Evidence map›Paper›PMID 26728782›Full record

ArticleJournal of general internal medicine2016

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

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 and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

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  17. Reducing Barriers to COVID-19 Vaccination Uptake: Community Ideas from Urban and Rural Kenya.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Violet NaanyuMoi University College of Health Sciences, Eldoret, Kenya.
Rajesh VedanthanIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1030, New York, NY, USA. rajesh.vedanthan@mssm.edu.
Jemima H KamanoMoi University College of Health Sciences, Eldoret, Kenya.
Jackson K RotichAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Kennedy K LagatAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Peninah KiptooAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Claire KoflerIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1030, New York, NY, USA.
Kennedy K MutaiAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Gerald S BloomfieldKenya Medical Research Institute/Centers for Disease Control Research and Public Health Collaboration, Center for Global Health Research, Kisumu, Kenya.
Diana MenyaMoi University College of Health Sciences, Eldoret, Kenya.
Sylvester KimaiyoMoi University College of Health Sciences, Eldoret, Kenya.
Valentin FusterIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1030, New York, NY, USA.
Carol R HorowitzIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1030, New York, NY, USA.
Thomas S InuiMoi University College of Health Sciences, Eldoret, Kenya.
AMPATH · KEKenya Medical Research Institute · KEIcahn School of Medicine at Mount Sinai · USIndiana University – Purdue University Indianapolis · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
MSHS Translational Science HubUL1TR001433 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROSALIND J · 2015 to 2019
$26.6M
Mount Sinai Institutes for Clinical and Translational SciencesUL1TR000067 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2012 to 2014
$16.5M
Disseminating Effective Community-Led Programs to Elimanate Diabetes DisparitiesR24MD001691 · NIMHD · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HOROWITZ, CAROL R · 2005 to 2015
$6.0M
Optimizing Linkage and Retention to Hypertension Care in Rural KenyaU01HL114200 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FUSTER, VALENTIN · 2012 to 2016
$2.1M
Nurse Management of Hypertension in Rural Western KenyaK01TW009218 · FIC · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VEDANTHAN, RAJESH · 2011 to 2015
$638k
FIC NIH HHS K01 TW009218FIC NIH HHS K01 TW 009218-05NCATS NIH HHS UL1 TR000067NCATS NIH HHS UL1 TR001433NHLBI NIH HHS 5U01HL114200NIDDK NIH HHS P30 DK020541NIMHD NIH HHS R24 MD001691
6 · The paper itself

Abstract

backgroundHypertension, 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.

objectiveTo evaluate factors influencing linkage to hypertension care in rural western Kenya.

designQualitative research study using a modified Health Belief Model that incorporates the impact of emotional and environmental factors on behavior.

participantsMabaraza (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

resultsWe 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.

conclusionsIndividual 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.

Indexed as

Rural PopulationAdultFemaleHealthcare DisparitiesHumansHypertensionKenyaMaleMiddle AgedPatient CarePilot ProjectsQuality of Health Carecardiovascular diseaseglobal healthhypertensionqualitative researchsocioeconomic factors

Identifiers

PMID26728782
PMCPMC4762819
OpenAlexW2253213976

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.