Postacute Care for Medicare Advantage Enrollees Who Switched to Traditional Medicare Compared With Those Who Remained in Medicare Advantage.

Importance: Medicare Advantage (MA) plans receive capitated per enrollee payments that create financial incentives to provide care more efficiently than traditional Medicare (TM); however, incentives could be associated with MA plans reducing use of beneficial services. Postacute care can improve functional status, but it is costly, and thus may be provided differently to Medicare beneficiaries by MA plans compared with TM. Objective: To estimate the association of MA compared with TM enrollment with postacute care use and postdischarge outcomes. Design, Setting, and Participants: This was a cohort study using Medicare data on 4613 hospitalizations among retired Ohio state employees and 2 comparison groups in 2015 and 2016. The study investigated the association of a policy change with use of postacute care and outcomes. The policy changed state retiree health benefits in Ohio from a mandatory MA plan to subsidies for either supplemental TM coverage or an MA plan. After policy implementation, approximately 75% of retired Ohio state employees switched to TM. Hospitalizations for 3 high-volume conditions that usually require postacute rehabilitation were assessed. Data from the Medicare Provider Analysis and Review files were used to identify all hospitalizations in short-term acute care hospitals. Difference-in-difference regressions were used to estimate changes for retired Ohio state employees compared with other 2015 MA enrollees in Ohio and with Kentucky public retirees who were continuously offered a mandatory MA plan. Data analyses were performed from September 1, 2019, to November 30, 2023. Exposures: Enrollment in Ohio state retiree health benefits in 2015, after which most members shifted to TM. Main Outcomes and Measures: Received care in an inpatient rehabilitation facility, skilled nursing facility, or home health, or any postacute care; the occurrence of any hospital readmission; the number of days in the community during the 30 days after hospital discharge; and mortality. Results: The study sample included 2373 hospitalizations for Ohio public retirees, 1651 hospitalizations for other Humana MA enrollees in Ohio, and 589 hospitalizations for public retirees in Kentucky. After the 2016 policy implementation, the percentage of hospitalizations covered by MA decreased by 70.1 (95% CI, -74.2 to -65.9) percentage points (pp), inpatient rehabilitation facility admissions increased by 9.7 (95% CI, 4.7 to 14.7) pp, use of only home health or skilled nursing facility care fell by 8.6 (95% CI, -14.6 to -2.6) pp, and days in the community fell by 1.6 (95% CI, -2.9 to -0.3) days for Ohio public retirees compared with other Humana MA enrollees in Ohio. There was no change in 30-day mortality or hospital readmissions; similar results were found by comparisons using Kentucky public retirees as a control group. Conclusions and Relevance: The findings of this cohort study indicate that after a change in retiree health benefits, most Ohio public retirees shifted from MA to TM and received more intensive postacute care with no significant change in measured short-term postdischarge outcomes. Future work should consider additional measures of postacute functional status over a longer follow-up period.

Rationale, design, and cohort characteristics of the Action for Health in Diabetes Aging study.

INTRODUCTION: Diabetes and overweight/obesity are described as accelerating aging processes, yet many individuals with these conditions maintain high levels of cognitive and physical function and independence late into life. The Look AHEAD Aging study is designed to identify 20-year trajectories of behaviors, risk factors, and medical history associated with resilience against geriatric syndromes and aging-related cognitive and physical functional deficits among individuals with these conditions. METHODS: Look AHEAD Aging extends follow-up of the cohort of the former 10-year Look AHEAD trial. The original cohort (N = 5145) was enrolled in 2001 to 2004 when participants were aged 45 to 76 years and randomly assigned to a multidomain intensive lifestyle intervention (ILI) or a diabetes support and education (DSE) condition. The trial interventions ceased in 2012. Clinic-based follow-up continued through 2020. In 2021, the cohort was invited to enroll in Look AHEAD Aging, an additional 4-year telephone-based follow-up (every 6 months) enhanced with Medicare linkage. Standardized protocols assess multimorbidity, physical and cognitive function, health care utilization, and health-related quality of life. RESULTS: Of the original N = 5145 Look AHEAD participants, N = 1552 active survivors agreed to participate in Look AHEAD Aging. At consent, the cohort's mean age was 76 (range 63 to 94) years and participants had been followed for a mean of 20 years. Of the original Look AHEAD enrollees, those who were younger, female, or with no history of cardiovascular disease were more likely to be represented in the Look AHEAD Aging cohort. Intervention groups were comparable with respect to age, diabetes duration, body mass index, insulin use, hypertension, cardiovascular disease, and cognitive function. ILI participants had significantly lower deficit accumulation index scores. DISCUSSION: By continuing the long-term follow-up of an extensively characterized cohort of older individuals with type 2 diabetes, Look AHEAD Aging is well positioned to identify factors associated with resilience against aging-related conditions.

