patients with RA [24, 25]. In a previous study in Iran, the relationships between self-care behaviors, health status and QOL among patients with RA were investigated. In the study, a significant positive association was found between self-care behaviors and health status, but not between the behaviors and QOL. After more detailed analysis, the authors found that self-care may be indirectly associated to QOL through health status [21]. The diagnosis and provision of self-care needs of the patients are also asserted in the literature [24, 25]. Despite all abovementioned studies that have emphasized self-care behaviors among RA patients, the number of valid and reliable instruments to assess these behaviors is scarce. In 2011, Morowatisharifabad et al. developed and applied an invalidated self-care behavior scale to investigate these behaviors among the patients [26].

To our knowledge, there is no valid and reliable instrument in the literature to assess such behaviors among RA patients. In the studies conducted to investigate RA self-care behaviors, non-validated researcher-made questionnaires have been applied, which may potentially threat internal validity of the results. In order to address the self-care needs of RA patients, there is a great need to validated self-care behavior scales with the hope to provide health practitioners and nurses with valid and reliable data while designing health education and health promotion programs for the patients. Such instruments may also be useful while evaluating self-care education programs and services delivered to the patients at various levels of health systems. In the present study, we aimed to develop and assess the psychometric properties of a Self-care Behaviors Scale (SCBS) among patients with RA in Hamadan, Iran.

Methods

Participants and data collection

In this cross-sectional study, we recruited a convenient sample of 450 RA patients referring to a rheumatology clinic in Hamadan, Iran, to participate in the study. This nine-month study was conducted from May 2017 to February 2018. We estimated sample size based on 15 samples per item [27]. The primary version of scale comprised 30 items, and thus, a sample of 450 participants was considered as respondents. Inclusion criteria were (1) having at least four diagnostic criteria of RA, as suggested by American Rheumatology Association, (2) suffering from RA for more than 6 months, (3) being with at least 18 years of age and, (4) having no psychological or audio-visual problems. We recruited patients who fulfilled the inclusion criteria, consecutively, until the planned sample size was reached. Fourteen patients rejected to participate in our study (Response Rate = 96.8%). So, we included the data on 436 patients into analysis. We explained the purpose of study, as well as the patients’ rights as human subjects for the research to the participants. All those who accepted participation signed consent forms. In order to collect data, the first author conducted face-to-face private interviews with all participants in a private room at the clinic. The mean time to complete interviews was about 30–35 min.

Measures

Self-Care Behaviors Scale developed by Morowatisharifabad et al. [26] was considered as the basis to develop the SCBS questionnaire. This scale included 17 items, within which the participants were requested to state “the frequency of performing various self-care activities for their arthritis on a regular basis (once a month) during the previous 12 months” [26]. A five-point Liker-type scaling ranged from zero (not at all) to four (always) was considered as the response format. The theoretical range for the scale was from zero to 68, within which the higher scores represented higher levels of performance in self-care behaviors.

Arthritis Self-Efficacy Scale (ASES) [28], the Persian version [26], was used to assess convergent validity of the SCBS. This scale comprises nine function items, five coping with pain items, and six items related to other RA symptoms (e.g. fatigue, depression). Due to logistical limitations, we chose to include the pain and other symptoms scale scores in the questionnaire, only. Response format was based on a four-point Likert-type scale: zero = not at all, one = seldom, two = sometimes, and three = a lot. The total score was in a range from 0 to 33, in which the higher scores indicated the higher levels of perceived self-efficacy among the patients.

Demographic Data Form was a nine-item scale developed by the researchers to collect data on socio-demographic characteristics of the respondents. The items included age, gender, occupation, marital status, level of education, household monthly income, residency place, disease duration and the history of RA in the family.

