Volume 9, Issue 4 (2021)                   Health Educ Health Promot 2021, 9(4): 395-402 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ghasemi M, Ghofranipour F, Shahbazi H, Aminshokravi F. Skills of Health-Workers in Providing a Self-Care Program for Pre-Diabetic Individuals; Psychometrics of a Questionnaire. Health Educ Health Promot 2021; 9 (4) :395-402
URL: http://hehp.modares.ac.ir/article-5-51849-en.html
1- Department of Health Education & Health Promotion, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2- Department of Health Education & Health Promotion, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran , h.shahbazi@modares.ac.ir
Abstract:   (1704 Views)
Aims: This research aimed at designing and psychometric properties of a questionnaire for health-worker skills evaluation to obtain a self-care program for pre-diabetic patients.
Instrument & Methods: The questionnaire's psychometric properties were evaluated utilizing face validity by 15 health workers, content validity was evaluated by ten experts (5 health education and health promotion experts, three diabetes experts, and two general practitioners), and construct validity, internal consistency, and stability were assessed by 400 health workers who were randomly selected. 
Findings: Due to the results of investigating the texts and interviews, the initial questionnaire, including 54 phrases, was presented. In the face validity section, eight expressions were removed quantitatively. Then, in identifying content validity, three other words were deleted, and the questionnaire was reduced to 43 phrases in general. This questionnaire's exploratory factor analysis revealed four factors: self-efficacy, attitude, reinforcing factors, and enabling factors. These four factors explained 57.51% of the total variance of the test. The confirmatory factor analysis results also confirmed the factors of the PRECEDE-PROCEED model. Cronbach's alpha and intra-cluster correlation index for questionnaire structures ranged from 0.87-0.88 and 0.87-0.88, respectively.
Conclusion: The designed questionnaire has good validity and reliability.
Full-Text [PDF 633 kb]   (1540 Downloads) |   |   Full-Text (HTML)  (352 Views)  
Article Type: Descriptive & Survey | Subject: Health Education and Health Behavior
Received: 2021/04/21 | Accepted: 2021/05/3 | Published: 2021/11/12
* Corresponding Author Address: Department of Health Education & Health Promotion, Faculty of Medical Sciences, Tarbiat Modares University, Nasr Bridge, Tehran, Iran. Postal Code: 14115111.

References
1. Williams J, Allen L, Wickramasinghe K, Mikkelsen B, Roberts N, Townsend N. A systematic review of associations between non-communicable diseases and socioeconomic status within low-and lower-middle-income countries. J Glob Health. 2018;8(2):20409. [Link] [DOI:10.7189/jogh.08.020409] [PMID] [PMCID]
2. Frouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, Brauer M, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(10010):2287-323. [Link] [DOI:10.1016/S0140-6736(15)00128-2]
3. International diabetes federation. IDF diabetes atlas. Brussels: International Diabetes Federation; 2009. [Link]
4. Le Boudec J, Marques-Vidal P, Cornuz J, Clair C. Smoking cessation and the incidence of pre-diabetes and type 2 diabetes: A cohort study. J Diabetes Complications. 2016;30(1):43-8. [Link] [DOI:10.1016/j.jdiacomp.2015.10.005] [PMID]