Association of Intensive Lifestyle Intervention for Type 2 Diabetes With Labor Market Outcomes.

Importance: An intensive lifestyle intervention (ILI) has been shown to improve diabetes management and physical function. These benefits could lead to better labor market outcomes, but this has not been previously studied. Objective: To estimate the association of an ILI for weight loss in type 2 diabetes with employment, earnings, and disability benefit receipt during and after the intervention. Design, Setting, and Participants: This cohort study included participants with type 2 diabetes and overweight or obesity and compared an ILI with a control condition of diabetes support and education. Data for the original trial were accrued from August 22, 2001, to September 14, 2012. Trial data were linked with Social Security Administration records to investigate whether, relative to the control group, the ILI was associated with improvements in labor market outcomes during and after the intervention period. Difference-in-differences models estimating relative changes in employment, earnings, and disability benefit receipt between the ILI and control groups were used, accounting for prerandomization differences in outcomes for linked participants. Outcome data were analyzed from July 13, 2020, to May 17, 2023. Exposure: The ILI consisted of sessions with lifestyle counselors, dieticians, exercise specialists, and behavioral therapists on a weekly basis in the first 6 months, decreasing to a monthly basis by the fourth year, designed to achieve and maintain at least 7% weight loss. The control group received group-based diabetes education sessions 3 times annually during the first 4 years, with 1 annual session thereafter. Main Outcomes and Measures: Employment and receipt of federal disability benefits (Supplemental Security Income and Social Security Disability Insurance), earnings, and disability benefit payments from 1994 through 2018. Results: A total of 3091 trial participants were linked with Social Security Administration data (60.1% of 5145 participants initially randomized and 97.0% of 3188 of participants consenting to linkage). Among the 3091 with fully linked data, 1836 (59.4%) were women, and mean (SD) age was 58.4 (6.5) years. Baseline clinical and demographic characteristics were similar between linked participants in the ILI and control groups. Employment increased by 2.9 (95% CI, 0.3-5.5) percentage points for the ILI group relative to controls (P = .03) with no significant relative change in disability benefit receipt (-0.9 [95% CI, -2.1 to 0.3] percentage points; P = .13). Conclusions and Relevance: The findings of this cohort study suggest that an ILI to prevent the progression and complications of type 2 diabetes was associated with higher levels of employment. Labor market productivity should be considered when evaluating interventions to manage chronic diseases.

Racial and Ethnic Differences in Insurance Outcomes After Job Loss During the First Year of the COVID-19 Pandemic.

This cohort study uses national survey data to assess the racial and ethnic differences in insurance coverage after job loss during the first year of the COVID-19 pandemic.

Evaluating the association between expanded coverage of direct-to-consumer telemedicine and downstream utilization and quality of care for urinary tract infections and sinusitis.

OBJECTIVE: To compare direct-to-consumer (DTC) telemedicine and in-person visits in rates of testing, follow-up health care use, and quality for urinary tract infections (UTIs) and sinusitis. DATA SOURCE: The Minnesota All Payer Claims Data provided 2008-2015 administrative claims data. STUDY DESIGN: Using a difference-in-differences approach, we compared episodes of care for UTIs and sinusitis among enrollees of health plans introducing coverage for DTC telemedicine relative to those without DTC telemedicine coverage. Primary outcomes included number of laboratory tests, antibiotics filled, office and outpatient visits, emergency department (ED) visits, and standardized spending, based on standardized prices of health services. DATA COLLECTION: The study sample included non-elderly enrollees of commercial health insurance plans. We constructed 30-day episodes of care initiated by a DTC telemedicine or in-person visit. PRINCIPAL FINDINGS: The UTI and sinusitis samples were comprised of 215,134 and 624,630 episodes of care, respectively. Following the introduction of coverage for DTC telemedicine, 15.7% of UTI episodes and 8.9% of sinusitis episodes were initiated with DTC telemedicine. Compared to episodes without coverage for DTC telemedicine, UTI episodes with coverage had 0.25 fewer lab tests (95% CI: -0.33, -0.18; p < 0.001), lower standardized spending for the first UTI visit (-$11.18 [95% CI: -$21.62, -$0.75]; p < 0.05), and no change in office and outpatient visits, ED visits, antibiotics filled, or standardized medical spending. Sinusitis episodes with coverage for DTC telemedicine had fewer antibiotics filled (-0.08 [95% CI: -0.14, -0.01]; p < 0.05) and a very small increase in ED visits (0.001 [95% CI: 0.001, 0.010]; p < 0.05), but no change in lab tests, office and outpatient visits, or standardized medical spending. CONCLUSIONS: Among commercially insured patients, coverage of DTC telemedicine was associated with reductions in antibiotics for sinusitis and laboratory tests for UTI without changes in downstream total office and outpatient visits or changes in ED visits.