Content validity

The initial 17-item scale was reviewed and assessed by an expert panel consisting two rheumatologists, a sports medicine specialist, an internal specialist with field experience in RA, a psychologist, two scholars in the area of health behavior and education and two nurses with field experience in RA. Based on the primary idea of the experts, the scale was not comprehensive in terms of assessing all domains of self-care behaviors. They finally recommended us to extend the scale through conducting a fast literature review on new relevant studies. So, we conducted a literature review. Based on the search results [22, 23, 29,30,31,32,33,34], 13 items were found to be added to the initial 17 items. Therefore, the first draft of the SCBS comprising 30 items was developed. In a second occasion, the draft was presented to the expert panel. During panel, the items were reviewed and assessed, orally, and evaluated in terms of appropriateness and relevance of items to RA patients, and response format, as well.

Content Validity Index (CVI) and Content Validity Ratio (CVR) were applied to validate the content of scale, quantitatively. Eleven specialists in the areas of health education and health behavior, rheumatology, sports medicine, psychology and nursing were requested to apprise the necessity of each item on the basis of a 3-point Likert-type scale (it is necessary, it is useful but not necessary, it is not necessary) (CVR). The values more than 0.99 (based on the Lawshe table) for each item was considered as necessary for the scale. The eleven experts were also asked to assess clarity, relevancy, and simplicity of the items, on the basis of a 4-point Likert-type scale. For each item, we considered the CVI value greater than 0.79 as appropriate and acceptable. So, the items with the score less than 0.79 were deleted from the scale.

We interviewed the panel of experts face-to-face to assess the items’ level of difficulty. We asked them to report the level of importance for each item, using a 5-point Likert-type scale (not important at all, a little important, moderately important, important, and absolutely important). Then, we calculated the impact score of the items through multiplying the frequency of an item by its mean importance [impact score = frequency (%) × importance]. Eventually, the items with impact score ≥ 1.5 were considered for the next stage.

The final draft was, then, pilot tested among a sample of 41 RA patients. In the pilot study, we aimed to assess the utility of scale, to identify the benefits and problems associated to the design, and to estimate the internal consistency of the scale, using Cronbach’s alpha coefficient. We did not include the pilot sample in the final sample.

Translation into English

We translated the final version of SCBS into English, with the hope to be applied in future studies within different communities. As the SCBS was originally developed in Persian, we asked a native Persian speaker with mastery of the English language to translate it into English. In order to preserve the denotation and connotation of the items, we then back-translated [35] the scale into Persian by a native English speaker with mastery of the Persian language. The latter translator had not seen the original Persian version of the scale. Next, we compared the back-translated copy to the original Persian scale to recognize incongruities.

Statistics

We used the statistical Package for Social Sciences (SPSS) v. 22 for the purpose of data entry, manipulation and analysis. No item was found with missing data. We used measures of central tendency and variability to summarize and organize the data. We then performed Pearson’s Correlation Coefficient, EFA, CFA, and Internal Consistency Reliability tests. The level of significance was considered 0.05, a priori.

Construct validity

Applying principal component factor analysis with varimax rotation, we performed Exploratory Factor Analysis (EFA) to assess construct validity and factor structure of the scale. We also used Confirmatory Factor Analysis (CFA) with the robust maximum likelihood to estimate model parameters.

In order to determine the factor structure of the scale, an EFA was conducted based on a randomized split of the data in the sample. We randomly selected a sample of 200 participants using the randomization function on SPSS v. 22. During EFA, we considered the factor loadings equal or greater than 0.3 to be appropriate, and the eigenvalues above 1 as an assignment for the number of factors. We then used the Kaiser-Meyer-Olkin (KMO) and Bartlett’s Test of sphericity to obtain the appropriateness of sample.

Thereafter, we performed a CFA on the remaining 236 participants of the larger overall sample to identify whether the factor structure required modification. The Analysis of Moment Structures (AMOS), version 10.0 was applied to conduct the CFA. In the CFA process, the absolute fit of the model to data was evaluated using the χ2 statistic, the comparative fit index (CFI), the Tucker–Lewis Index (TLI), and the root mean square error of approximation (RMSEA) tests. We considered the model to be acceptable if χ2 was between 1 and 5, CFI was more than 0.8, TLI was greater than 0.9, RMSEA was < 0.05 good fit or between 0.05 and 0.08 adequate fit.