5. Qin L, Xu H. A cross-sectional study of the effect of health literacy on diabetes prevention and control among elderly individuals with prediabetes in rural China. BMJ Open. 2016;6(5):011077. [Link] [DOI:10.1136/bmjopen-2016-011077] [PMID] [PMCID]
6. Beulens J, Rutters F, Ryden L, Schnell O, Mellbin L, Hart HE, et al. Risk and management of pre-diabetes. Eur J Prev Cardiol. 2019;26(Suppl 2):47-54. [Link] [DOI:10.1177/2047487319880041] [PMID]
7. Swindell N, Mackintosh K, McNarry M, Stephens JW, Sluik D, Fogelholm M, et al. Objectively measured physical activity and sedentary time are associated with cardiometabolic risk factors in adults with prediabetes: The preview study. Diabetes Care. 2018;41(3):265-9. [Link] [DOI:10.2337/dc17-1057] [PMID]
8. Hostalek U. Global epidemiology of prediabetes-present and future perspectives. Clin Diabetes Endocrinol. 2019;5:5. [Link] [DOI:10.1186/s40842-019-0080-0] [PMID] [PMCID]
9. Hadaegh F, Derakhshan A, Zafari N, Khalili D, Mirbolouk M, Saadat N, et al. Pre‐diabetes tsunami: incidence rates and risk factors of pre‐diabetes and its different phenotypes over 9 years of follow‐up. Diabet Med. 2017;34(1):69-78. [Link] [DOI:10.1111/dme.13034] [PMID]
10. Wang J, Zhang RY, Chen RP, Sun J, Yang R, Ke XY, et al. Prevalence and risk factors for diabetic retinopathy in a high-risk Chinese population. BMC Public Health. 2013;13(1):633. [Link] [DOI:10.1186/1471-2458-13-633] [PMID] [PMCID]
11. Ibrahim N, Moy FM, Awalludin IAN, Ali Z, Ismail IS. The health-related quality of life among pre-diabetics and its association with body mass index and physical activity in a semi-urban community in Malaysia-a cross sectional study. BMC Public Health. 2014;14:298. [Link] [DOI:10.1186/1471-2458-14-298] [PMID] [PMCID]
12. Hansen S, Huttunen-Lenz M, Sluik D, Brand-Miller J, Drummen M, Fogelholm M, et al. Demographic and social-cognitive factors associated with weight loss in overweight, pre-diabetic participants of the preview study. Int J Behav Med. 2018;25(6):682-92. [Link] [DOI:10.1007/s12529-018-9744-x] [PMID] [PMCID]
13. Feldman AL, Griffin SJ, Ahern AL, Long GH, Weinehall L, Fharm E, et al. Impact of weight maintenance and loss on diabetes risk and burden: A population-based study in 33,184 participants. BMC Public Health. 2017;17(1):170. [Link] [DOI:10.1186/s12889-017-4081-6] [PMID] [PMCID]
14. Muraki I, Imamura F, Manson JE, Hu FB, Willett WC, Van Dam RM, et al. Fruit consumption and risk of type 2 diabetes: Results from three prospective longitudinal cohort studies. BMJ. 2013;347:5001. [Link] [DOI:10.1136/bmj.f5001] [PMID] [PMCID]
15. Xi B, Li S, Liu Z, Tian H, Yin X, Huai P, et al. Intake of fruit juice and incidence of type 2 diabetes: A systematic review and meta-analysis. Plos One. 2014;9(3):93471. [Link] [DOI:10.1371/journal.pone.0093471] [PMID] [PMCID]
16. Tabak AG, Herder C, Rathmann W, Brunner EJ, Kivimaki M. Prediabetes: A high-risk state for diabetes development. Lancet. 2012;379(9833):2279-90. [Link] [DOI:10.1016/S0140-6736(12)60283-9]
17. American association of diabetes educators. Competencies for diabetes educators and diabetes paraprofessionals [Report]. Chicago: American Association of Diabetes Educators; 2016, Report NO: Unknown. [Link]
18. Somerville M, Ball L, Sierra-Silvestre E, Williams LT. Understanding the knowledge, attitudes and practices of providing and receiving nutrition care for prediabetes: An integrative review. Aust J Prim Health. 2019;25(4):289-302. [Link] [DOI:10.1071/PY19082] [PMID]
