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

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

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BORIS DOI
10.48350/173554
Date of Publication
November 2022
Publication Type
Article
Division/Institute

Institut für Sozial- ...

Contributor
Tlali, Mpho
Scheibe, Andrew
Ruffieux, Yannorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Cornell, Morna
Wettstein, Anja Elisabeth
Institut für Sozial- und Präventivmedizin (ISPM)
Egger, Matthiasorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Davies, Mary-Ann
Maartens, Gary
Johnson, Leigh F
Haas, Andreasorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Subject(s)

600 - Technology::610...

300 - Social sciences...

Series
International journal of drug policy
ISSN or ISBN (if monograph)
1873-4758
Publisher
Elsevier
Language
English
Publisher DOI
10.1016/j.drugpo.2022.103853
PubMed ID
36202041
Uncontrolled Keywords

Mortality Opioid agon...

Description
BACKGROUND

The 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.

METHODS

We 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.

RESULTS

Of 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.

CONCLUSIONS

The 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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/87928
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FileFile TypeFormatSizeLicensePublisher/Copright statementContent
Tlali_IntJDrugPolicy_2022_AAM.pdfAdobe PDF506.23 KBAttribution-NonCommercial-NoDerivatives (CC BY-NC-ND 4.0)published restricted
1-s2.0-S0955395922002699-main.pdfAdobe PDF538.45 KBpublisheracceptedOpen
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