Evidence map›Paper›PMID 36383487›Full record

Trial reportDiabetes care2023

Cost-Effectiveness of a Collaborative Care Model Among Patients With Type 2 Diabetes and Depression in India.

Karl M F Emmert-Fees, Michael Laxy, Shivani A Patel, Kavita Singh, Subramani Poongothai, Viswanathan Mohan, Lydia Chwastiak, K M Venkat Narayan, Rajesh Sagar, Aravind R Sosale and 4 more

Open access · greenAbstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 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

14 authors at 6 institutions in 3 countries.

Karl M F Emmert-FeesInstitute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.ORCID 0000-0003-2330-1079
Michael LaxyInstitute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
Shivani A PatelHubert Department of Global Health, Emory University, Atlanta, GA.
Kavita SinghCentre for Chronic Conditions and Injuries, Public Health Foundation of India and Centre for Chronic Disease Control, New Delhi, India.
Subramani PoongothaiMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
Viswanathan MohanMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
Lydia ChwastiakDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
K M Venkat NarayanHubert Department of Global Health, Emory University, Atlanta, GA.
Rajesh SagarDepartment of Psychiatry, All India Institute of Medical Sciences, New Delhi, India.
Aravind R SosaleDiabetes Care and Research Center, DIACON Hospital, Bangalore, Karnataka, India.
Ranjit Mohan AnjanaMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
Gumpeny R SridharEndocrine and Diabetes Centre, Visakhapatnam, India.
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi.
Mohammed K AliHubert Department of Global Health, Emory University, Atlanta, GA.
Emory University · USMadras Diabetes Research Foundation · INAll India Institute of Medical Sciences · INCentre for Chronic Disease Control · INDiacon Hospital · INUniversity of Washington · US

Funding

Integrated Care for Co-morbid Depression and Diabetes in IndiaR01MH100390 · NIMH · EMORY UNIVERSITY · PI ALI, MOHAMMED KUMAIL, CHWASTIAK, LYDIA ANN · 2013 to 2017
$2.4M
Developing and testing Collaborative Quality ImProvement initiative (C-QIP) for prevention of cardiovascular disease in IndiaK43TW011164 · FIC · PUBLIC HEALTH FOUNDATION OF INDIA · PI SINGH, KAVITA · 2019 to 2023
$342k
FIC NIH HHS K43 TW011164NIMH NIH HHS R01 MH100390
6 · The paper itself

Abstract

objectiveTo assess the cost-effectiveness of collaborative versus usual care in adults with poorly controlled type 2 diabetes and depression in India. RESEARCH DESIGN AND

methodsWe performed a within-trial cost-effectiveness analysis of a 24-month parallel, open-label, pragmatic randomized clinical trial at four urban clinics in India from multipayer and societal perspectives. The trial randomly assigned 404 patients with poorly controlled type 2 diabetes (HbA1c ≥8.0%, systolic blood pressure ≥140 mmHg, or LDL cholesterol ≥130 mg/dL) and depressive symptoms (9-item Patient Health Questionnaire score ≥10) to collaborative care (support from nonphysician care coordinators, electronic registers, and specialist-supported case review) for 12 months, followed by 12 months of usual care or 24 months of usual care. We calculated incremental cost-effectiveness ratios (ICERs) in Indian rupees (INR) and international dollars (Int'l-$) and the probability of cost-effectiveness using quality-adjusted life-years (QALYs) and depression-free days (DFDs).

resultsFrom a multipayer perspective, collaborative care costed an additional INR309,558 (Int'l-$15,344) per QALY and an additional INR290.2 (Int'l-$14.4) per DFD gained compared with usual care. The probability of cost-effectiveness was 56.4% using a willingness to pay of INR336,000 (Int'l-$16,654) per QALY (approximately three times per-capita gross domestic product). The willingness to pay per DFD to achieve a probability of cost-effectiveness >95% was INR401.6 (Int'l-$19.9). From a societal perspective, cost-effectiveness was marginally lower. In sensitivity analyses, integrating collaborative care in clinical workflows reduced incremental costs by ∼47% (ICER 162,689 per QALY, cost-effectiveness probability 89.4%), but cost-effectiveness decreased when adjusting for baseline values.

conclusionsCollaborative care for patients with type 2 diabetes and depression in urban India can be cost-effective, especially when integrated in clinical workflows. Long-term cost-effectiveness might be more favorable. Scalability across lower- and middle-income country settings depends on heterogeneous contextual factors.

Indexed as

Depressive DisorderDiabetes Mellitus, Type 2AdultCost-Benefit AnalysisHumansIndiaPrimary Health CareQuality-Adjusted Life Years

Identifiers

PMID36383487
PMCPMC9797643
OpenAlexW4309165149

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.