Literature DB >> 26728782

Barriers Influencing Linkage to Hypertension Care in Kenya: Qualitative Analysis from the LARK Hypertension Study.

Violet Naanyu1,2,3, Rajesh Vedanthan4,5, Jemima H Kamano1,2,3, Jackson K Rotich2,3, Kennedy K Lagat2,3, Peninah Kiptoo2,3, Claire Kofler6,3, Kennedy K Mutai2,3, Gerald S Bloomfield3,7, Diana Menya1,2,3, Sylvester Kimaiyo1,2,3, Valentin Fuster6,3,8, Carol R Horowitz6,3, Thomas S Inui1,2,3,9,10.   

Abstract

BACKGROUND: Hypertension, the leading global risk factor for mortality, is characterized by low treatment and control rates in low- and middle-income countries. Poor linkage to hypertension care contributes to poor outcomes for patients. However, specific factors influencing linkage to hypertension care are not well known.
OBJECTIVE: To evaluate factors influencing linkage to hypertension care in rural western Kenya.
DESIGN: Qualitative research study using a modified Health Belief Model that incorporates the impact of emotional and environmental factors on behavior. PARTICIPANTS: Mabaraza (traditional community assembly) participants (n = 242) responded to an open invitation to residents in their respective communities. Focus groups, formed by purposive sampling, consisted of hypertensive individuals, at-large community members, and community health workers (n = 169). APPROACH: We performed content analysis of the transcripts with NVivo 10 software, using both deductive and inductive codes. We used a two-round Delphi method to rank the barriers identified in the content analysis. We selected factors using triangulation of frequency of codes and themes from the transcripts, in addition to the results of the Delphi exercise. Sociodemographic characteristics of participants were summarized using descriptive statistics. KEY
RESULTS: We identified 27 barriers to linkage to hypertension care, grouped into individual (cognitive and emotional) and environmental factors. Cognitive factors included the asymptomatic nature of hypertension and limited information. Emotional factors included fear of being a burden to the family and fear of being screened for stigmatized diseases such as HIV. Environmental factors were divided into physical (e.g. distance), socioeconomic (e.g. poverty), and health system factors (e.g. popularity of alternative therapies). The Delphi results were generally consistent with the findings from the content analysis.
CONCLUSIONS: Individual and environmental factors are barriers to linkage to hypertension care in rural western Kenya. Our analysis provides new insights and methodological approaches that may be relevant to other low-resource settings worldwide.

Entities:  

Keywords:  cardiovascular disease; global health; hypertension; qualitative research; socioeconomic factors

Mesh:

Year:  2016        PMID: 26728782      PMCID: PMC4762819          DOI: 10.1007/s11606-015-3566-1

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  29 in total

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2.  Global burden of hypertension: analysis of worldwide data.

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3.  Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries.

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Journal:  JAMA       Date:  2013-09-04       Impact factor: 56.272

4.  Assessment of hypertension control in a district of Mombasa, Kenya.

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Journal:  J Pharm Pharm Sci       Date:  2004-11-12       Impact factor: 2.327

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8.  Evaluating linkage to care for hypertension after community-based screening in rural Uganda.

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9.  Factors associated with appointment non-adherence among African-Americans with severe, poorly controlled hypertension.

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10.  Primary health care for hypertension by nurses in rural and urban sub-Saharan Africa.

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1.  International Perspectives on General Internal Medicine.

Authors:  Mitchell D Feldman
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Review 5.  HIV and Cardiovascular Disease: Update on Clinical Events, Special Populations, and Novel Biomarkers.

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10.  The Long and Winding Road: A Systematic Literature Review Conceptualising Pathways for Hypertension Care and Control in Low- and Middle-Income Countries.

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