Predictors associated with unplanned hospital readmission of medical and surgical intensive care unit survivors within 30 days of discharge.

BACKGROUND: Reducing the 30-day unplanned hospital readmission rate is a goal for physicians and policymakers in order to improve quality of care. However, data on the readmission rate of critically ill patients in Japan and knowledge of the predictors associated with readmission are lacking. We investigated predictors associated with 30-day rehospitalization for medical and surgical adult patients separately. METHODS: Patient data from 502 acute care hospitals with intensive care unit (ICU) facilities in Japan were retrospectively extracted from the Japanese Diagnosis Procedure Combination (DPC) database between April 2012 and February 2014. Factors associated with unplanned hospital readmission within 30 days of hospital discharge among medical and surgical ICU survivors were identified using multivariable logistic regression analysis. RESULTS: Of 486,651 ICU survivors, we identified 5583 unplanned hospital readmissions within 30 days of discharge following 147,423 medical hospitalizations (3.8% readmitted) and 11,142 unplanned readmissions after 339,228 surgical hospitalizations (3.3% readmitted). The majority of unplanned hospital readmissions, 60.9% of medical and 63.1% of surgical case readmissions, occurred within 15 days of discharge. For both medical and surgical patients, the Charlson comorbidity index score; category of primary diagnosis during the index admission (respiratory, gastrointestinal, and metabolic and renal); hospital length of stay; discharge to skilled nursing facilities; and having received a packed red blood cell transfusion, low-dose steroids, or renal replacement therapy were significantly associated with higher unplanned hospital readmission rates. CONCLUSIONS: From patient data extracted from a large Japanese national database, the 30-day unplanned hospital readmission rate after ICU stay was 3.4%. Further studies are required to improve readmission prediction models and to develop targeted interventions for high-risk patients.

Variable selection for propensity score models when estimating treatment effects on multiple outcomes: a simulation study.

PURPOSE: It is often preferable to simplify the estimation of treatment effects on multiple outcomes by using a single propensity score (PS) model. Variable selection in PS models impacts the efficiency and validity of treatment effects. However, the impact of different variable selection strategies on the estimated treatment effects in settings involving multiple outcomes is not well understood. The authors use simulations to evaluate the impact of different variable selection strategies on the bias and precision of effect estimates to provide insight into the performance of various PS models in settings with multiple outcomes. METHODS: Simulated studies consisted of dichotomous treatment, two Poisson outcomes, and eight standard-normal covariates. Covariates were selected for the PS models based on their effects on treatment, a specific outcome, or both outcomes. The PSs were implemented using stratification, matching, and weighting (inverse probability treatment weighting). RESULTS: PS models including only covariates affecting a specific outcome (outcome-specific models) resulted in the most efficient effect estimates. The PS model that only included covariates affecting either outcome (generic-outcome model) performed best among the models that simultaneously controlled measured confounding for both outcomes. Similar patterns were observed over the range of parameter values assessed and all PS implementation methods. CONCLUSIONS: A single, generic-outcome model performed well compared with separate outcome-specific models in most scenarios considered. The results emphasize the benefit of using prior knowledge to identify covariates that affect the outcome when constructing PS models and support the potential to use a single, generic-outcome PS model when multiple outcomes are being examined.

Is there a relationship between patient beliefs or communication about generic drugs and medication utilization?

BACKGROUND: Insurers and policymakers strive to stimulate more cost-effective prescribing and, increasingly, are educating beneficiaries about generics. OBJECTIVES: To evaluate the relationship between patient beliefs and communication about generic drugs and actual drug use. RESEARCH DESIGN AND SUBJECTS: We performed a national mailed survey of a random sample of 2500 commercially-insured adults. Patient responses were linked to pharmacy claims data to assess actual generic medication use. MEASURES: We used factor analysis to develop 5 multi-item scales from patient survey responses that measured: (1) general preferences for generics, (2) generic safety/effectiveness, (3) generic cost/value, (4) comfort with generic substitution, and (5) communication with providers about generics. The relationship between each scale and the proportion of prescriptions filled for generics was assessed using linear regression, controlling for demographic, health, and insurance characteristics. Separate models were created for each scale and then all 5 scales were included simultaneously in a fully-adjusted model. RESULTS: The usable response rate was 48%. When evaluated independently, a 1 SD increase in each of the 5 scales was associated with a 3.1% to 6.3% increase in generic drug use (P < 0.05 for each). In the fully adjusted model, only 2 scales were significantly associated with generic drug use: comfort with generic substitution (P = 0.021) and communication with providers about generic drugs (P = 0.012). CONCLUSIONS: Generic drug use is most closely associated with the 2 actionable items we evaluated: communication with providers about generics and comfort with generic substitution. Educational campaigns that focus on these 2 domains may be most effective at influencing generic drug use.

Emergency hospital admissions after income-based deductibles and prescription copayments in older users of inhaled medications.