19. Mansoorian MR, Khosrovan S, Sajjadi M, Soltani M, Khazaei A. Effect of team member teaching design on knowledge of health personnel about diabetes. J Diabetes Nurs. 2018;6(2):439-51. [Persian] [Link]
20. Okusanya BO, Ogunjimi OH, Osanyin G, Okojie OE, Oye-Adeniran BA. Effect of training on the knowledge and use of the partograph for low risk pregnancies among health workers in a tertiary hospital in Lagos State, Nigeria. Journal of Community Medicine and Primary Health Care. 2018;30(2):47-54. [Link]
21. Jamshidi HR, Cook DA. Some thoughts on medical education in the twenty-first century. Med Teach. 2003;25(3):229-38. [Link] [DOI:10.1080/0142159031000100256] [PMID]
22. Silverman J, Krieger J, Sayre G, Nelson K. The value of community health workers in diabetes management in low-income populations: A qualitative study. J Community Health. 2018;43(5):842-7. [Link] [DOI:10.1007/s10900-018-0491-3] [PMID]
23. Hill J, Peer N, Oldenburg B, Kengne AP. Roles, responsibilities and characteristics of lay community health workers involved in diabetes prevention programmes: A systematic review. Plos One. 2017;12(12):0189069. [Link] [DOI:10.1371/journal.pone.0189069] [PMID] [PMCID]
24. Javanparast S, Windle A, Freeman T, Baum F. Community health worker programs to improve healthcare access and equity: Are they only relevant to low-and middle-income countries. Int J Health Policy Manag. 2018;7(10):943-54. [Link] [DOI:10.15171/ijhpm.2018.53] [PMID] [PMCID]
25. Nikniaz Z, Jafarabadi MA, Ghaffarifar S, Saeedi Z, Namvar ZA, Shirmohammadi M. Psychometric properties of the Persian version of the celiac disease adherence test questionnaire. BMC Gastroenterol. 2020;20(1):1-6. [Link] [DOI:10.1186/s12876-020-01396-8] [PMID] [PMCID]
26. Nahidi F, Tavafian SS, Heidarzadeh M, Hajizadeh E, Montazeri A. The Mother-Newborn Skin-to-Skin Contact Questionnaire (MSSCQ): Development and psychometric evaluation among Iranian midwives. BMC Pregnancy Childbirth. 2014;14(1):85. [Link] [DOI:10.1186/1471-2393-14-85] [PMID] [PMCID]
27. Lawshe CH. A quantitative approach to content validity. Pers Psychol. 1975;28(4):563-75. [Link] [DOI:10.1111/j.1744-6570.1975.tb01393.x]
28. Tavousi M, Haeri-Mehrizi A, Rakhshani F, Rafiefar S, Soleymanian A, Sarbandi F, et al. Development and validation of a short and easy-to-use instrument for measuring health literacy: The Health Literacy Instrument for Adults (HELIA). BMC Public Health. 2020;20(1):656. [Link] [DOI:10.1186/s12889-020-08787-2] [PMID] [PMCID]
29. Kharazi S, Peyman N, Esmaily H. An evaluation of the validity and reliability of the maternal health literacy and pregnancy outcome questionnaire. J Health Syst Res. 2017;12(4):512-9. [Persian] [Link]
30. Cronbach LJ, Meehl PE. Construct validity in psychological tests. Psychol Bull. 1955;52(4):281-302. [Link] [DOI:10.1037/h0040957] [PMID]
31. Kline RB. Principles and practice of structural equation modeling. New York: Guilford Press; 2011. [Link]
32. Ainur A, Sayang M, Jannoo Z, Yap B, Deni SM. Sample size and non-normality effects on goodness of fit measures in structural equation models. Pertanika J Sci Technol. 2015;25(2):575-86. [Link]
33. Orcan F. Exploratory and confirmatory factor analysis: Which one to use first. J Meas Eval Educ Psychol. 2018;9(4):414-21. [Link] [DOI:10.21031/epod.394323]
34. Sadat Z, Ghofranipour F, Azin SA, Montazeri A, Goshtasebi A, Bagheri A, et al. Development and psychometric evaluation of the sexual knowledge and attitudes scale for premarital couples (SKAS-PC): An exploratory mixed method study. Int J Reprod Biomed. 2018;16(1):41-50. [Link]
