Volume 8, Issue 4 (December 2021)                   J Educ Community Health 2021, 8(4): 237-243 | Back to browse issues page

Ethics code: IR.ABADANUMS.REC.1394.56


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Mahboubi M, Mirzaei-Alavijeh M, Hosseini S N, Motlagh M E, Saadatfar A, Fattahi M et al . Psychometric Analysis of Hypertension Self-Management Behaviors Questionnaire; an Application of Intervention Mapping Approach in Questionnaire Development. J Educ Community Health. 2021; 8 (4) :237-243
URL: http://jech.umsha.ac.ir/article-1-1248-en.html
1- Abadan University of Medical Sciences, Abadan, Iran
2- Social Development & Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Ministry of Health and Medical Sciences, Tehran, Iran
4- Department of Pediatrics, Faculty Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
5- Imam Hossein Hospital, Kermanshah, Iran
6- Social Development & Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran , f_jalilian@yahoo.com
Abstract:   (242 Views)
Aims: High blood pressure is one of the common main preventable risk factors for many diseases. This study aimed to psychometric properties of the cognitive determinants of hypertension self-management questionnaire among Iranian hypertensive patients based on the Intervention Mapping approach.
Instrument & Methods: This psychometric study was conducted in Abadan in 2019. Content Validity Ratio and Content Validity Index of the questionnaire were calculated by ten hypertensive patients and 12 experts. Construct validity was investigated using Classical Item Analysis and Exploratory Factor Analysis by the participation of 315 hypertensive patients. The internal consistency was measured by using Cronbach’s Coefficient Alpha of the various cognitive determinants of the questionnaire. Data were analyzed by SPSS 16.
Findings: The mean age of patients was 57.53±11.30 years, ranging from 30 to 70 years. Five factors (attitude, outcome expectation, self-efficacy, subjective norms, and barriers) and behavior were confirmed. The Kaiser-Meyer Olkin test was generally satisfactory (calculated: 0.817). The factors explained 61.86% of the variance of the hypothesized model. Estimated reliability using alpha Cronbach coefficient for each cognitive determinants were as follows: attitude (α=0.75), outcome expectations (α=0.79), self-efficacy (α=0.80), subjective norms (α=0.85), barriers (α=0.88), behavior (α=0.82).
Conclusion: The application of the intervention mapping approach in questionnaire development offers a useful questionnaire to measurement self-management hypertension behaviors, and psychometric analysis shows that it could be useful for related planning programs.
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Type of Study: Research Article | Subject: Self-care of Chronic Diseases
Received: 2020/12/27 | Accepted: 2021/06/22

