Evidence map›Paper›PMID 27145835›Full record

ArticleInternational journal for equity in health2016

A survey on socioeconomic determinants of diabetes mellitus management in a lower middle income setting.

Ambepitiyawaduge Pubudu De Silva, Sudirikku Hennadige Padmal De Silva, Rashan Haniffa, Isurujith Kongala Liyanage, Kosala Saroj Amarasiri Jayasinghe, Prasad Katulanda, Chandrika Neelakanthi Wijeratne, Sumedha Wijeratne, Lalini Chandika Rajapakse

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Article in International journal for equity in health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

9 authors.

Ambepitiyawaduge Pubudu De SilvaDepartment of Community Medicine, Faculty of Medicine, University of Colombo, No. 25, P.O. Box 271, Kynsey Road, Colombo 08, Sri Lanka. pubududesilva@ymail.com.
Sudirikku Hennadige Padmal De SilvaDepartment of Community Medicine, Faculty of Medicine, University of Colombo, No. 25, P.O. Box 271, Kynsey Road, Colombo 08, Sri Lanka.
Rashan HaniffaCentre for Tropical Medicine, University of Oxford, Oxford, UK.
Isurujith Kongala LiyanageDepartment of Para Clinical Sciences, Faculty of Medicine, General Sir John Kotelawala University, Colombo, Sri Lanka.
Kosala Saroj Amarasiri JayasingheDepartment of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Prasad KatulandaDepartment of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Chandrika Neelakanthi WijeratneDepartment of Obstetrics & Gynaecology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Sumedha WijeratneDepartment of Obstetrics & Gynaecology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Lalini Chandika RajapakseDepartment of Community Medicine, Faculty of Medicine, University of Colombo, No. 25, P.O. Box 271, Kynsey Road, Colombo 08, Sri Lanka.

Funding

Building the Asian NCoD Research Network for Regional Research CapacityD43TW008332 · FIC · MONASH UNIVERSITY · PI FISHER, EDWIN B, KADIR, KHALID · 2010 to 2014
$1.0M
FIC NIH HHS D43 TW008332FIC NIH HHS D43TW008332
6 · The paper itself

Abstract

backgroundInformation on socioeconomic determinants in the management of diabetes mellitus is scarce in lower middle income countries. The aim of this study is to describe the socioeconomic determinants of management and complications of diabetes mellitus in a lower middle income setting.

methodsCross sectional descriptive study on a stratified random sample of 1300 individuals was conducted by an interviewer administered questionnaire, clinical examinations and blood investigations. A single fasting venous blood sugar of ≥126 mg/dl was considered diagnostic of new diabetics and poor control of diabetes mellitus as HbA1C > 6.5 %.

resultsThere were 202 (14.7 %) with diabetes mellitus. Poor control was seen in 130 (90.7 %) while 71 (49.6 %) were not on regular treatment. Highest proportions of poor control and not on regular medication were observed in estate sector, poorest social status category and poorest geographical area. The annual HbA1C, microalbuminuria, retinal and neuropathy examination were performed in less than 6.0 %. Social gradient not observed in the management lapses. Most (76.6 %) had accessed private sector while those in estate (58.1 %) accessed the state system. The microvascular complications of retinopathy, neuropathy and microalbuminuria observed in 11.1 %, 79.3 % and 54.5 % respectively. Among the macrovascular diseases, angina, ischaemic heart disease and peripheral arterial disease seen in 15.5 %, 15.7 % and 5.5 % respectively. These complications do not show a social gradient.

conclusionsDiabetes mellitus patients, irrespective of their socioeconomic status, are poorly managed and have high rates of complications. Most depend on the private healthcare system with overall poor access to care in the estate sector.

Indexed as

Epidemiologic FactorsSocioeconomic FactorsAdultAgedBlood GlucoseCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleMiddle AgedPovertySurveys and QuestionnairesBlood GlucoseGlycated HemoglobinDiabetes mellitus complicationsDiabetes mellitus managementSocioeconomic determinants

Identifiers

PMID27145835
PMCPMC4857262

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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.