Medical Care最新文献

Background: The lifetime risk of mental health disorders is almost 50% and, in any year, about 25% of the population have a psychiatric disorder. Many of those people are cared for in primary care settings.

Research objective: Measure access to mental health services, such as getting counselling or prescription mental health medications, using new patient survey questions that can be added to Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys.

Study design: Surveys were conducted with a stratified probability sample of patients receiving primary care services in a single state in 2018-2019. Medicaid and privately insured patients were surveyed by mail or telephone, respectively.

Results: Approximately 14% of sampled patients responded to a survey. More than 10% of privately insured respondents and about 20% of Medicaid respondents got or tried to get appointments for mental health care. About 15% of privately insured respondents and 11% of Medicaid respondents reported problems getting appointments with counselors. Only 8%-9% of respondents seeking mental health medicines reported problems getting appointments for prescriptions. A composite measure combining access to counselors and prescribers of mental health medicines evidenced adequate internal consistency reliability. Group level reliability estimates were low.

Conclusions: Many respondents got or tried to get mental health services and a substantial number reported problems getting appointments or getting mental health prescriptions. The tested questions can be combined into an Access to Mental Health Care measure, which can be included in patient experience surveys for ambulatory care to monitor access to behavioral health care.

Background: The Elixhauser Comorbidity Index (ECI) is widely used, but its performance in homeless populations has not been evaluated.

Objectives: Using a national sample of inpatients, this study compared homeless and nonhomeless inpatients on common clinical diagnoses and evaluated ECI performance in predicting mortality among homeless inpatients.

Research design: A retrospective study was conducted using 2019 National Inpatient Sample (NIS) data, the largest publicly available all-payer inpatient health care database in the United States.

Subjects: Among 4,347,959 hospitalizations, 78,819 (weighted 1.8%) were identified as homeless.

Measures: The ECI consists of 38 medical conditions; homelessness was defined using the International Classification of Diseases Tenth Revision Clinical Modification (ICD-10-CM) diagnostic code, and clinical conditions were based on the Clinical Classifications Software Refined (CCSR) for ICD-10-CM.

Results: Leading clinical diagnoses for homeless inpatients included schizophrenia and other psychotic disorders (13.3%), depressive disorders (9.4%), and alcohol-related disorders (7.2%); leading diagnoses for nonhomeless inpatients were septicemia (10.2%), heart failure (5.2%), and acute myocardial infarction (3.0%). Metastatic cancer and liver disease were the most common ECI diagnoses for both homeless and nonhomeless inpatients. ECI indicators and summary scores were predictive of in-hospital mortality for homeless and nonhomeless inpatients, with all models yielding concordance statistics above 0.80, with better performance found among homeless inpatients.

Conclusions: These findings underlie the high rates of behavioral health conditions among homeless inpatients and the strong performance of the ECI in predicting in-hospital mortality among homeless inpatients, supporting its continued use as a case-mix control method and predictor of hospital readmissions.

Background: Recent efforts to increase access to kidney transplant (KTx) in the United States include increasing referrals to transplant programs, leading to more pretransplant services. Transplant programs reconcile the costs of these services through the Organ Acquisition Cost Center (OACC).

Objective: The aim of this study was to determine the costs associated with pretransplant services by applying microeconomic methods to OACC costs reported by transplant hospitals.

Research design, subjects, and measures: For all US adult kidney transplant hospitals from 2013 through 2018 (n=193), we crosslinked the total OACC costs (at the hospital-fiscal year level) to proxy measures of volumes of pretransplant services. We used a multiple-output cost function, regressing total OACC costs against proxy measures for volumes of pretransplant services and adjusting for patient characteristics, to calculate the marginal cost of each pretransplant service.

Results: Over 1015 adult hospital-years, median OACC costs attributable to the pretransplant services were $5 million. Marginal costs for the pretransplant services were: initial transplant evaluation, $9k per waitlist addition; waitlist management, $2k per patient-year on the waitlist; deceased donor offer management, $1k per offer; living donor evaluation, procurement and follow-up: $26k per living donor. Longer time on dialysis among patients added to the waitlist was associated with higher OACC costs at the transplant hospital.