References
1. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet. 2005;365(9455):217-23. [PubMed]
2. Fuchs FD, Whelton PK. High blood pressure and cardiovascular disease. Hypertension. 2020;75:285-92. [Full text]
3. Goudarzi H, Barati M, Bashirian S, Moeini B. Determinants of medication adherence among hypertensive patients using the Pender's health promotion model. J Educ Health Promot. 2020;9:89. [PubMed]
4. Baliga SS, Gopakumaran PS, Katti SM, Mallapur MD. Treatment seeking behavior and health care expenditure incurred for hypertension among elderly in urban slums of Belgaum City. National J Community Med. 2013;4(2):227-30. [Full text]
5. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014;311(5):507-20. [PubMed]
6. Yang SO, Jeong GH, Kim SJ, Lee SH. Correlates of self-care behaviors among low-income elderly women with hypertension in South Korea. J Obstet Gynecol Neonatal Nurs 2014;43(1):97-106. [PubMed]
7. Lacruz ME, Kluttig A, Hartwig S, Loer M, Tiller D, Greiser KH, et al. Prevalence and incidence of hypertension in the general adult population: results of the CARLA-Cohort study. Medicine (Baltimore). 2015;94(22):e952 [PubMed]
8. Yusufali AM, Khatib R, Islam S, Alhabib KF, Bahonar A, Swidan HM, et al. Prevalence, awareness, treatment and control of hypertension in four Middle East countries. J Hypertens. 2017;35(7):1457-64. [PubMed]
9. Araújo S, Rouxinol-Dias A, Mesquita-Bastos J, Silva J, Barbosa L, Polónia J. Ambulatory blood pressure monitoring profiles in a cross-sectional analysis of a large database of normotensive and true or suspected hypertensive patients. Rev Port Cardiol. 2018;37(4):319-27. [Portuguese] [PubMed]
10. Gupta S, Geeta K, Mehto G. Self-care behaviour practices and related factors among hypertensive men and women in Delhi. Asian J Multidiscipl Stud 2016;4(1):2348-7186.
11. McManus RJ, Mant J, Bray EP, Holder R, Jones MI, Greenfield S, et al. Telemonitoring and self-management in the control of hypertension (TASMINH2): a randomised controlled trial. Lancet. 2010;376(9736):163-72. [PubMed]
12. Zhang Y, Liu S, Sheng X, Lou J, Fu H, Sun X. Evaluation of a community based hypertension self-management model with general practitioners. Int J Health Plann Manage. 2019;34(3):960-74. [PubMed]
13. Alessa T, Hawley MS, Hock ES, de Witte L. Smartphone apps to support self-management of hypertension: review and content analysis. JMIR Mhealth Uhealth. 2019;7(5):e13645. [PubMed]
14. Barati M, Bayat F, Asadi Z A, Afshari Moshir F, Afshari M. Relationship between Health Literacy and Self-Care Behaviors in Hypertensive Patients. J Educ Community Health. 2020;(2):89-96 [Persian] [Full text]
15. Olayinka OD, Moore SM, Stange KC. Pilot test of an appreciative inquiry intervention in hypertension self-management. West J Nurs Res. 2020;42(7):543-53. [PubMed]
16. Kok G. A practical guide to effective behavior change. Eur J Health Psychol. 2014;16(5):156-70. [Full text]
17. Kok G, Schaalma H, Ruiter RA, Van Empelen P, Brug J. Intervention mapping: protocol for applying health psychology theory to prevention programmes. J Health Psychol. 2004;9(1):85-98. [PubMed]
18. Cornélio ME, Godin G, Rodrigues R, Agondi R, Spana T, Gallani MC. Development of the SALdável programme to reduce salt intake among hypertensive Brazilian women: an intervention mapping approach. Eur J Cardiovasc Nurs. 2013;12(4):385-92. [PubMed]
19. Nikiéma L, Sossa C, Agueh VD, Magloire D, Clemence M, Azandjeme CS, et al. Determinants of adherence to recommendations of the dietary approach to stop hypertension in adults with hypertension treated in a hospital in Benin. Univ J Public Health. 2015;3(5):213-9. [Full text]
20. Athilingam P, Clochesy JM, Labrador MA. Intervention mapping approach in the design of an interactive mobile health application to improve self-care in heart failure. Comput Inform Nurs. 2018;36(2):90-7. [PubMed]
21. Mirzaei-Alavijeh M, Jouybari T, Jalilian F, Motlagh M, Jalilian F. Using intervention mapping approach to finding socio-cognitive determinants of diabetes preventive behaviors. J Prev Med Hyg. 2019;60(3):E237-42. [PubMed]
22. Mirzaei-Alavijeh M, Vaezi M, Jalilian F. Psychometric evaluation of a theory based colorectal cancer screening questionnaire with uptake of fecal occult blood test. GOVARESH. 2018;23(2):77-83. [Persian] [Full text]
23. Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health. 2007;30(4):459-67. [PubMed]
24. Ma C. An investigation of factors influencing self-care behaviors in young and middle-aged adults with hypertension based on a health belief model. Heart Lung. 2018;47(2):136-41. [PubMed]
25. Obirikorang Y, Obirikorang C, Acheampong E, OdameAnto E, Gyamfi D, Philip Segbefia S, et al. Predictors of noncompliance to antihypertensive therapy among hypertensive patients ghana:application of health belief model. Int J Hypertens. 2018;2018:4701097. [Full text]
26. Lewis LM, Askie P, Randleman S, Shelton-Dunston B. Medication adherence beliefs of community-dwelling hypertensive African Americans. J Cardiovasc Nurs. 2010;25(3):199-206. [PubMed]
27. Fongwa MN, Evangelista LS, Hays RD, Martins DS, Elashoff D, Cowan MJ, Morisky DE. Adherence treatment factors in hypertensive African American women. Vasc Health Risk Manag. 2008;4(1):157-66. [PubMed]
28. Ma C, Chen S, You L, Luo Z, Xing C. Development and psychometric evaluation of the Treatment Adherence Questionnaire for Patients with Hypertension. J Adv Nurs. 2012;68(6):1402-13. [PubMed]
29. Wicaksana AL, Wang ST. Psychometric testing of the Indonesian version of dietary sodium restriction questionnaire among patients with hypertension. Asian Nurs Res. 2018;12(4):279-85. [PubMed]
30. Broström A, Pakpour AH, Ulander M, Nilsen P. Development and psychometric evaluation of the Swedish propensity to achieve healthy lifestyle scale in patients with hypertension. J Clin Nurs. 2018;27(21-22):4040-9. [PubMed]

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