Luck of the draw: Role of chance in the assignment of medicare readmissions penalties.

Pay-for-performance programs are one strategy used by health plans to improve the efficiency and quality of care delivered to beneficiaries. Under such programs, providers are often compared against their peers in order to win bonuses or face penalties in payment. Yet luck has the potential to affect performance assessment through randomness in the sorting of patients among providers or through random events during the evaluation period. To investigate the impact luck can have on the assessment of performance, we investigated its role in assigning penalties under Medicare's Hospital Readmissions Reduction Policy (HRRP), a program that penalizes hospitals with excess readmissions. We performed simulations that estimated program hospitals' 2015 readmission penalties in 1,000 different hypothetical fiscal years. These hypothetical fiscal years were created by: (a) randomly varying which patients were admitted to each hospital and (b) randomly varying the readmission status of discharged patients. We found significant differences in penalty sizes and probability of penalty across hypothetical fiscal years, signifying the importance of luck in readmission performance under the HRRP. Nearly all of the impact from luck arose from events occurring after hospital discharge. Luck played a smaller role in determining penalties for hospitals with more beds, teaching hospitals, and safety-net hospitals.

The effects of vertically integrated care on health care use and outcomes in inpatient rehabilitation facilities.

OBJECTIVE: To understand the effects of receiving vertically integrated care in inpatient rehabilitation facilities (IRFs) on health care use and outcomes. DATA SOURCES: Medicare enrollment, claims, and IRF patient assessment data from 2012 to 2014. STUDY DESIGN: We estimated within-IRF differences in health care use and outcomes between IRF patients admitted from hospitals vertically integrated with the IRF (parent hospital) vs patients admitted from other hospitals. For hospital-based IRFs, the parent hospital was defined as the hospital that owned the IRF and co-located with the IRF. For freestanding IRFs, the parent hospital(s) was defined as the hospital(s) that was in the same health system. We estimated models for freestanding and hospital-based IRFs and for fee-for-service (FFS) and Medicare Advantage (MA) patients. Dependent variables included hospital and IRF length of stay, functional status, discharged to home, and hospital readmissions. DATA EXTRACTION METHODS: We identified Medicare beneficiaries discharged from a hospital to IRF. PRINCIPAL FINDINGS: In adjusted models with hospital fixed effects, our results indicate that FFS patients in hospital-based IRFs discharged from the parent hospital had shorter hospital (-0.7 days, 95% CI: -0.9 to -0.6) and IRF (-0.7 days, 95% CI: -0.9 to -0.6) length of stay were less likely to be readmitted (-1.6%, 95% CI: -2.7% to -0.5%) and more likely to be discharged to home care (1.4%, 95% CI: 0.7% to 2.0%), without worse patient clinical outcomes, compared to patients discharged from other hospitals and treated in the same IRFs. We found similar results for MA patients. However, for patients in freestanding IRFs, we found little differences in health care use or patient outcomes between patients discharged from a parent hospital compared to patients from other hospitals. CONCLUSIONS: Our results indicate that receiving vertically integrated care in hospital-based IRFs shortens institutional length of stay while maintaining or improving health outcomes.

Nursing home performance in a trial to reduce hospitalizations: Implications for future trials.