Reliability

We used Cronbach’s alpha test to investigate internal consistency of the scale. The Cronbach’s alpha coefficient of 0.7 or above was considered to be acceptable. We also applied Intra class Correlation Coefficients (ICC) to calculate the test-retest reliability coefficient (ICC ≥ 0.70 was considered satisfactory).

Convergent validity

We applied Pearson’s correlation coefficient test to assess the nature of associations between the SCBS factors, and to evaluate the associations between the factors and the domains of ASES.

Ethical considerations

Ethics committee in Tabriz University of Medical Sciences approved the study (number 40773, 16.11.2017). We obtained informed consent form from all respondents, and all signed consent forms. We also explained the patients about the purpose of study, and assured then on the confidentiality of their data.

Results

Participants

In this study, data on 436 patients with RA were analyzed. The age of participants ranged from 18 to 84 years (Mean = 53, SD = 13). A majority of participants were female (87%), married (79%), housewife (77%) and urban resident (68%). About 60% aged 50 years and older and 71% had primary or lower levels of education. Duration of RA among 81% of the patients was 3 years and higher.

Content validity

Based on the qualitative recommendations of the experts and the quantitative results (CVI and CVR), 7 out of 30 items were revised. The qualitative recommendations of the expert panel, which was mostly regarding technical revisions, wording and phrasing of the items, was considered to revise and modify the instrument. Also, as they recommended, 3 items out of the initial 30 items of the instrument were removed, and therefore, the SCBS with 27 items was included in the CVR and CVI processes. In quantitative evaluation, CVI (ranged between 0.8 and 1) and CVR (ranged between 0.6 and 1) showed satisfactory results for each item, and consequently for the SCBS. The Impact Score and the CVR value for all SCBS items were more than 1.5 and 0.62 [36], respectively, and thus no item was deleted; however, in qualitative content validity, some modifications were made to the wording and phrasing of some items. Eventually, 27 items remained.

Factor structure

In EFA, Kaiser-Meyer-Olkin measure of sampling adequacy for the SCBS was 0.804 (Approx. Chi-Square = 4811.324, df = 300, p < = 0.001). In the Communalities table, two items (items number 15 and 24) were found to be with extraction values less than 0.2. So, we removed these two items and rerun EFA. Table 1 shows the factors (subscales), number of items, range, mean and standard deviation, kurtosis and skewness, as well as floor and ceiling effects of the factors.

Table 1 A summary of characteristics of the factors
Full size table

In the last iteration of analysis, seven distinctive factors were extracted. These factors explained 62.5% of total variance between the items. Cattell’s scree test also indicated the possibility to extract four to seven factors. Therefore, we conducted multiple runs of factor analysis with various numbers of factors. Finally, we distinguished the initial seven-factor solution as the most distinct pattern for factor loadings.

Rotated factor pattern coefficient for the solution is shown in Table 2. For each factor, we presented information about initial eigenvalues (before rotation), rotation sum of squares (variance accounted for after rotation), and percent of variance explained (after rotation). In the table, we also provided internal consistency reliability, as indicated by Cronbach’s alpha, and ICC with 95% confidence intervals (CI) for each factor.

Table 2 Rotated factor pattern coefficients for variable solutions (25 items) of SCBS factors
Full size table

We found the measurement model (Fig. 1) to be with a good fit to data in the assumed model. All subscales were found to be significant within an acceptable range (χ2 [233] = 428.654, p < 0.0001, CFI = 0.942, NFI = 0.907, TLI = 0.916, RMSEA = 0.043[(0.037–0.05]).