Conclusions: To achieve the policy goals of more access to KTx, sufficient funding is needed to support the increase in volume of pretransplant services. Future studies should assess the relative value of each service and explore ways to enhance efficiency.

Background: Several antidementia medications have been approved for symptomatic treatment of cognitive and functional impairment due to Alzheimer disease. Antipsychotics are often prescribed off-label for behavioral symptoms.

Objective: The aim of this study was to describe the basis for regional variation in antidementia and antipsychotic medication use.

Setting: US nursing homes (n=9735), hospital referral regions (HRR; n=289).

Subjects: Long-stay residents with dementia (n=273,004).

Methods: Using 2018 Minimum Data Set 3.0 linked to Medicare data, facility information, and Dartmouth Atlas files, we calculated prevalence of use and separate multilevel logistic models [outcomes: memantine, cholinesterase inhibitor (ChEI), antipsychotic use] estimated adjusted odds ratios (aOR) and 95% CIs for resident, facility, and HRR characteristics. We then fit a series of cross-classified multilevel logistic models to estimate the proportional change in cluster variance (PCV).

Results: Overall, 20.9% used antipsychotics, 16.1% used memantine, and 23.3% used ChEIs. For antipsychotics, facility factors [eg, use of physical restraints (aOR: 1.08; 95% CI: 1.05-1.11) or poor staffing ratings (aOR: 1.10; 95% CI: 1.06-1.14)] were associated with more antipsychotic use. Nursing homes in HRRs with the highest health care utilization had greater antidementia drug use (aOR memantine: 1.68; 95% CI: 1.44-1.96). Resident/facility factors accounted for much regional variation in antipsychotics (PCV STATE : 27.80%; PCV HRR : 39.54%). For antidementia medications, HRR-level factors accounted for most regional variation (memantine PCV STATE : 37.44%; ChEI PCV STATE : 39.02%).

Conclusion: Regional variations exist in antipsychotic and antidementia medication use among nursing home residents with dementia suggesting the need for evidence-based protocols to guide the use of these medications.

Background: The Veterans Health Administration (VHA) has initiatives underway to enhance the provision of care coordination (CC), particularly among high-risk Veterans. Yet, evidence detailing the characteristics of and who receives VHA CC is limited.

Objectives: We examined intensity, timing, setting, and factors associated with VHA CC among high-risk Veterans.

Research design: We conducted a retrospective observational cohort study, following Veterans for 1 year after being identified as high-risk for hospitalization or mortality, to characterize their CC. Demographic and clinical factors predictive of CC were identified via multivariate logistic regression.

Subjects: A total of 1,843,272 VHA-enrolled high-risk Veterans in fiscal years 2019-2021.

Measures: We measured 5 CC variables during the year after Veterans were identified as high risk: (1) receipt of any service, (2) number of services received, (3) number of days to first service, (4) number of days between services, and (5) type of visit during which services were received.

Results: Overall, 31% of high-risk Veterans in the sample received CC during one-year follow-up. Among Veterans who received ≥1 service, a median of 2 [IQR (1, 6)] services were received. Among Veterans who received ≥2 services, there was a median of 26 [IQR (10, 57)] days between services. Most services were received during outpatient psychiatry (46%) or medicine (16%) visits. Veterans' sociodemographic and clinical characteristics were associated with receipt of CC.

Conclusions: A minority of Veterans received CC in the year after being identified as high-risk, and there was variation in intensity, timing, and setting of CC. Research is needed to examine the fit between Veterans' CC needs and preferences and VHA CC delivery.

Objective: The Medicare Annual Wellness Visit (AWV)-a prevention-focused annual check-up-has been available to beneficiaries with Part B coverage since 2011. The objective of this study was to estimate the effect of Medicare AWVs on breast cancer screening and diagnosis.

Data sources and study setting: The National Cancer Institute's Surveillance, Epidemiology, and End Results cancer registry data linked to Medicare claims (SEER-Medicare), HRSA's Area Health Resources Files, the FDA's Mammography Facilities database, and CMS "Mapping Medicare Disparities" utilization data from 2013 to 2015.

