Evidence map›Paper›PMID 23680083›Full record

ArticleGlobalization and health2013

Screening for diabetes and hypertension in a rural low income setting in western Kenya utilizing home-based and community-based strategies.

Sonak D Pastakia, Shamim M Ali, Jemima H Kamano, Constantine O Akwanalo, Samson K Ndege, Victor L Buckwalter, Rajesh Vedanthan, Gerald S Bloomfield

Open access · goldAbstract read
In one paragraph

Article in Globalization and health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 5 pooled it
4.3field-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

53 citing papers in PubMed, 5 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Sonak D PastakiaPurdue University College of Pharmacy, W7555 Myers Building, 1001 W. 10th Street, Indianapolis, Indiana, USA. spastaki@gmail.com
Shamim M Ali
Jemima H Kamano
Constantine O Akwanalo
Samson K Ndege
Victor L Buckwalter
Rajesh Vedanthan
Gerald S Bloomfield
Moi University · KEAMPATH · KEIcahn School of Medicine at Mount Sinai · USUniversity of Indianapolis · US

Funding

Nurse Management of Hypertension in Rural Western KenyaK01TW009218 · FIC · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VEDANTHAN, RAJESH · 2011 to 2015
$638k
Risk Factors for Atherosclerosis among Patients with Heart Failure in KenyaK01TW008407 · FIC · DUKE UNIVERSITY · PI BLOOMFIELD, GERALD SAMUEL · 2011 to 2014
$490k
FIC NIH HHS 5K01TW009218-02FIC NIH HHS K01 TW008407FIC NIH HHS K01TW008407FIC NIH HHS K01 TW009218PEPFAR
6 · The paper itself

Abstract

backgroundThe burdens of hypertension and diabetes are increasing in low- and middle-income countries (LMICs). It is important to identify patients with these conditions early in the disease process. The goal of this study, therefore, is to compare community- versus home-based screening for hypertension and diabetes in Kenya.

methodsThis was a feasibility study conducted by the Academic Model Providing Access to Healthcare (AMPATH) program in Webuye, a town in western Kenya. Home-based (door-to-door) screening occurred in March 2010 and community-based screening in November 2011. HIV counselors were trained to screen for diabetes and hypertension in the home-based screening with local district hospital based staff conducting the community-based screening. Participants >18 years old qualified for screening in both groups. Counselors referred all participants with a systolic blood pressure (SBP) ≥ 160 mmHg and/or a random blood glucose ≥ 7 mmol/L (126 mg/dL) to a local clinic for follow-up. Differences in likelihood of screening positive between the two strategies were compared using Fischer's Exact Test. Logistic regression models were used to identify factors associated with the likelihood of following-up after a positive screening.

resultsThere were 236 participants in home-based screening: 13 (6%) had a SBP ≥ 160 mmHg, and 54 (23%) had a random glucose ≥ 7 mmol/L. There were 346 participants in community-based screening: 35 (10%) had a SBP ≥ 160 mmHg, and 27 (8%) had a random glucose ≥ 7 mmol/L. Participants in community-based screening were twice as likely to screen positive for hypertension compared to home-based screening (OR=1.93, P=0.06). In contrast, participants were 3.5 times more likely to screen positive for a random blood glucose ≥ 7 mmol/L with home-based screening (OR=3.51, P<0.01). Rates for following-up at the clinic after a positive screen were low for both groups with 31% of patients with an elevated SBP returning for confirmation in both the community-based and home-based group (P=1.0). Follow-up after a random glucose was also low with 23% returning in the home-based group and 22% in the community-based group (P=1.0).

conclusionCommunity- or home-based screening for diabetes and hypertension in LMICs is feasible. Due to low rates of follow-up, screening efforts in rural settings should focus on linking cases to care.

Indexed as

PovertyAdultCommunity Health ServicesDiabetes MellitusFeasibility StudiesHome Care ServicesHumansHypertensionKenyaMass ScreeningMiddle AgedPilot ProjectsRural Health Services

Identifiers

PMID23680083
PMCPMC3662603
OpenAlexW2105672586

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.