Fig. 1
figure1

CFA based relations between the items and the factors and between the factors. All relations between the factors and items and between the factors were statistically significant (All P < 0.05). F1 = Physical Activity; F2 = Medication; F3 = Stress Management/Others; F4 = Nutrition/Joints Protection; F5 = Management of Daily Activities; F6 = Pain Management; F7 = Tobacco/Opium Use. Fit indices: χ2 [233] = 428.654, p < 0.0001, CFI = 0.942, NFI = 0.907, TLI = 0.916, RMSEA = 0.043[(0.037–0.05]

Full size image

Reliability

The Cronbach’s alpha coefficient for the total scale, in the pilot and final data were 0.85 and 0.74, respectively. For the factors, a wide range from low to high levels of Cronbach’s alpha coefficients was found (Table 2). Factor 2 had the highest (0.85) and factor 7 had the lowest (0.29) Cronbach’s alpha. The Cronbach’s alpha for some of the factors (F1, F4, and F7) were less than 0.65, which argued omitting of the factors. We, therefore, considered visual inspection and hyperplane count [37] to determine the simple structure and the best solution, respectively. Finally, we decided not to eliminate the factors considering the importance of self-care domains presented in the factors. For all subscales, ICC with 95% CI was higher than .70 (.71–.91) (Table 2).

Convergent validity

In the process of investigating convergent validity, we found significant correlations between a majority of the factors and the subscales of ASES (pain and other symptoms scales) (Table 3). Statistically significant relationships were also found between the most of factors after applying Pearson correlation coefficient test. The strongest relationships were found between factor 3 (stress management/others) and factor 5 (management of daily activities) (r = .356), and factor 4 (Nutrition/Joints Protection) and factor 6 (Pain Management) (r = 0.356). The weakest relationships was found between factor 1 (Physical Activity) and factor 7 (Tobacco/Opium Use) (r = −.006) (Table 4).

Table 3 Pearson correlation coefficients of the SCBS factors, and Arthritis Self-efficacy Scale components scores
Full size table
Table 4 Pearson’s correlation coefficients between the factors
Full size table

Discussion

In the present study, we reported the development and psychometric properties of the SCBS (Additional file 1: Table S1) to assess self-care behaviors among patients with RA. Despite the importance of self-care behaviors among RA patients [22, 29, 30, 32,33,34], there is a scarcity in the valid and reliable instruments to be applied for investigating the behaviors during health promotion interventions among RA patients. Although the initial version of the scale was developed in a previous study [26], psychometric properties of the scale were still unclear. So, we decided to develop the instrument and test it for validity and reliability.

In construct validity, the seven-factor solution yielded a distinct pattern of factor loadings. This solution explained about 62.5% of total variance between the items. The first three factors, including “physical activity”, “medication”, and “stress management/others” were particularly so strong that together explained about 43.03% of the total variance. As confirmations for factor structure of the scale, the measurement model fit the data well and all factors were significantly in an acceptable range. Therefore, the construct validity of the instrument was approved.

As recommended by Gorsuch [38], we investigated correlations between the factors to assess convergent validity of the scale. In results, we found a wide range of various associations between the factors. The variations were from none to moderate and strong relationships, which may be due to the nature of factors. Some of the factors covered a wide range of self-care behaviors. As instances, the strongest and the weakest relationships were found between factor 3 (stress management/others) and factor 5 (management of daily activities), and between factor 1 (physical activity) and factor 7 (tobacco/opium use), respectively. Presenting associations between factors in our study may be helpful for future researchers in comparing their results with those found in the present study [39]. Such correlations between the factors may be interpreted like alpha indicating the stability of each factor [38].

Our results also showed that some factors derived from the SCBS had weak to moderate associations with the two components of ASES. A majority of the associations were found to be positive between almost all factors with both RA pain and other symptoms components of the ASES. In other words, the higher was the level of self-efficacy in different domains, the higher level of self-care behaviors among the patients was inferred. All these findings affirmed the convergent validity of the scale.

