Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemExplaining Improved Use of High-Risk Medications in Medicare Between 2007 and 2011(WILEY-BLACKWELL, 2016-03)
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ItemANTICIPATORY BEHAVIOR IN RESPONSE TO MEDICARE PART D'S COVERAGE GAP(WILEY, 2017-03)
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ItemSimulating Variation in Families' Spending across Marketplace Plans(WILEY, 2018-08)OBJECTIVE: To examine variations in premium and cost-sharing across marketplace plans available to eligible families. DATA SOURCES: 2011-2012 Medical Expenditure Panel Survey (MEPS), 2014 health plan data from healthcare.gov, and the 2011 Medicare Part D public formulary file. STUDY DESIGN: We identified a nationally representative cohort of individuals in the MEPS who would have been eligible for marketplace coverage. For each family, we simulated the total out-of-pocket payment (premium plus cost-sharing) under each available plan in their county of residence, assuming their premarketplace use. DATA COLLECTION/EXTRACTION METHODS: Confidential state and county of residence identifiers were merged onto MEPS public use files and used to match MEPS families to the plans available in their county as reported in the publicly available data from healthcare.gov. PRINCIPAL FINDINGS: We found substantial variation in total family health care spending, especially premium component, across marketplace plans. This is true even within a plan tier of the same minimum actuarial value, and for families eligible for subsidies. Variation among families with income below 250 percent of the FPL is larger than variation among families with higher income. CONCLUSIONS: Our simulations show substantial variations in net premium and out-of-pocket payments across marketplace plans, even within a plan tier.
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ItemTemporal trends and variation in out-of-pocket expenditures and patient cost sharing: evidence from a Chinese national survey 2011-2015(BioMed Central, 2021-06-19)OBJECTIVES: This study aims to examine: (1) temporal trends in the percentage of cost-sharing and amount of out-of-pocket expenditure (OOPE) from 2011 to 2015; (2) factors associated with cost-sharing and OOPE; and (3) the relationships between province-level economic development and cost-sharing and OOPE in China. SETTING: A total of 10,316 adults aged ≥45 years from China followed-up from 2011 to 2015 were included in the analysis. We measured two main outcome variables: (1) patient cost sharing, measured by the percentage of OOPE as total healthcare expenditure, and (2) absolute amount of OOPE. RESULTS: Based on self-reported data, we did not find substantial differences in the percentage of cost sharing, but a significant increase in the absolute amount of OOPE among the middle-aged and older Chinese between 2011 and 2015. The percentage of cost-sharing was considerably higher for outpatient than inpatient care, and the majority paid more than 80% of the total cost for prescription drugs. Provinces with higher GDP per capita tend to have lower cost-sharing and a higher OOPE than their counterparts, but the relationship for OOPE became insignificant after adjusting for individual factors. CONCLUSION: Reducing out-of-pocket expenditure and patient cost sharing is required to improve financial protection from illness, especially for those with those with chronic conditions and reside in less developed regions in China. Ongoing monitoring of financial protection using data from various sources is warranted.
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ItemAssociation between telehealth use and general practitioner characteristics during COVID-19: findings from a nationally representative survey of Australian doctors(BMJ PUBLISHING GROUP, 2021)OBJECTIVE: To investigate factors associated with the use of telehealth by general practitioners (GPs) during COVID-19. DESIGN: A nationally representative longitudinal survey study of Australian doctors analysed using regression analysis. SETTING: General practice in Australia during the COVID-19 pandemic. PARTICIPANTS: 448 GPs who completed both the 11th wave (2018-2019) of the Medicine in Australia: Balancing Employment and Life (MABEL) Survey and the MABEL COVID-19 Special Online Survey (May 2020). OUTCOME MEASURES: Proportion of all consultations delivered via telephone (audio) or video (audiovisual); proportion of telehealth consultations delivered via video. RESULTS: 46.1% of GP services were provided using telehealth in early May 2020, with 6.4% of all telehealth consultations delivered via video. Higher proportions of telehealth consultations were observed in GPs in larger practices compared with solo GPs: between +0.21 (95% CI +0.07 to +0.35) and +0.28 (95% CI +0.13 to +0.44). Greater proportions of telehealth consultations were delivered through video for GPs with appropriate infrastructure and for GPs with more complex patients: +0.10 (95% CI +0.04 to +0.16) and +0.04 (95% CI +0.00 to +0.08), respectively. Lower proportions of telehealth consultations were delivered via video for GPs over 55 years old compared with GPs under 35 years old: between -0.08 (95% CI -0.02 to -0.15) and -0.15 (95% CI -0.07 to -0.22), and for GPs in postcodes with a higher proportion of patients over 65 years old: -0.005 (95% CI -0.001 to -0.008) for each percentage point increase in the population over 65 years old. CONCLUSIONS: GP characteristics are strongly associated with patterns of telehealth use in clinical work. Infrastructure support and relative pricing of different consultation modes may be useful policy instruments to encourage GPs to deliver care by the most appropriate method.
