| Title |
Barriers Influencing Linkage to Hypertension Care in Kenya: Qualitative Analysis from the LARK Hypertension Study
|
|---|---|
| Published in |
Journal of General Internal Medicine, January 2016
|
| DOI | 10.1007/s11606-015-3566-1 |
| Pubmed ID | |
| Authors |
Violet Naanyu, Rajesh Vedanthan, Jemima H. Kamano, Jackson K. Rotich, Kennedy K. Lagat, Peninah Kiptoo, Claire Kofler, Kennedy K. Mutai, Gerald S. Bloomfield, Diana Menya, Sylvester Kimaiyo, Valentin Fuster, Carol R. Horowitz, Thomas S. Inui |
| Abstract |
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. To evaluate factors influencing linkage to hypertension care in rural western Kenya. Qualitative research study using a modified Health Belief Model that incorporates the impact of emotional and environmental factors on behavior. 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). 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 248 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 41 | 16% |
| Researcher | 28 | 11% |
| Student > Ph. D. Student | 22 | 9% |
| Student > Postgraduate | 20 | 8% |
| Student > Bachelor | 20 | 8% |
| Other | 49 | 20% |
| Unknown | 69 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 59 | 24% |
| Nursing and Health Professions | 49 | 20% |
| Social Sciences | 16 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 3% |
| Psychology | 7 | 3% |
| Other | 25 | 10% |
| Unknown | 85 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2020.
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#960,502
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Outputs from Journal of General Internal Medicine
#813
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#17,654
of 400,164 outputs
Outputs of similar age from Journal of General Internal Medicine
#7
of 48 outputs
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