Our results also confirmed acceptable internal consistency of the SCBS. The Cronbach’s alpha coefficient for the scale was 0.74, which was at an acceptable range, as recommended by Sim and Wright [40] and Develis [41]. However, as we expected, Cronbach’s alpha for some of the factors (F1, F4, and F7) were less than 0.65, which argued omitting of the factors. After visual inspection and the hyperplane count [37], we finally decided not to eliminate the factors considering the importance and relevancy of the factors. We also expected low levels of Cronbach’s alpha for these factors. For factor 4, as an instance, low internal consistency may be related to different nature of the items loaded on the factor. The items regarding both nutrition and joint protection behaviors, as quite distinct self-care behaviors, were loaded on this factor. Based on Scree plot visual inspection, factor analysis was rerun for several times to find a clearer solution. However, the seven-factor solution was found as the best solution. As factor 4 in this solution included these two domains, the low Cronbach’s alpha was inevitable. For factor 7, low level of Cronbach’s alpha may be attributed to the few item numbers loaded on the factor. As another indication for internal consistency of the SCBS, test-retest reliability for all subscales was higher than .70 (.71–.91). In several previous studies [39, 42,43,44], Cronbach’s alpha and/or ICC have been used to confirm the reliability of instruments. Moreover, the results of CVI and CVR as well as those of face and content validity in the present study ensured the simplicity, clarity and relevancy of the SCBS.

A limitation for our study was the difficulty in comparing SCBS with other similar instruments, which was due to the lack of comparable standard instruments in the literature. At the end of study, we found that some items might be beneficial for some patients only (e.g. applying heat to body parts) and some items cover more than one object/issue for patients to assess (e.g. changed dosage of drugs or time of intake). For future studies, therefore, we suggest using a psychometric method that offers insights into item-based parameters, such as Rasch analysis. Another important further requirement of measurement which may be addressed in the Rasch model is invariance. This may help the future researchers to eliminate redundant items and to improve the formulation of some items.

Conclusion

In our study, the SCBS was found to be with an appropriate level of validity, reliability, simplicity, and functionality. To the best of our knowledge, this scale is the only valid and reliable RA specific self-care behavior scale in the literature. Nurses, healthcare providers, health practitioners and RA researchers may use this suitable instrument to find more valid and reliable data on self-care behaviors during primary assessments of behaviors for RA educational interventions and health promotion programs. Further research applying this scale is suggested to compare various aspects of the SCBS in different RA populations.

Availability of data and materials

The data that support the findings of this study are stored and available upon reasonable request.

Change history

  • 20 August 2019

    An error occurred during the publication of a number of articles in BMC Rheumatology. Several articles were published in volume 3 with a duplicate citation number.

Abbreviations

ASES:

Arthritis Self-efficacy Scale

CFA:

Confirmatory Factor Analysis

CFI:

Comparative fit index

CVI:

Content Validity Index

CVR:

Content Validity Ratio

EFA:

Exploratory Factor Analysis

ICC:

Intra class correlation coefficients

KMO:

Kieser-Meyer-Olkin

QOL:

Quality of life

RA:

Rheumatoid Arthritis

RMSEA:

Root mean square error of approximation

SCBS:

Self-care Behaviors Scale

TLI:

Tucker–Lewis Index

References

  1. 1.

    Chen S-Y, Wang H-H. The relationship between physical function, knowledge of disease, social support and self-care behavior in patients with rheumatoid arthritis. J Nurs Res. 2007;15(3):183–92.

    Article  Google Scholar 

  2. 2.

    Kasper, D., et al., Harrison's principles of internal medicine. 19th ed. 2015, New York: McGraw-Hill Professional.

  3. 3.

    Freeman DL. Harrison's principles of internal medicine. JAMA. 2001;286(8):971–2.

    Article  Google Scholar 

  4. 4.