BACKGROUND: Experience in trials of implementing quality improvement (QI) programs in nursing homes (NHs) has been variable. Understanding the characteristics of NHs that demonstrate improvements during these trials is critical to improving NH care. DESIGN: Secondary analysis of a randomized controlled trial of implementation of a QI program to reduce hospital transfers. PARTICIPANTS: Seventy-one NHs that completed the 12-month trial INTERVENTION: Implementation included distance-learning strategies, involvement of a champion, regular submission of data on hospitalizations and root cause analyses of transfers, and training, feedback and support. MEASUREMENTS: Primary outcomes included all-cause and potentially avoidable hospitalizations and emergency department (ED) visits per 1000 NH resident days, and the percentage of residents readmitted in 30-days. We compared multiple other variables that could influence effective program implementation in NHs in the highest versus lowest quartile of changes in the primary outcomes. RESULTS: The 18 high-performing NHs had significant reductions in hospitalization and ED visits, whereas the 18 NHs in the low-performing group had increases. The difference in changes in each outcome varied between a reduction of 0.75 and 2.30 events relative to a NH with a census of 100; the absolute difference in 30-day readmissions was 19%. None of the variables we examined reached significance after adjustment for multiple comparisons between the groups. There was no consistent pattern of differences in nonprofit status, nursing staffing, and quality ratings. CONCLUSION: Our experience and reviews of other NH trials suggest that key factors contributing to successful implementation QI programs in NHs remain unclear. To improve NH care, implementation trials should account for intervention fidelity and factors that have not been examined in detail, such as degree and nature of leadership support, financial and regulatory incentives, quality measures, resident and family perspectives, and the availability of onsite high-quality medical care and support of the medical director.

The association of vertically integrated care with health care use and outcomes.

OBJECTIVE: To determine whether vertically integrated hospital and skilled nursing facility (SNF) care is associated with more efficient use of postdischarge care and better outcomes. DATA SOURCES: Medicare provider, beneficiary, and claims data from 2012 to 2014. STUDY DESIGN: We compared facility characteristics, quality of care, and health care use for hospital-based SNFs and "virtually integrated" SNFs (defined as freestanding SNFs with close referral relationships with a single hospital) relative to nonintegrated freestanding SNFs. Among patients admitted to integrated SNFs, we estimated differences in health care use and outcomes for patients originating from the parent hospital (ie, receiving vertically integrated care) versus other hospitals using linear regressions that included SNF fixed effects. We estimated bounds for our main estimates that incorporated potential omitted variables bias. DATA EXTRACTION METHODS: We identified hospital-based SNFs based on provider data. We defined virtually integrated SNFs based on patient flows between hospitals and SNFs. We identified SNF episodes, preceding hospital stays, patient characteristics, health care use, and patient outcomes using Medicare data. PRINCIPAL FINDINGS: Consistent with prior research, integrated SNFs performed better on quality measures and health care use relative to nonintegrated SNFs (eg, hospital-based SNFs had 11-day shorter stays compared with nonintegrated SNFs adjusting for patient characteristics, P < .001). Stroke patients admitted to hospital-based SNFs from the parent hospital had shorter preceding hospital stays (adjusted difference: -1.2 days, P = .001) and shorter initial SNF stays (adjusted difference: -2.7 days, P = .049); estimates were attenuated but still robust accounting for potential omitted variables bias. For stroke patients, associations between vertically integrated care and other outcomes were either statistically insignificant or not robust to accounting for potential omitted variables bias. CONCLUSIONS: Vertically integrated hospital and SNF care was associated with shorter hospital and SNF stays. However, there were few beneficial associations with other outcomes, suggesting limited coordination benefits from vertical integration.

Within-Trial Cost-Effectiveness of a Structured Lifestyle Intervention in Adults With Overweight/Obesity and Type 2 Diabetes: Results From the Action for Health in Diabetes (Look AHEAD) Study.

OBJECTIVE: To assess the cost-effectiveness (CE) of an intensive lifestyle intervention (ILI) compared with standard diabetes support and education (DSE) in adults with overweight/obesity and type 2 diabetes, as implemented in the Action for Health in Diabetes study. RESEARCH DESIGN AND METHODS: Data were from 4,827 participants during their first 9 years of study participation from 2001 to 2012. Information on Health Utilities Index Mark 2 (HUI-2) and HUI-3, Short-Form 6D (SF-6D), and Feeling Thermometer (FT), cost of delivering the interventions, and health expenditures was collected during the study. CE was measured by incremental CE ratios (ICERs) in costs per quality-adjusted life year (QALY). Future costs and QALYs were discounted at 3% annually. Costs were in 2012 U.S. dollars. RESULTS: Over the 9 years studied, the mean cumulative intervention costs and mean cumulative health care expenditures were $11,275 and $64,453 per person for ILI and $887 and $68,174 for DSE. Thus, ILI cost $6,666 more per person than DSE. Additional QALYs gained by ILI were not statistically significant measured by the HUIs and were 0.07 and 0.15, respectively, measured by SF-6D and FT. The ICERs ranged from no health benefit with a higher cost based on HUIs to $96,458/QALY and $43,169/QALY, respectively, based on SF-6D and FT. CONCLUSIONS: Whether ILI was cost-effective over the 9-year period is unclear because different health utility measures led to different conclusions.