35. Okado I, Cassel K, Pagano I, Holcombe RF. Development and psychometric evaluation of a questionnaire to measure cancer patients' perception of care coordination. BMC Health Serv Res. 2020;20(1):52. [Link] [DOI:10.1186/s12913-020-4905-4] [PMID] [PMCID]
36. Taber KS. The use of Cronbach's alpha when developing and reporting research instruments in science education. Res Sci Educ. 2018;48(6):1273-96. [Link] [DOI:10.1007/s11165-016-9602-2]
37. Xu C, Yin M, Mo W. Correlation and differences in lumbopelvic sagittal alignment parameters between lumbar radiographs and magnetic resonance images. Glob Spine J. 2020 Aug:2192568220947049. [Link] [DOI:10.1177/2192568220947049] [PMID]
38. Bobak CA, Barr PJ, O'Malley AJ. Estimation of an inter-rater intra-class correlation coefficient that overcomes common assumption violations in the assessment of health measurement scales. BMC Med Res Methodol. 2018;18(1):93. [Link] [DOI:10.1186/s12874-018-0550-6] [PMID] [PMCID]
39. Bazvand Z, Tavafian SS, Boozari S, Shahrbanian S. Development and psychometric of a questionnaire about knowledge, attitude and practice of nurses towards neck pain prevention. J Nurs Educ. 2020;9(1):1-10. [Persian] [Link]
40. Kazemi SS, Tavafian SS, Hidarnia A, Montazeri A. Development and validation of the occupational back pain prevention behaviors questionnaire in nursing personnel. Res Sq. 2019:1-16. [Link] [DOI:10.21203/rs.2.12282/v2]
41. Meng R, Li J, Wang Z, Zhang D, Liu B, Luo Y, et al. The Chinese version of the perceived stress questionnaire: Development and validation amongst medical students and workers. Health Qual Life Outcomes. 2020;18(1):70. [Link] [DOI:10.1186/s12955-020-01307-1] [PMID] [PMCID]
42. Ebadi A, Taghizadeh Z, Montazeri A, Shahvari Z, Tavousi M, Bagherzadeh R. Translation, development and psychometric properties of health related measures-Part 2: Construct validity, reliability and responsiveness. PAYESH. 2017;16(4):445-55. [Persian] [Link]
43. Bukhsh A, Lee SWH, Pusparajah P, Schmitt A, Khan TM. Psychometric properties of the diabetes self-management questionnaire (DSMQ) in Urdu. Health Qual Life Outcomes. 2017;15(1):200. [Link] [DOI:10.1186/s12955-017-0776-8] [PMID] [PMCID]
44. Robat Sarpooshi D, Taghipour A, Mahdizadeh M, Azadeh S, AliReza J, Peyman N. Design and psychometric evaluation of self-care behavior assessment tool in diabetic patients. J Diabetes Metab Disord. 2020;19(2):709-16. [Link] [DOI:10.1007/s40200-020-00549-6] [PMID] [PMCID]
45. Stuhmann LM, Paprott R, Heidemann C, Ziese T, Hansen S, Zahn D, et al. Psychometric properties of a nationwide survey for adults with and without diabetes: The disease knowledge and information needs-diabetes mellitus (2017) survey. BMC Public Health. 2020;20(1):192. [Link] [DOI:10.1186/s12889-020-8296-6] [PMID] [PMCID]
46. Lee EH, Lee YW, Lee KW, Nam M, Kim SH. A new comprehensive diabetes health literacy scale: Development and psychometric evaluation. Int J Nurs Stud. 2018;88:1-8. [Link] [DOI:10.1016/j.ijnurstu.2018.08.002] [PMID]
47. Khodaveisi M, Peyghani Asl S, Purabdollah M, Tapak L, Cheragi F, Amini R. An investigation on the effect of health belief model-based education on preventive behaviors of diabetes type 2 in male adolescences. Health Educ Health Promot. 2020;8(4):209-16. [Persian] [Link]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.