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1.
J Palliat Med ; 22(11): 1324-1330, 2019 11.
Article in English | MEDLINE | ID: mdl-31180268

ABSTRACT

Background: In 2004, Aetna, a national health insurer, launched the Aetna Compassionate Care Program (ACCP) targeting members diagnosed with an advanced illness with a view to increase access to palliative care and hospice services. Objective: The objective of this study is to evaluate the impact of ACCP on health care utilization and hospice enrollment among enrolled members. Methods: This was a retrospective cohort study comparing participants in ACCP to a matched control group using a propensity score method. The study group consisted of Aetna Medicare Advantage members who participated in the ACCP between January 2014 and June 2015. Potential control group members were those who were not identified by the predictive model nor were referred to the ACCP program through other means. The primary outcomes of interest were hospice use measured as percent of members electing hospice and median number of days in hospice; health care utilization and medical costs measured as rates and medical costs associated with acute inpatient admissions, emergency room, primary care, and specialty visits in the 30 and 90 days before death. Results: Participants in the ACCP program were 36% more likely to enroll in hospice (79% vs. 58%, p < 0.0001) and had reduced acute inpatient medical costs ($4169 vs. $5863, p < 0.0001) driven primarily by fewer inpatient admissions (860 vs. 1017, p < 0.0001) in the last 90 days of life. Conclusions: Advanced illness case management programs such as ACCP can improve access to hospice and improve patient outcomes while reducing unnecessary admissions in the last 90 days of life.


Subject(s)
Health Services Accessibility , Hospice and Palliative Care Nursing , Medicare Part C , Aged , Aged, 80 and over , Female , Health Expenditures , Humans , Male , Patient Acceptance of Health Care , Propensity Score , Retrospective Studies , Severity of Illness Index , United States
2.
BMJ ; 360: j5790, 2018 01 17.
Article in English | MEDLINE | ID: mdl-29343479

ABSTRACT

OBJECTIVE: To quantify the effects of varying opioid prescribing patterns after surgery on dependence, overdose, or abuse in an opioid naive population. DESIGN: Retrospective cohort study. SETTING: Surgical claims from a linked medical and pharmacy administrative database of 37 651 619 commercially insured patients between 2008 and 2016. PARTICIPANTS: 1 015 116 opioid naive patients undergoing surgery. MAIN OUTCOME MEASURES: Use of oral opioids after discharge as defined by refills and total dosage and duration of use. The primary outcome was a composite of misuse identified by a diagnostic code for opioid dependence, abuse, or overdose. RESULTS: 568 612 (56.0%) patients received postoperative opioids, and a code for abuse was identified for 5906 patients (0.6%, 183 per 100 000 person years). Total duration of opioid use was the strongest predictor of misuse, with each refill and additional week of opioid use associated with an adjusted increase in the rate of misuse of 44.0% (95% confidence interval 40.8% to 47.2%, P<0.001), and 19.9% increase in hazard (18.5% to 21.4%, P<0.001), respectively. CONCLUSIONS: Each refill and week of opioid prescription is associated with a large increase in opioid misuse among opioid naive patients. The data from this study suggest that duration of the prescription rather than dosage is more strongly associated with ultimate misuse in the early postsurgical period. The analysis quantifies the association of prescribing choices on opioid misuse and identifies levers for possible impact.


Subject(s)
Analgesics, Opioid/therapeutic use , Drug Overdose/epidemiology , Opioid-Related Disorders/epidemiology , Pain, Postoperative/drug therapy , Prescription Drug Overuse/statistics & numerical data , Adolescent , Adult , Aged , Databases, Factual , Drug Administration Schedule , Female , Humans , Male , Middle Aged , Practice Patterns, Physicians'/statistics & numerical data , Retrospective Studies , Risk Factors , Young Adult
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