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ItemAssociation Between Preoperative Benzodiazepine Use and Postoperative Opioid Use and Health Care Costs(JAMA Network, 2020-10-27)Importance The association between preoperative benzodiazepine use and long-term postoperative outcomes is not well understood. Objective To characterize the association between preoperative benzodiazepine use and postoperative opioid use and health care costs. Design, Setting, and Participants In this cohort study, retrospective analysis of private health insurance claims data on 946 561 opioid-naive patients (no opioid prescriptions filled in the year before surgery) throughout the US was conducted. Patients underwent 1 of 11 common surgical procedures between January 1, 2004, and December 31, 2016; data analysis was performed January 9, 2020. Exposures Benzodiazepine use, defined as long term (≥10 prescriptions filled or ≥120 days supplied in the year before surgery) or intermittent (any use not meeting the criteria for long term). Main Outcomes and Measures The primary outcome was opioid use 91 to 365 days after surgery. Secondary outcomes included opioid use 0 to 90 days after surgery and health care costs 0 to 30 days after surgery. Results In this sample of 946 561 patients, the mean age was 59.8 years (range, 18-89 years); 615 065 were women (65.0%). Of these, 23 484 patients (2.5%) met the criteria for long-term preoperative benzodiazepine use and 47 669 patients (5.0%) met the criteria for intermittent use. After adjusting for confounders, long-term (odds ratio [OR], 1.59; 95% CI, 1.54-1.65; P < .001) and intermittent (OR, 1.47; 95% CI, 1.44-1.51; P < .001) benzodiazepine use were associated with an increased probability of any opioid use during postoperative days 91 to 365. For patients who used opioids in postoperative days 91 to 365, long-term benzodiazepine use was associated with a 44% increase in opioid dose (additional 0.6 mean daily morphine milligram equivalents [MMEs]; 95% CI, 0.3-0.8 MMEs; P < .001), although intermittent benzodiazepine use was not significantly different (0.0 average daily MMEs; 95% CI, −0.2 to 0.2 MMEs; P = .65). Preoperative benzodiazepine use was also associated with increased opioid use in postoperative days 0 to 90 for both long-term (32% increase, additional 1.9 average daily MMEs; 95% CI, 1.6-2.1 MMEs; P < .001) and intermittent (9% increase, additional 0.5 average daily MMEs; 95% CI, 0.4-0.6 MMEs; P < .001) users. Intermittent benzodiazepine use was associated with an increase in 30-day health care costs ($1155; 95% CI, $938-$1372; P < .001), while no significant difference was observed for long-term benzodiazepine use. Conclusions and Relevance The findings of this study suggest that, among opioid-naive patients, preoperative benzodiazepine use may be associated with an increased risk of developing long-term opioid use and increased opioid dosages postoperatively, and also may be associated with increased health care costs.
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ItemPharmaceutical Use and Spending Trend in Medicare Beneficiaries With Dementia, From 2006 to 2012(SAGE Publications (UK and US), 2017-01-01)Objectives: The aim of the study was to examine the trend in incidence and prevalence of dementia, use and spending of antidementia and antipsychotic drugs among dementia patients. Methods: Using 2006-2012 Medicare claims data, we identified individuals with diagnosis of dementia and collected their pharmacy claims in 2006-2012. We built regression models to test the trend in number of prescriptions and spending on antidementia, antipsychotic, and other drugs. Results: The prevalence of dementia did not change during our study period. Spending on antidementia and antipsychotic drugs creased to increase in 2011, following the patent expiration of Aricept, Zyprexa, and Seroquel; and total pharmaceutical spending did not change in 2006-2012. Use of antidementia drugs increased during our study period; however, the off-label use of antipsychotic drugs did not decrease. Discussion: Pharmaceutical spending associated with dementia may not be as concerning for Medicare as previously thought; nevertheless, policies that discourage the nonevidence-based off-label use of drugs are warranted.
