Evidence map›Paper›PMID 31410044›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2019

Diabetes care in public health facilities in India: a situational analysis using a mixed methods approach.

Jaya Prasad Tripathy, Karuna D Sagili, Soundappan Kathirvel, Archana Trivedi, Sharath Burugina Nagaraja, Om Prakash Bera, Kiran Kumar Reddy, Srinath Satyanarayana, Ashwani Khanna, Sarabjit S Chadha

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Heterogeneity of type 2 diabetes in rural India.Frontiers in endocrinology · 2025
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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

10 authors.

Jaya Prasad TripathyCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.
Karuna D SagiliCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.
Soundappan KathirvelCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.
Archana TrivediCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.
Sharath Burugina NagarajaDepartment of Community Medicine, Employees State Insurance Corporation Medical College, Post Graduate Institute of Medical Sciences and Research, Bangalore, India.
Om Prakash BeraCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.
Kiran Kumar ReddyCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.
Srinath SatyanarayanaCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.
Ashwani KhannaDepartment of Health and Family Welfare, Government of Delhi, New Delhi, India.
Sarabjit S ChadhaCentre for Operational Research, International Union Against Tuberculosis and Lung Disease, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeak public health systems have been identified as major bottlenecks in providing good quality diabetic care in low- and middle-income countries. METHODOLOGY: The present study assessed diabetic care services at public health facilities across six districts in three states of India using a mixed methods approach. The study described diabetes care services available at public health facilities and identified challenges and solutions needed to tackle them. The quantitative component included assessment of availability of services and resources, whilst the qualitative component was comprised of semistructured interviews with health care providers and persons with diabetes to understand the pathway of care.

resultsA total of 30 health facilities were visited: five tertiary; eight secondary and 17 primary health facilities. Patient clinical records were not maintained at the facilities; the onus was on patients to keep their own clinical records. All had the facility for blood glucose measurement, but HbA1c estimation was available only at tertiary centers. None of the primary health centers in the three states provided HbA1c estimation, lipid examination, or foot care. Lifestyle modification support was available in only a few tertiary facilities. Antidiabetic drugs (biguanides and sulphonyl ureas) were available in most facilities, and given for 14 days. Insulin and statins were available only at secondary and tertiary care centers. Forty-two physicians were interviewed and poor follow-up, patient overload, and lack of specialized training were the major barriers that emerged from the interview responses. A total of 37 patients were interviewed. Patients had to visit tertiary facilities for drugs and routine follow-up, thereby congesting the facilities. There was no formal referral or follow-up mechanism to link patients to decentralized facilities.

conclusionThere is a wide gap between effective diabetes management practices and their implementation. There should be a greater role of secondary care facilities in follow-up investigations and screening for complications. A holistic diabetic care package with a robust recording and cohort monitoring system and adequate referral mechanism is needed.

Indexed as

diabetes mellitusmixed methodsnoncommunicable diseaseprimary carescreening

Identifiers

PMID31410044
PMCPMC6650449

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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.