    Gettings L. Psychological well-being in rheumatoid arthritis: a review of the literature. Musculoskeletal Care. 2010;8(2):99–106.

    PubMed  Google Scholar 

  5. 5.

    Sperry L. Treating patients with arthritis: the impact of individual, couple, and family dynamics. Fam J. 2009;17(3):263–6.

    Article  Google Scholar 

  6. 6.

    Gordon M, et al. Can intervention modify adverse lifestyle variables in a rheumatoid population? Results of a pilot study. Ann Rheum Dis. 2002;61(1):66–9.

    Article  Google Scholar 

  7. 7.

    Wolfe F, et al. Consensus recommendations for the assessment and treatment of rheumatoid arthritis. J Rheumatol. 2001;28(6):1423–30.

    CAS  PubMed  Google Scholar 

  8. 8.

    Cimino WG, O'Malley MJ. Rheumatoid arthritis of the ankle and hindfoot. Rheum Dis Clin. 1998;24(1):157–72.

    CAS  Article  Google Scholar 

  9. 9.

    Kalali, J.N., et al., The effect of eight weeks of aerobic exercise on quality of life and pain in patients with rheumatoid arthritis. 2011.

    Google Scholar 

  10. 10.

    Landi F, et al. Disability, more than multimorbidity, was predictive of mortality among older persons aged 80 years and older. J Clin Epidemiol. 2010;63(7):752–9.

    Article  Google Scholar 

  11. 11.

    Davatchi F, et al. WHO-ILAR COPCORD study (stage 1, urban study) in Iran. J Rheumatol. 2008;35(7):1384.

    PubMed  Google Scholar 

  12. 12.

    Davatchi F, et al. The prevalence of musculoskeletal complaints in a rural area in Iran: a WHO-ILAR COPCORD study (stage 1, rural study) in Iran. Clin Rheumatol. 2009;28(11):1267–74.

    Article  Google Scholar 

  13. 13.

    Baker C, Stern PN. Finding meaning in chronic illness as the key to self-care. Can J Nurs Res. 1993;25(2):23–36.

    CAS  PubMed  Google Scholar 

  14. 14.

    Dougados M, Zhu B, Tang AC, Quebe A, Stoykov I, Cai Z, Ishida M, Gaich C. FRI0116 a high level of clinical response based on composite indices is associated with improved health-related quality of life: analyses from a phase 3 clinical trial in patients with rheumatoid arthritis. Ann Rheum Dis. 2017:524.

  15. 15.

    World Health Organization, R.O.f.S.-E.A., Self care for health., 2014, SEARO Publications: WHO Regional Office for South-East Asia.

  16. 16.

    Orem, D., Self-care deficit theory of nursing. Nursing theorists and their work. 1989, St Louis: CV: Mosby.

  17. 17.

    Akyol AD, et al. Self-care agency and factors related to this agency among patients with hypertension. J Clin Nurs. 2007;16(4):679–87.

    Article  Google Scholar 

  18. 18.

    Ovayolu OU, Ovayolu N, Karadag G. The relationship between self-care agency, disability levels and factors regarding these situations among patients with rheumatoid arthritis. J Clin Nurs. 2012;21(1–2):101–10.

    Article  Google Scholar 

  19. 19.

    Riegel B, Dickson VV. A situation-specific theory of heart failure self-care. J Cardiovasc Nurs. 2008;23(3):190–6.

    Article  Google Scholar 

  20. 20.

    Nadrian H, Morowatisharifabad MA, Bahmanpour K. Development of a rheumatoid arthritis education program using the PRECEDE_PROCEED model. Health Promot Perspect. 2011;1(2):118.

    PubMed  PubMed Central  Google Scholar 

  21. 21.

    Nadrian H, Morovati SM, Mirzaei A, Bahmanpur K, Moradzadeh R, Shariati AM. Relationship between quality of life, health status and self-care behaviors in patients with rheumatoid arthritisi in Yazd (Central Iran). Ilam Med J. 2011;15:15–25.

