According to the US Department of Health and Human Services, 91 million adults live in mental health professional shortage areas and 10 million individuals have serious mental illness (SMI). This ...study examines how the supply of psychiatrists, severity of mental illness, out-of-pocket costs, and health insurance type influence patients’ decisions to receive treatment and the type of provider chosen. Analyses using 2012–2013 MarketScan Commercial Claims data showed that patients residing in an area with few psychiatrists per capita had a higher predicted probability of not receiving follow-up care (46.4%) compared with patients residing in an area with more psychiatrists per capita (42.5%), and those in low-psychiatrist-supply areas had a higher predicted probability of receiving prescription medication only (10.2 vs 7.6%). Patients with SMI were more likely than those without SMI to obtain treatment. A $25 increase in out-of-pocket costs had marginal impact on patients’ treatment choices.
Importance The increase in rural hospital closures has strained access to inpatient care in rural communities. It is important to understand the association between hospital system affiliation and ...access to care in these communities to inform policy on this issue. Objective To examine the association between affiliation and rural hospital closure. Design, Setting, and Participants This cohort study used survival models with a time-dependent variable for affiliation vs independent status to assess risk of closure among a national cohort of US rural hospitals from January 2007 through December 2019. Data analysis was conducted from March to October 2021. Hospital affiliations were identified from the American Hospital Association Annual Survey and Irving Levin Associates and closures from the University of North Carolina Sheps Center (Chapel Hill). Additional covariates came from the Healthcare Cost and Utilization Project State Inpatient Databases and other national sources. Exposures Affiliation with another hospital or multihospital health system. Main Outcomes and Measures Closure was the main outcome. The models included hospital, market, and utilization characteristics and were stratified by financial distress in 2007. Results Among 2237 rural hospitals operating in 2007, 140 (6.3%) had closed by 2019. The proportion of rural hospitals that were independent decreased from 68.9% in 2007 to 47.0% in 2019; the proportion that were affiliated increased from 31.1% to 46.7%. Among financially distressed hospitals in 2007, affiliation was associated with lower risk of closure compared with being independent (adjusted hazard ratio aHR, 0.49; 95% CI, 0.26-0.92). Conversely, among hospitals that were financially stable in 2007, affiliation was associated with higher risk of closure compared with being independent (aHR, 2.36; 95% CI, 1.20-4.62). For-profit ownership was also strongly associated with closure for hospitals that were financially stable in 2007 (aHR, 4.08; 95% CI, 1.86-8.97). Conclusions and Relevance The results of this cohort study suggest that affiliations may be associated with lower risk of closure for some rural hospitals in financial distress. However, among initially financially stable hospitals, an increased risk of closure for hospitals associated with affiliation and proprietary ownership raises concerns about the association of affiliation with closures in some circumstances. Policy interventions to stabilize inpatient care in rural areas should account for these findings.
Exploring Fun With Catherine Price Henke, Rachel Mosher; Price, Catherine
American journal of health promotion,
02/2024, Letnik:
38, Številka:
2
Journal Article, Transcript
Introduction
In response to the US opioid crisis, interventions are being implemented to lower opioid prescribing to reduce opioid misuse and overdose. As opioid prescribing falls, opioid misuse may ...shift from prescriptions to other, possibly illicit, sources. We examined how the percentage of patients with an opioid use disorder (OUD) diagnosis in a given year without a current opioid prescription changed over a decade among commercially insured enrollees and Medicaid beneficiaries. We also examined how the percentages differed by enrollee demographic factors.
Methods
We used commercial and Medicaid claims from the IBM MarketScan® databases from 2005 to 2015 to identify enrollees with and without current opioid prescriptions who have been diagnosed with OUD. We measured the percentage of enrollees with OUD without a current opioid prescription by year and demographic factors.
Results
We identified 99,396 enrollee-years with OUD covered by commercial insurance and 60,492 enrollee-years with OUD covered by Medicaid. Among enrollees with OUD, the percentage without a current opioid prescription increased from 37% in 2005 to 49% in 2012 before falling back to 39% in 2015 in the commercial population, and increased from 32% in 2005 to 38% in 2015 in the Medicaid population. Differences in percentages were observed by age, sex, race, and region, particularly among young people where 70 to 89% had OUD without a current prescription.
Conclusions
Most enrollees with OUD in the data had current opioid prescriptions, suggesting that continuing efforts to reduce misuse of prescribed opioids among patients with prescriptions may be effective. However, a substantial percentage of enrollees with OUD may be obtaining opioids via other, likely illegitimate, channels, particularly younger people, which suggests an opportunity for targeted efforts to reduce opioid diversion.
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