BACKGROUND: Rapid growth in prescription drug costs has compelled insurers to require increased patient cost-sharing. OBJECTIVE: The aim of this study was to compare the effects of 2 recent cost-sharing policies on emergency hospitalizations due to chronic obstructive pulmonary disease, asthma, or emphysema (CAE), and on physician visits. METHODS: We analyzed data from a large-scale natural experiment in British Columbia (BC), Canada. The cost-sharing policies were a fixed copayment policy (fixed copay policy) and an income-based deductible (IBD) policy with 25% coinsurance (IBD policy). Prescription, physician billing, and hospitalization records were obtained from the BC Ministry of Health. From the total population of BC residents > or = 65 years of age, we extracted data from all patients dispensed an inhaled corticosteroid, beta(2)-agonist, or anticholinergic from June 30, 1997, to April 30, 2004. Poisson regression was used to evaluate the impact of the policies in a cohort of patients receiving long-term inhaler treatment. An identically defined historical control group unaffected by the policy changes was used for comparison. RESULTS: The study population included 37,320 users of long-term inhaled medications from the BC population of 576,000 persons > or = 65 years of age. During the IBD period but not the fixed copay period, emergency hospitalizations for CAE increased 41% (95% CI for adjusted rate ratio [RR], 1.24-1.60) in patients > or = 65 years of age. There was also a significant increase in physician visits of 3% (95% CI for adjusted RR, 1.01-1.05). No significant increases were observed during the fixed copay period. In a secondary analysis using a concurrent control group, we estimated a smaller but significant increase in emergency CAE hospitalizations of 29% (95% CI for adjusted RR, 1.09-1.52). This analysis also showed increases in physician visits (fixed copay period RR, 1.03 [95% CI for adjusted RR, 1.01-1.05]; IBD period RR, 1.07 [95% CI for adjusted RR, 1.05-1.08]). CONCLUSION: The results suggest that the IBD policy was likely associated with an increased risk for emergency hospitalization and physician visits in these users of inhaled medications who were aged > or = 65 years.

Rationale and design of the Post-MI FREEE trial: a randomized evaluation of first-dollar drug coverage for post-myocardial infarction secondary preventive therapies.

BACKGROUND: Medication nonadherence is a major public health problem, especially for patients with coronary artery disease. The cost of prescription drugs is a central reason for nonadherence, even for patients with drug insurance. Removing patient out-of-pocket drug costs may increase adherence, improve clinical outcomes, and even reduce overall health costs for high-risk patients. The existing data are inadequate to assess whether this strategy is effective. TRIAL DESIGN: The Post-Myocardial Infarction Free Rx and Economic Evaluation (Post-MI FREEE) trial aims to evaluate the effect of providing full prescription drug coverage (ie, no copays, coinsurance, or deductibles) for statins, beta-blockers, angiotensin-converting enzyme inhibitors, and angiotensin II receptor blockers to patients after being recently discharged from the hospital. Potentially eligible patients will be those individuals who receive their health and pharmacy benefits through Aetna, Inc. Patients enrolled in a Health Savings Account plan, who are > or =65 years of age, whose plan sponsor (ie, the employer, union, government, or association that sponsors the particular benefits package) has opted out of participating in the study, and who do not receive both medical services and pharmacy coverage through Aetna will be excluded. The plan sponsor of each eligible patient will be block randomized to either full drug coverage or current levels of pharmacy benefit, and all subsequently eligible patients of that same plan sponsor will be assigned to the same benefits group. The primary outcome of the trial is a composite clinical outcome of readmission for acute MI, unstable angina, stroke, congestive heart failure, revascularization, or inhospital cardiovascular death. Secondary outcomes include medication adherence and health care costs. All patients will be followed up for a minimum of 1 year. CONCLUSION: The Post-MI FREEE trial will be the first randomized study to evaluate the impact of reducing cost-sharing for essential cardiac medications in high-risk patients on clinical and economic outcomes.

Frequency and predictors of tablet splitting in statin prescriptions: a population-based analysis.