    Google Scholar 

  22. 22.

    Vermaak V, et al. Evaluation of a disease specific rheumatoid arthritis self-management education program, a single group repeated measures study. BMC Musculoskelet Disord. 2015;16:214.

    Article  Google Scholar 

  23. 23.

    Zuidema RM, et al. What do we know about rheumatoid arthritis patients’ support needs for self-management? A scoping review. Int J Nurs Stud. 2015;52(10):1617–24.

    CAS  Article  Google Scholar 

  24. 24.

    Ebrahimi M, et al. Status of self-care ability of patients with rheumatoid arthritis. J Holist Nurs Midwifery. 2015;25(4):9–18.

    Google Scholar 

  25. 25.

    Nadrian, H., M. Morowatisharifabad, and H. SoleimaniSalehabadi, Paradims of rheumatoid arthritis patients quality of life predictors based on path analysis of the Precede model. Bimonthly Journal of Hormozgan University of Medical Sciences, 2010. 14(1): p. 32–44.

  26. 26.

    Morowatisharifabad MA, et al. Utilising the PRECEDE model to predict factors related to self-care behaviours in patients with rheumatoid arthritis in Yazd (Iran). J Nurs Healthc Chronic Illn. 2010;2(1):32–40.

    Article  Google Scholar 

  27. 27.

    Munro, B., Statistical Methods for Health Care Research. 2005, Philadelphia, PA.: Lippncott, Williams & Wilkins.

  28. 28.

    Lorig K, Chastain RL, Ung E, Shoor S, Holman HR. Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis Rheumatoid. 1989;32:37–44.

    CAS  Article  Google Scholar 

  29. 29.

    Banerjee A, Hendrick P, Bhattacharjee P, Blake H. A systematic review of outcome measures utilised to assess self-management in clinical trials in patients with chronic pain. Patient Educ Couns. 2018;101(5):767–78.

    Article  Google Scholar 

  30. 30.

    Gong G, Mao J. Health-related quality of life among Chinese patients with rheumatoid arthritis: the predictive roles of fatigue, functional disability, self-efficacy, and social support. Nurs Res. 2016;65(1):55–67.

    Article  Google Scholar 

  31. 31.

    Katz PP. Education and self-care activities among persons with rheumatoid arthritis. Soc Sci Med. 1998;46(8):1057–66.

    CAS  Article  Google Scholar 

  32. 32.

    Kordasiabi MC, Akhlaghi M, Baghianimoghadam MH, Morowatisharifabad MA, Askarishahi M, Enjezab B, Pajouhi Z. Self management behaviors in rheumatoid arthritis patients and associated factors in Tehran. Glob J Health Sci. 2016;8(3):156.

    Article  Google Scholar 

  33. 33.

    Voshaar MJ, Nota I, van de Laar MA, van den Bemt BJ. Patient-centred care in established rheumatoid arthritis. Best Pract Res Clin Rheumatol. 2015;29(4):643–63.

    CAS  Article  Google Scholar 

  34. 34.

    Zhang L, Xia Y, Zhang Q, Fu T, Yin R, Guo G, Li L, Gu Z. The correlations of socioeconomic status, disease activity, quality of life, and depression/anxiety in Chinese patients with rheumatoid arthritis. Psychol Health Med. 2017;22(1):28–36.

    Article  Google Scholar 

  35. 35.

    Jones E, Kay M. Instrumentation in cress-cultural research. Nurs Res. 1992;41:186-188.

    Google Scholar 

  36. 36.

    Lawshe C. A qualitative approach to content. Pers Psychol. 1975;28(4):63–575.

    Article  Google Scholar 

  37. 37.

    Hendrickson AE, White PO. Promax: a quick method for rotation to oblique simple structure. Br J Math Stat Psychol. 1964;17(1):65–70.

