Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Tlali M

PROVIDER: S-EPMC9884995 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

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

Tlali Mpho M Scheibe Andrew A Ruffieux Yann Y Cornell Morna M Wettstein Anja E AE Egger Matthias M Davies Mary-Ann MA Maartens Gary G Johnson Leigh F LF Haas Andreas D AD

The International journal on drug policy 20221003

<h4>Background</h4>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.<h4>Methods</h4>We analysed longitudinal data of beneficiaries (≥ 11 years) of a Sou ...[more]

PMID: 36202041

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Project description:BackgroundHealth literacy (HL) is crucial for effective healthcare utilization, but its relationship with private health insurance (PHI) enrollment and medical expenditure in South Korea remains unexplored.ObjectivesThis study aimed to examine the associations between HL, PHI enrollment, and annual out-of-pocket (OOP) medical expenditure in South Korea's universal healthcare system.MethodsUsing data from the 2021 Korea Health Panel Study, we analyzed 5,469 participants aged 19-65. Logistic and multinomial logistic regression models were employed to assess factors influencing PHI enrollment. A Gamma GLM with a log- link function was used to examine the relationship between HL, PHI status, and OOP medical expenditure.ResultsAmong participants, 70.05% had indemnity insurance coverage, and 88.02% held at least one PHI policy. Individuals with sufficient HL showed higher indemnity insurance enrollment (71.47%) compared to those with inadequate HL (63.17%). In unadjusted analyses, those with sufficient HL were more likely to have indemnity insurance (OR = 1.46, 95% CI: 1.19-1.80) and PHI policies. However, after adjusting for sociodemographic and health-related factors, these associations became non-significant. Individuals with indemnity insurance spent 36% more on OOP medical expenditure compared to those without (p < 0.01), and OOP medical expenditure increased with the number of insurance policies (39.1%, 71.6%, and 107.5% higher for one, two, and three or more policies, respectively, all p < 0.01). Those with sufficient HL spent 18.9% less on OOP medical expenditure compared to those with inadequate HL (p < 0.01). However, after adjusting for other variables, the coefficients lost statistical significance. After adjusting for other variables, higher education levels were associated with lower OOP medical expenditure.ConclusionsWhile HL initially showed an association with PHI enrollment and reduced OOP medical expenditure, these relationships became non-significant after adjusting for socioeconomic and health-related factors. Higher education levels were associated with lower OOP medical expenditure, suggesting that educational attainment may better explain the observed HL effects. The positive association between PHI and OOP medical expenditure highlights the need for policy attention to ensure sustainable healthcare financing and appropriate medical service utilization in Korea's healthcare system.

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Project description:Importance:Although opioids can be effective medications in certain situations, they are associated with harms, including opioid use disorder and overdose. Studies have revealed unexplained prescribing variation and prescribing mismatched with patient-reported pain for many indications. Objective:To summarize opioid prescribing frequency, dosages, and durations, stratified across numerous painful medical indications. Design, Setting, and Participants:Retrospective cross-sectional analysis of 2017 US administrative claims data among outpatient clinical settings, including postsurgical discharge. Participants had any of 41 different indications associated with nonsurgical acute or chronic pain or postsurgical pain or pain associated with sickle cell disease or active cancer and were enrolled in either private insurance (including Medicare Advantage) in the OptumLabs Data Warehouse data set (n = 18 016 259) or Medicaid in the IBM MarketScan Multi-State Medicaid Database (n = 11 453 392). OptumLabs data were analyzed from October 2018 to March 2019; MarketScan data were analyzed from January to April 2019. Exposures:Nonsurgical acute or chronic pain or postsurgical pain; pain related to sickle cell disease or active cancer. Main Outcomes and Measures:Indication-specific opioid prescribing rates; days' supply per prescription; daily opioid dosage in morphine milligram equivalents; and for chronic pain indications, the number of opioid prescriptions. Results:During the study period, of 18 016 259 eligible patients with private insurance, the mean (95% CI) age was 42.7 (42.7-42.7) years, and 50.3% were female; of 11 453 392 eligible Medicaid enrollees, the mean (95% CI) age was 20.4 (20.4-20.4) years, and 56.1% were female. A pain-related indication under study occurred in at least 1 visit among 6 380 694 patients with private insurance (35.4%) and 3 169 831 Medicaid enrollees (27.7%); 2 270 596 (35.6% of 6 380 694) privately insured patients and 1 126 508 (35.5% of 3 169 831) Medicaid enrollees had 1 or more opioid prescriptions. Nonsurgical acute pain opioid prescribing rates were lowest for acute migraines (privately insured, 4.6% of visits; Medicaid, 6.6%) and highest for rib fractures (privately insured, 44.8% of visits; Medicaid, 56.3%), with variable days' supply but similar daily dosage across most indications. Opioid prescribing for a given chronic pain indication varied depending on a patient's opioid use history. Days' supply for postoperative prescriptions was longest for combined spinal decompression and fusion (privately insured, 9.5 days [95% CI, 9.4-9.7 days]) or spinal fusion (Medicaid, 9.1 days [95% CI, 8.9-9.2 days]) and was shortest for vaginal delivery (privately insured, 4.1 days [95% CI, 4.1-4.1 days] vs Medicaid, 4.2 days [95% CI, 4.2-4.2 days]). Conclusions and Relevance:Indication-specific opioid prescribing rates were not always aligned with existing guidelines. Potential inconsistencies between prescribing practice and clinical recommendations, such as for acute and chronic back pain, highlight opportunities to enhance pain management and patient safety.

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

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