Associations of Intensive Lifestyle Intervention in Type 2 Diabetes With Health Care Use, Spending, and Disability: An Ancillary Study of the Look AHEAD Study.

Importance: Intensive lifestyle interventions focused on diet and exercise can reduce weight and improve diabetes management. However, the long-term effects on health care use and spending are unclear, especially for public payers. Objective: To estimate the association of effective intensive lifestyle intervention for weight loss with long-term health care use and Medicare spending. Design, Setting, and Participants: This ancillary study used data from the Look AHEAD randomized clinical trial, which randomized participants with type 2 diabetes to an intensive lifestyle intervention or control group (ie, diabetes support and education), provided ongoing intervention from 2001 to 2012, and demonstrated improved diabetes management and reduced health care costs during the intervention. This study compared Medicare data between study arms from 2012 to 2015 to determine whether the intervention was associated with persistent reductions in health care spending. Exposure: Starting in 2001, Look AHEAD's intervention group participated in sessions with lifestyle counselors, dieticians, exercise specialists, and behavioral therapists with the goal of reducing weight 7% in the first year. Sessions occurred weekly in the first 6 months of the intervention and decreased over the intervention period. The controls participated in periodic group education sessions that occurred 3 times per year in the first year and decreased to 1 time per year later in the trial. Main Outcomes and Measures: Outcomes included total Medicare spending, Part D prescription drug costs, Part A and Part B Medicare spending, hospital admissions, emergency department visits, and disability-related Medicare eligibility. Results: This study matched Medicare administrative records for 2796 Look AHEAD study participants (54% of 5145 participants initially randomized and 86% of 3246 participants consenting to linkages). Linked intervention and control participants were of a similar age (mean [SD] age, 59.6 [5.4] years vs 59.6 [5.5] years at randomization) and sex (818 [58.1%] women vs 822 [59.3%] women). There was no statistically significant difference in total Medicare spending between groups (difference, -$133 [95% CI, -$1946 to $1681]; P = .89). In the intervention group, compared with the control group, there was statistically significantly higher Part B spending (difference, $513 [95% CI, $70 to $955]; P = .02) but lower prescription drug costs (difference, -$803 [95% CI, -$1522 to -$83]; P = .03). Conclusions and Relevance: This ancillary study of a randomized clinical trial found that reductions in health care use and spending associated with an intensive lifestyle intervention for type 2 diabetes diminished as participants aged. Intensive lifestyle interventions may need to be sustained to reduce long-term health care spending. Trial Registration: ClinicalTrials.gov Identifier: NCT03952728.

Home Health Use In Medicare Advantage Compared To Use In Traditional Medicare.

Medicare covers home health benefits for homebound beneficiaries who need intermittent skilled care. While home health care can help prevent costlier institutional care, some studies have suggested that traditional Medicare beneficiaries may overuse home health care. This study compared home health use in Medicare Advantage and traditional Medicare, as well as within Medicare Advantage by beneficiary cost sharing, prior authorization requirement, and plan type. In 2016 Medicare Advantage enrollees were less likely to use home health care than traditional Medicare enrollees were, had 7.1 fewer days per home health spell, and were less likely to be admitted to the hospital during their spell. Among Medicare Advantage plans, those that imposed beneficiary cost sharing or prior authorization requirements had lower rates of home health use. Qualitative interviews suggested that Medicare Advantage payment and contracting approaches influenced home health care use. Therefore, changes in traditional Medicare home health payment policies implemented in 2020 may reduce these disparities in home health use and spell length.

Home Health And Postacute Care Use In Medicare Advantage And Traditional Medicare.