Study design: Using an instrumental variables approach, we estimated the effect of AWV utilization on breast cancer screening and diagnosis, using county Welcome to Medicare Visit (WMV) rates as the instrument.

Data collection/extraction methods: 66,088 person-year observations from 49,769 unique female beneficiaries.

Principal findings: For every 1-percentage point increase in county WMV rate, the probability of AWV increased by 1.7 percentage points. Having an AWV was associated with a 22.4-percentage point increase in the probability of receiving a screening mammogram within 6 months ( P <0.001). There was no statistically significant increase in the probability of breast cancer diagnosis (overall or early stage) within 6 months of an AWV. Findings were robust to multiple model specifications.

Conclusions: Performing routine cancer screening is an evidence-based practice for diagnosing earlier-stage, more treatable cancers. The AWV effectively increases breast cancer screening and may lead to more timely screening. Continued investment in Annual Wellness Visits supports breast cancer screening completion by women who are most likely to benefit, thus reducing the risk of overscreening and overdiagnosis.

Background: Numerous US patients seek the hospital emergency department (ED) for behavioral health care. Community Health Centers (CHCs) offer a potential channel for redirecting many to a more patient-centered, lower cost setting.

Objective: The aim of this study was to identify unique market areas serviced by CHCs and to examine whether CHCs are effective in offsetting behavioral health ED visits.

Research design: We identified CHC-year specific service areas using patient origin zip codes. We then estimated random effects models applied to 42 federally qualified CHCs operating in New York State during 2013-2020. The dependent variables were numbers of ED mental health (substance use disorder) visits per capita in a CHC's service area, drawn from HCUP State Emergency Department Databases. Key explanatory variables measured CHC number of mental health (substance use disorder) visits, number of unique mental health (substance use disorder) patients, and mental health (substance use disorder) intensity, obtained from the HRSA Uniform Data System.

Results: Controlling for population, we observed small negative effects of CHC behavioral health integration in explaining ED behavioral health utilization. Measures of mental health utilization in CHCs were associated with 1.3%-9.3% fewer mental health emergency department visits per capita in Community Health Centers' service areas. Measures of substance use disorder utilization in Community Health Centers were associated with 1.3%-3.0% fewer emergency department visits per capita.

Conclusion: Results suggest that behavioral health integration in CHCs may reduce reliance on hospital EDs, but that policymakers explore more avenues for regional coordination strategies that align services between CHCs and local hospitals.

Background: We developed the Hospital-to-Home-Health Transition Quality (H3TQ) Index for skilled home healthcare (HH) agencies to identify threats to safe, high-quality care transitions in real time.

Objective: Assess the validity of H3TQ in a large sample across diverse communities.

Research design: A survey of recently hospitalized older adults referred for skilled HH services and their HH provider at two large HH agencies in Baltimore, MD, and New York, NY.

Subjects: There were five hundred eighty-seven participants (309 older adults, 141 informal caregivers, and 137 HH providers). Older adults, caregivers, and HH providers rated 747 unique transitions. Of these, 403 were rated by both the older adult/caregiver and their HH provider, whereas the remaining transitions were rated by either party.

Measures: Construct, concurrent, and predictive validity were assessed via the overall H3TQ rating, correlation with the care transition measure (CTM), and the Medicare Outcome and Assessment Information Set (OASIS).

Results: Proportion of transitions with quality issues as identified by HH providers and older adults/caregivers, respectively; Baltimore 55%, 35%; NYC 43%, 32%. Older adults/caregivers across sites rated their transitions as higher quality than did providers (P<0.05). H3TQ summed scores showed construct validity with the CTM-3 and concurrent validity with OASIS measures. Summed H3TQ scores were not significantly correlated with 30-day ED visits or rehospitalization.

Conclusions: The H3TQ identifies care transition quality issues in real-time and demonstrated construct and concurrent validity, but not predictive validity. Findings demonstrate value in collecting multiple perspectives to evaluate care transition quality. Implementing the H3TQ could help identify transition-quality intervention opportunities for HH patients.