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ItemOutcomes of Patients With Atrial Fibrillation Newly Recommended for Oral Anticoagulation Under the 2014 American Heart Association/American College of Cardiology/Heart Rhythm Society Guideline(WILEY, 2018-01)BACKGROUND: In March 2014, the American Heart Association updated their guidelines for the management of oral anticoagulation (OAC) in atrial fibrillation, recommending OAC for all patients with CHA2DS2-VASc ≥2. Previously, only patients with CHADS2 ≥2 were recommended for anticoagulation. This study compared effectiveness and safety outcomes of OAC among patients who would receive OAC using the 2014 guidelines but not the 2011 guidelines. METHODS AND RESULTS: Using claims data from a 5% sample of 2013-2014 Medicare beneficiaries, we identified patients with initially diagnosed atrial fibrillation between 2013 and 2014 and selected those who would receive OAC under the 2014 guidelines but not the 2011 guidelines (those with CHA2DS2-VASc score ≥2 or CHADS2 score <2). Patients were categorized according to their use of OAC after first atrial fibrillation diagnosis (2937 users and 2914 nonusers). Primary outcomes included the composite of ischemic stroke, systemic embolism and death, and any bleeding event. Cox proportional hazard models were constructed to compare the risk of primary outcomes between the 2 groups, while controlling for patient demographic and clinical characteristics. There was no difference in the combined risk of stroke, systemic embolism, and death between the treatment groups (hazard ratio, 1.00; 95% confidence interval, 0.84-1.20). The risk of bleeding was higher for patients receiving OAC than for patients not receiving OAC (hazard ratio, 1.70, 95% confidence interval, 1.46-1.97). CONCLUSIONS: The benefit of OAC is not well defined in this patient population, and new studies that minimize residual confounding are needed to fully understand the risk/benefit of OAC in patients with atrial fibrillation and low to moderate stroke risk.
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ItemFactors affecting general practitioners' decisions to adopt new prescription drugs - Cohort analyses using Australian longitudinal physician survey data(BioMed Central, 2019-02-07)Background: We investigate factors affecting Australian general practitioners' decisions to adopt novel oral anticoagulants (NOACs) for the prevention of stroke/systemic embolism among patients with atrial fibrillation. Australia has a national homogeneous review and coverage system, which enables us to distinguish physician level factors while maintaining system level factors and patient coverage information constant. Methods: We conduct a cohort analyses by using longitudinal physician survey data from the Medicine in Australia: Balancing Employment and Life panel survey of Australian physicians (MABEL). MABEL data contain rich physician-level information such as age, gender, education, risk preferences, personality, physicians' communications with other medical professionals, and other practice characteristics. Importantly, the survey data were linked, with physician's consent, to actual utilization data from the Australian Pharmaceutical Benefits Scheme and the Medicare Benefits Schedule between January 1, 2012 and December 31, 2015. We measure speed (days until first time prescribing) of adopting NOACs. We estimate a Cox proportional hazard model to estimate factors affecting the adoption speed. Results: Several factors predict earlier adoption of NOACs: being male, more likely to take clinical risk, higher prescribing volume, being a principal or partner in the practice instead of an employee, spending less time in a typical consultation, and practicing in more affluent areas or areas with a higher proportion of older patients. GPs in Queensland are more likely to adopt NOACs and more likely to be extensive early adopters compared to other GPs. Other characteristics including physician personality, family circumstances, their involvement with public hospitals and teaching activities, and the distance between physician practice location to other clinics in the area are not statistically associated with earlier adoption. Conclusions: Our paper is one of the first to study the relationship between GPs' risk preferences, personality and their decisions to adopt new prescription drugs. Because NOACs are commonly prescribed and considered more cost-effective than their older counterpart, understanding factors affecting physicians' decisions to adopt NOACs has direct policy implications. Our results also highlight that even with universal coverage for prescription drugs, access to new drugs is different among patients, partially because who their doctors are and where they practice.