Evidence map›Paper›PMID 36202041›Full record

ArticleThe International journal on drug policy2022

Diagnosis and treatment of opioid-related disorders in a South African private sector medical insurance scheme: A cohort study.

Mpho Tlali, Andrew Scheibe, Yann Ruffieux, Morna Cornell, Anja E Wettstein, Matthias Egger, Mary-Ann Davies, Gary Maartens, Leigh F Johnson, Andreas D Haas

Open access · bronzeAbstract read
In one paragraph

Article in The International journal on drug policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pilot of Methadone for Recently Incarcerated People with Human Immunodeficiency Virus and Opioid Use in South Africa.Journal of correctional health care : the official journal of the National Commission on Correctional Health Care · 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 at 3 institutions in 3 countries.

Mpho TlaliCentre for Infectious Disease Epidemiology & Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa. Electronic address: mpho.tlali@uct.ac.za.
Andrew ScheibeUrban Futures Centre, Steve Biko Campus, Durban University of Technology, Durban, South Africa; TB HIV Care, 7th Floor, 11 Adderley Street, Cape Town, South Africa; Community Oriented Primary Care Research Unit, Department of Family Medicine, University of Pretoria, Pretoria, South Africa.
Yann RuffieuxInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Morna CornellCentre for Infectious Disease Epidemiology & Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Anja E WettsteinInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Graduate School of Health Sciences, University of Bern, Bern, Switzerland.
Matthias EggerCentre for Infectious Disease Epidemiology & Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Mary-Ann DaviesCentre for Infectious Disease Epidemiology & Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Leigh F JohnsonCentre for Infectious Disease Epidemiology & Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Andreas D HaasInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
University of Cape Town · ZAUniversity of Bern · CHDurban University of Technology · ZA

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

backgroundThe use of opioids is increasing globally, but data from low- and middle-income countries on opioid-related mental and behavioural disorders (hereafter referred to as opioid-related disorders) are scarce. This study examines the incidence of opioid-related disorders, opioid agonist use, and excess mortality among persons with opioid-related disorders in South Africa's private healthcare sector.

methodsWe analysed longitudinal data of beneficiaries (≥ 11 years) of a South African medical insurance scheme using reimbursement claims from Jan 1, 2011, to Jul 1, 2020. Beneficiaries were classified as having an opioid-related disorder if they received an opioid agonist (buprenorphine or methadone) or an ICD-10 diagnosis for harmful opioid use (F11.1), opioid dependence or withdrawal (F11.2-4), or an unspecified or other opioid-related disorder (F11.0, F11.5-9). We calculated adjusted hazard ratios (aHR) for factors associated with opioid-related disorders, estimated the cumulative incidence of opioid agonist use after receiving an ICD-10 diagnosis for opioid dependence or withdrawal, and examined excess mortality among beneficiaries with opioid-related disorders.

resultsOf 1,251,458 beneficiaries, 1286 (0.1%) had opioid-related disorders. Between 2011 and 2020, the incidence of opioid-related disorders increased by 12% (95% CI 9%-15%) per year. Men, young adults in their twenties, and beneficiaries with co-morbid mental health or other substance use disorders were at increased risk of opioid-related disorders. The cumulative incidence of opioid agonist use among beneficiaries who received an ICD-10 diagnosis for opioid dependence or withdrawal was 18.0% (95% CI 14.0-22.4) 3 years after diagnosis. After adjusting for age, sex, year, medical insurance coverage, and population group, opioid-related disorders were associated with an increased risk of mortality (aHR 2.28, 95% CI 1.84-2.82). Opioid-related disorders were associated with a 7.8-year shorter life expectancy.

conclusionsThe incidence of people diagnosed with or treated for an opioid-related disorder in the private sector is increasing rapidly. People with opioid-related disorders are a vulnerable population with substantial psychiatric comorbidity who often die prematurely. Evidence-based management of opioid-related disorders is urgently needed to improve the health outcomes of people with opioid-related disorders.

Indexed as

BuprenorphineInsuranceOpioid-Related DisordersAnalgesics, OpioidCohort StudiesHumansMaleMethadonePrivate SectorSouth AfricaYoung AdultAnalgesics, OpioidBuprenorphineMethadoneMortalityOpioid agonist therapyOpioid substitution therapyOpioid use disordersPrivate sectorSouth Africa

Identifiers

PMID36202041
PMCPMC9884995
OpenAlexW4300773885

What OpenQuestion holds

Textmetadata
LicenceTDM
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.