This article compares patterns of postacute care-including care provided by skilled nursing facilities, inpatient rehabilitation facilities, and home health agencies-under Medicare Advantage and traditional Medicare. Overall, Medicare Advantage enrollees received less postacute care, both institutional and home health, than traditional Medicare enrollees did for three common conditions.

A Decomposition Method to Assess the Contributions of Geographic and Nongeographic Factors to White-Black Disparities in Health Care.

BACKGROUND: Black-white gaps in high-quality hospital use are documented, but the relative contributions of various factors are unclear. The objective of this study was to quantify the contributions of differences in geographic and nongeographic factors to the gap, using decomposition methods and data for coronary heart disease. RESEARCH DESIGN: We identified white and black fee-for-service beneficiaries aged 65 or older who were hospitalized for acute myocardial infarction (AMI) or coronary artery bypass grafting (CABG) surgery during 2009-2011. We categorized hospitals with AMI mortality rates in the lowest quintile as high-quality hospitals. We first decomposed the white-black gap in high-quality hospital use into a component due to racial differences in region of residence and a within-region component. We then decomposed the within-region differences into contributions due to racial differences in geographic proximity to high-quality hospitals and due to nongeographic factors. RESULTS: The white-black gap in high-quality hospital use was smaller for AMI than for CABG (1.7 percentage points vs. 7.5 percentage points). For AMI, region of residence contributed more to the gap than within-region differences (1.0 percentage point vs. 0.6 percentage points), while for CABG, within-region differences prevailed (2.0 percentage points vs. 5.4 percentage points). For both conditions, the within-region white-black difference in high-quality hospital use was mainly driven by nongeographic factors. CONCLUSIONS: Decomposition methods are a useful tool in quantifying the contributions of various factors to the white-black gap in high-quality hospital use and could inform local policy aimed at reducing disparities in hospital quality.

Evaluation of a Multicomponent Care Transitions Program for High-Risk Hospitalized Older Adults.

OBJECTIVES: To test the effectiveness of a multicomponent care transition intervention targeted at hospitalized patients, aged 75 years and older, at high risk for hospital readmissions, return emergency department (ED) visits, and related complications. DESIGN: Implementation as a quality improvement program with propensity-matched preintervention and concurrent comparison groups over a 12-month period. SETTING: A 400-bed community teaching hospital. PARTICIPANTS: Patients, aged 75 years and older, admitted to non-intensive care unit beds who met specific high-risk criteria. The intervention group included 202 patients, and the concurrent and preintervention comparison groups included 4142 and 4592 patients, respectively. MEASUREMENTS: Primary outcomes were 30-day hospital readmissions and returns to the ED; 7-day readmissions and ED visits were secondary measures. RESULTS: Among the 202 patients enrolled in the "Safe Transitions for At-Risk Patients" ("STAR") program, 37 (18.3%) were readmitted within 30 days, in contrast to 14.3% and 14.6% in the concurrent and preintervention comparison groups, respectively. Rates for 30-day return ED visits that did not result in hospitalization were 10.9% in the intervention group, and 7.2% and 7.9% in the comparison groups. STAR patients had greater 30-day ED use than patients in the preintervention comparison group (5.0 percentage points; 95% confidence interval = 0.8-9.3 percentage points; P = .020). Implementation challenges included suboptimal involvement of the participating hospital and post-acute care organizations and a relatively high proportion of patients who did not receive the intervention as planned, despite agreeing to participate before leaving the hospital. CONCLUSION: A multicomponent care transitions intervention targeting high-risk patients, aged 75 years and older, admitted to a community teaching hospital was not effective in reducing 30- or 7-day readmissions or return ED visits. Our implementation experience offers many lessons for future programs for similar high-risk geriatric populations. J Am Geriatr Soc 67:2634-2642, 2019.

Degree of Implementation of the Interventions to Reduce Acute Care Transfers (INTERACT) Quality Improvement Program Associated with Number of Hospitalizations.