BACKGROUND: The price per milligram for most statin medications decreases at higher strengths, which provides an economic incentive to split tablets. We sought to determine the frequency with which statin tablets are split, and to evaluate factors associated with this practice. METHODS: We obtained prescription claims data for statins from the BC Ministry of Health for the period Jan. 1, 1996, to Dec. 31, 2006. We estimated the number of tablets per day, based on the ratio of the number of tablets to days-supply in each prescription, to estimate the frequency with which splitting occurred with each statin. We used multivariable logistic regression to assess patient and physician characteristics and the level of public drug plan coverage associated with tablet splitting. To estimate related cost savings, we used information on drug costs and quantities of dispensed statins reported by pharmacies. RESULTS: During the 11-year study period, we estimated that tablet splitting occurred in 2.6% of 7.2 million statin prescriptions. There was an increasing trend in the practice over time, to 4.5% of prescriptions in 2006. Lovastatin was the only scored tablet and was the most likely to be split, followed by rosuvastatin and atorvastatin. Fifty percent of the prescriptions in which tablet splitting occurred were prescribed by only 7.9% of the routine statin prescribers (i.e., > 10 statin prescriptions over the study period). Specialists were less likely than general practitioners to prescribe statins that were subsequently split (odds ratio [OR] 0.43, 95% confidence interval [CI] 0.40-0.46). Statin prescriptions that were fully covered by the public drug plan were half as likely as those with no such coverage to involve tablet splitting (OR 0.48, 95% CI 0.44-0.92). Having no public drug coverage, having a low annual household income and being female were patient factors found to be positively associated with tablet splitting. In 2006, the cost savings associated with tablet splitting was $2.3 million. INTERPRETATION: The frequency of tablet splitting in statin prescriptions in British Columbia was low but increased over time. It varied between patients, physicians and different levels of insurance coverage. In the final study year, 94.5% of the statin prescriptions were dispensed at strengths for which a tablet of twice the strength was available and could have been split, which suggests a potentially enormous cost savings.

Rates and determinants of reinitiating antihypertensive therapy after prolonged stoppage: a population-based study.

OBJECTIVE: To assess patterns of restarting antihypertensive drugs after a prolonged period of discontinuation. METHODS: We conducted a retrospective cohort study among new users of blood pressure-lowering medication in the PHARMO database in The Netherlands, who had a period of at least 180 days without such medication. A multivariable Cox proportional hazard analysis was used to explore the baseline variables associated with reinitiating treatment. Case-crossover analysis was used to evaluate determinants of reinitiating treatment. RESULTS: We identified 35,714 patients as initiating blood pressure-lowering treatment during the period 1 January 1999 to 30 June 2004. Of the 18,357 (51.4%) patients who discontinued blood pressure-lowering treatment, 19.3% restarted treatment within 1 year and 60.7% restarted within 6 years. With every additional year they had been on therapy, patients were more likely to restart [odds ratio (OR) = 1.38; 95% confidence interval (CI) = 1.34-1.42]. The case-crossover analysis revealed that hospitalization for cardiovascular disease (OR = 2.20; 95% CI = 1.84-2.63), as well as refilling of another cardiovascular medication (OR = 1.25; 95% CI = 1.11-1.40), were each independently associated with reinitiating treatment. Refilling non-cardiovascular medications was not associated with reinitiating treatment (OR = 1.03; 95% CI = 0.97-1.10). CONCLUSION: Physicians should be aware that many patients have prolonged periods of discontinuation during the use of blood pressure-lowering medication, and that most of these patients will eventually resume therapy. Ongoing refilling other medications is not associated with reinitiating treatment. This suggests that, for some patients, the decision to discontinue may be drug specific rather than a behavioural characteristic applicable to all chronic treatments.

Impact of two sequential drug cost-sharing policies on the use of inhaled medications in older patients with chronic obstructive pulmonary disease or asthma.

BACKGROUND: Evaluations of drug cost-sharing policies within the same population are needed for a fair comparison of different options. OBJECTIVE: The aim of this work was to analyze the impact of 2 changes in a public drug insurance plan on the use of inhaled medications in British Columbia (BC), Canada. METHODS: Data for the period from 1997 to 2004 were used to assess whether changes in the use of steroid, beta2-agonist, and anticholinergic inhalers were associated with insurance-plan changes in a large, natural experiment involving all BC residents aged>or=65 years. The 3 sequential policies included full coverage, fixed copayments at the beginning of 2002, and 25% coinsurance with an income-based deductible beginning May 1, 2003. Linkable prescription, physician billing, hospitalization, and mortality records were obtained from the BC Ministry of Health Services. From the total population of residents aged>or=65 years, we extracted data for all patients to whom inhaled steroids, beta2-agonists, or anticholinergics were dispensed on or after January 1, 1997. Multivariable linear regression was used to estimate inhaler use during a 60-month baseline period and during implementation of the subsequent copayment and coinsurance plus deductible policies. We used logistic regression to identify predictors of initiation and cessation use of inhaled medications among older patients. RESULTS: Use declined for inhaled steroids (-12.3%; P<0.001), inhaled anticholinergics (-12.2%; P<0.001), and inhaled beta2-agonists (-5.8%; P<0.001). Patients with new diagnoses of asthma or chronic obstructive pulmonary disease were 25% (95% CI, 14%-31%) less likely to initiate treatment with inhaled steroids when covered by the copayment or coinsurance plus deductible policies than when they had full coverage. Chronic users of inhaled steroids were 47% (95% CI, 40%-55%) more likely to cease treatment when they were covered by the copayment policy and 22% (95% CI, 15%-29%) more likely to cease when covered by the coinsurance plus deductible policy than when they had full coverage. CONCLUSIONS: The copayment and coinsurance plus deductible policies were associated with significant reductions in use of inhaled medications, mostly due to decreased initiation and increased cessation rates. However, the consequences of these policies on health outcomes have not yet been determined.