    Article  Google Scholar 

  38. 38.

    Gorsuch R. Exploratory factor analysis: its role in item analysis. J Pers Assess. 1997;68(3):532–60.

    CAS  Article  Google Scholar 

  39. 39.

    Nadrian H, et al. Urban traffic-related determinants of health questionnaire (UTDHQ): an instrument developed for health impact assessments. Med J Islam Repub Iran. 2014;28:84.

    PubMed  PubMed Central  Google Scholar 

  40. 40.

    Sim, J. and C. Wright, Research in health care: concepts, designs and methods. 2000: Nelson Thornes.

  41. 41.

    DeVellis, R.F., Scale development: theory and applications. Vol. 26. Thousands oaks: Sage publications; 2016.

  42. 42.

    Yari A, Nadrian H, Rashidian H, Nedjat S, Esmaeilnasab N, Doroudi R, Hoursan H. Psychometric properties of the Persian version of social capital questionnaire in Iran. Med J Islam Repub Iran. 2014;28:17.

    PubMed  PubMed Central  Google Scholar 

  43. 43.

    Taymoori P, et al. Development and psychometric testing of the adolescent healthy lifestyle questionnaire. J Educ Health Promot. 2012;1.

    Article  Google Scholar 

  44. 44.

    Parshall MB. Psychometric characteristics of dyspnea descriptor ratings in emergency department patients with exacerbated chronic obstructive pulmonary disease. Res Nurs Health. 2002;25(5):331–44.

    Article  Google Scholar 

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Acknowledgements

We thank all rural health workers participated in our study

Funding

No fund was received for this work.

Author information

Affiliations

  1. Social Determinants of Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

    Haidar Nadrian

  2. Department of Health Education and Promotion, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran

    Yasna Hosseini Niaz

  3. Department of Internal Diseases Medicine, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran

    Zahra Basiri & Ahmad Tahamoli Roudsari

Authors
  1. Haidar Nadrian
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  2. Yasna Hosseini Niaz
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  3. Zahra Basiri
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  4. Ahmad Tahamoli Roudsari
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Contributions

HN and YHN were involved in the conception of the study, performed the analyses and drafted the manuscript. ZB and ATR were involved in the conception of the study, interpreted the results from the analyses. YHN and HM assisted in drafting and revising the manuscript. All authors have read and approved the final manuscript, and ensure that this is the case.

Corresponding author

Correspondence to Haidar Nadrian.

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Ethics approval and consent to participate

Ethical approval for the study was received by Ethics Committee in Research Affairs, Tabriz University of Medical Sciences. All respondents were informed about the aim of study and assured on the confidentiality of data and, all signed a consent form.

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Not applicable.

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The authors declare that they have no competing interest.

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Additional file

Additional file 1:

Table S1.. Self-Care Behaviors Scale (SCBS) developed in the present study. A copy of the Self-Care Behaviors Scale (SCBS) developed in the current study is presented here. The subscales, number of items for each subscale, internal consistency and test-retest reliabilities are presented in the paper. The box ticked for each item, is the score for the item. If two consecutive boxes are circled, code the lower number (less self-care). Do not score the item, if the boxes are not consecutive. The mean of the items is considered as the score for the scale. Do not score the scale, if more than 25% of the items are missing. The theoretical range for the scale was from zero to 100, within which the higher scores represent higher levels of performance in self-care behaviors. (DOCX 14 kb)

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Nadrian, H., Hosseini Niaz, Y., Basiri, Z. et al. Development and psychometric properties of a self-care behaviors scale (SCBS) among patients with rheumatoid arthritis. BMC Rheumatol 3, 20 (2019). https://doi.org/10.1186/s41927-019-0069-4

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Keywords

  • Rheumatoid arthritis
  • Self-care behaviors
  • Instrumentation
  • Validity
  • Reliability

BMC Rheumatology

ISSN: 2520-1026

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