OBJECTIVES: To determine whether degree of implementation of the Interventions to Reduce Acute Care Transfers (INTERACT) program is associated with number of hospitalizations and emergency department (ED) visits of skilled nursing facility (SNF) residents. DESIGN: Secondary analysis from a randomized controlled trial. SETTING: SNFs from across the United States (N=264). PARTICIPANTS: Two hundred of the SNFs from the randomized trial that provided baseline and intervention data on INTERACT use. INTERVENTIONS: During a 12-month period, intervention SNFs received remote training and support for INTERACT implementation; control SNFs did not, although most control facilities were using various components of the INTERACT program before and during the trial on their own. MEASUREMENTS: INTERACT use data were based on monthly self-reports for SNFs randomized to the intervention group and pre- and postintervention surveys for control SNFs. Primary outcomes were rates of all-cause hospitalizations, potentially avoidable hospitalizations (PAHs), ED visits without admission, and 30-day hospital readmissions. RESULTS: The 65 SNFs (32 intervention, 33 control) that reported increases in INTERACT use had reductions in all-cause hospitalizations (0.427 per 1,000 resident-days; 11.2% relative reduction from baseline, p<.001) and PAHs (0.221 per 1,000 resident-days; 18.9% relative reduction, p<.001). The 34 SNFs (12 intervention, 22 control) that reported consistently low or moderate INTERACT use had statistically insignificant changes in hospitalizations and ED visit rates. CONCLUSION: Increased reported use of core INTERACT tools was associated with significantly greater reductions in all-cause hospitalizations and PAHs in both intervention and control SNFs, suggesting that motivation and incentives to reduce hospitalizations were more important than the training and support provided in the trial in improving outcomes. Further research is needed to better understand the most effective strategies to motivate SNFs to implement and sustain quality improvement programs such as INTERACT.

Do Skilled Nursing Facilities Selected to Participate in Preferred Provider Networks Have Higher Quality and Lower Costs?

OBJECTIVE: To determine whether skilled nursing facilities (SNFs) chosen by health systems to participate in preferred provider networks exhibited differences in quality, costs, and patient outcomes relative to other SNFs after accounting for differences in case mix. DATA SOURCES: Medicare provider and claims data, 2012 and 2013. STUDY DESIGN: We compared SNFs included in preferred networks relative to other SNFs in the same market, prior to the establishment of preferred provider networks. DATA EXTRACTION METHODS: We linked the SNFs in our sample to facility characteristics and quality data. We identified SNF admissions and hospitalizations in claims data and limited the analysis to patients discharged from the hospitals in our sample. We obtained patient characteristics from Medicare summary files and the preceding hospital stay. PRINCIPAL FINDINGS: Preferred SNFs exhibited better performance across publicly reported quality measures. Patients admitted to preferred SNFs exhibited shorter stays, lower Medicare payments, and lower probability of SNF readmission relative to nonpreferred SNFs. CONCLUSIONS: Our results imply that health systems selected SNFs with lower resource use and better performance on quality measures. Thus, the trend toward preferred provider networks could have implications for Medicare spending and patient health.

Population-Level Estimates Of Telemedicine Service Provision Using An All-Payer Claims Database.

In recent years state and federal policies have encouraged the use of telemedicine by formalizing payments for it. Telemedicine has the potential to expand access to timely care and reduce costs, relative to in-person care. Using information from the Minnesota All Payer Claims Database, we conducted a population-level analysis of telemedicine service provision in the period 2010-15, documenting variation in provision by coverage type, provider type, and rurality of patient residence. During this period the number of telemedicine visits increased from 11,113 to 86,238, and rates of use varied extensively by coverage type and rurality. In metropolitan areas telemedicine visits were primarily direct-to-consumer services provided by nurse practitioners or physician assistants and covered by commercial insurance. In nonmetropolitan areas telemedicine use was chiefly real-time provider-initiated services delivered by physicians to publicly insured populations. Recent federal and state legislation that expanded coverage and increased provider reimbursement for telemedicine services could lead to expanded use of telemedicine, including novel approaches in new patient populations.

The long term effects of "Consumer-Directed" health plans on preventive care use.

"Consumer-Directed" Health Plans (CDHPs), those with high deductibles and personal medical accounts, have been shown to reduce health care spending. The impact of CDHPs on preventive care is unclear. On the one hand CDHPs might increase use of preventive care as such care is exempt from the deductible. However, CDHPs also decrease visits to physicians which might results in less screening. Prior research has found conflicting results. In this study, using data from 37 employers we examine the effects of CDHPs on the use of cancer screenings up to three years after the initial CDHP offering with ITT and LATE approaches. Being offered a CDHP or enrolling in a CDHP had little or no effect on cancer screening rates but individuals increase screenings prior to enrolling in a CDHP. Our findings suggest the importance of examining CDHP effects on periodic care over the longer-term and carefully controlling for anticipatory stockpiling.