Changes in Nursing Home Use Following Medicaid-Supported Expanded Access to Home- and Community-Based Services for Older Adults With Dementia.

Importance: New York State's Medicaid managed long-term care (MLTC) program expanded access to home- and community-based services, providing an alternative to nursing home care for people with dementia. Between 2012 and 2015, the state implemented mandatory MLTC for dual Medicare and Medicaid enrollees requiring more than 120 days of community-based long-term care. Objective: To evaluate changes in nursing home use among older adults with dementia following MLTC implementation. Design, Setting, and Participants: This cohort study used longitudinal data from January 1, 2011, to December 31, 2019, from the Minimum Data Set and Medicare administrative data. The study sample included New York State Medicare beneficiaries 65 years and older with dementia. New York City residents were excluded due to insufficient pre-study period data. Data were analyzed from January 1, 2011, to December 31, 2019. Exposure: Mandatory MLTC enrollment. Main Outcomes and Measures: Longitudinal models were used to evaluate changes in annual days of nursing home use following the staggered implementation of MLTC across 13 regions of the state. Two models were estimated: (1) a logistic regression model for any nursing home use in a given year and (2) a linear regression model of total nursing home days, conditional on any nursing home use. Models included annual event-time indicators specified as years until or since MLTC implementation. To capture MLTC effects for dual enrollees relative to non-dual Medicare enrollees, models included interaction terms for dual enrollment and event-time indicators. Results: This sample included 463 947 Medicare beneficiaries with dementia who lived in New York State between 2011 and 2019 (50.2% younger than 85 years; 64.4% women). Implementation of MLTC was associated with lower odds of nursing home use among dual enrollees, ranging from 8% lower odds 2 years post implementation (adjusted odds ratio, 0.92 [95% CI, 0.86-0.98]) to 24% lower odds 6 years post implementation (adjusted odds ratio, 0.76 [95% CI, 0.69-0.84]). Compared with a scenario of no MLTC, MLTC implementation was associated with an 8% reduction in annual days of nursing home use between 2013 and 2019 (mean, -5.6 [95% CI, -6.1 to -5.1] days per year). Conclusions and Relevance: The findings of this cohort study suggest that implementation of mandatory MLTC in New York State was associated with less nursing home use among dual enrollees with dementia and that MLTC may help prevent or delay nursing home placement among older adults with dementia.

Birth Certificate Validity and the Impact on Primary Cesarean Section Quality Measure in New York State.

In New York (NY), birth certificate data are routinely used for assessing quality of care and health outcomes such as primary cesarean section (PCS) rates. However rare events are often underreported. This study compared birth certificates to medical records, and examined the impact of underreporting on risk adjustment variables for PCS. We conducted an internal validation study using a random sample of 702 NY births in 2009. Sensitivity and positive predictive value (PPV) of rare events reported on birth certificates were determined using abstracted and matched medical records as the gold standard. To assess the impact, we calculated PCS odds ratios for variables in the risk-adjustment model before and after correcting for measurement error. The sensitivity and PPV of birth certificate data elements including those in the PCS risk model varied from 0 to 100. After correction for measurement error, PCS odds ratios increased for most variables. For example, the PCS odds ratio for those with no prior live births was 3.03 (95% CI 2.94, 3.13), but after correction of measurement error increased to 3.46 (95% CI 3.22, 3.67). A composite negative event variable including abruptio placenta, eclampsia, or infection was the only variable that decreased after correction and was no longer significant (uncorrected OR 3.06, 95% CI 2.86, 3.29; corrected OR 1.42, 95% CI 0.79, 2.59). Underreporting on birth certificates remains concerning and impacts the risk adjustment for quality measures. Without improved data validity, health plans' quality metrics do not fully account for patient case-mix.

Maternal Medicaid Recipient Status and Congenital Malformations among New York State Live Births in 2010.

BACKGROUND: Congenital malformations are a leading cause of infant mortality in the United States, and risk for some congenital malformations varies by socioeconomic status (SES). Medicaid provides health insurance for people with low income, and covers approximately half of all live births in the United States. Income level is one aspect of SES. Studies have shown relationships between SES and some congenital malformations. METHODS: This retrospective cohort study examined associations between maternal Medicaid recipient status and 46 congenital malformations in New York State for birth year 2010. The impact of Medicaid continuous enrollment (CE) status was evaluated in a sub-analysis of Medicaid recipients. Logistic regression was used to calculate adjusted odds ratios and 95% confidence intervals. RESULTS: The study cohort included 240,721 live births, 3778 infants with one or more congenital malformation of interest, and 118,631 maternal Medicaid recipients at the time of the infant's birth. Odds ratios for cleft lip with or without cleft palate and rectal atresia or stenosis were increased for Medicaid recipients compared with non-Medicaid recipients. However, odds ratios for cleft lip with or without cleft palate and rectal atresia or stenosis were decreased for CE compared with non-CE Medicaid recipients. CONCLUSION: Maternal Medicaid recipient status was associated with few of the 46 congenital malformations evaluated. However, some associations found were modified by CE in Medicaid. Birth Defects Research 109:1460-1470, 2017.© 2017 Wiley Periodicals, Inc.

Can prenatal care impact future well-child visits? The experience of a low income population in New York State Medicaid managed care.

To examine the association between maternal characteristics and care patterns and the subsequent utilization of well-child visits in a low income population in New York State (NYS). We analyzed Medicaid managed care birth data from 2004 to 2005 linked to an administrative database to obtain information on preventive well-care visits for the child. The outcome variable was whether the child had five or more well-child visits (WCVs) in their first 15 months of life. Of the 101,461 children in this study 67% had received five or more well-child visits by 15 months of age. This varied by region with a lesser proportion of children receiving well-child visits in New York City (NYC) and a higher proportion in the rest-of-state. Children born to mothers with intensive and adequate prenatal care were significantly more likely to have the necessary well-child visits. Foreign born women were more likely than US born women to bring their children in for well-child visits across all racial and ethnic groups. This study indicated that women who received adequate prenatal care were more likely to bring their children to well-child visits even after adjusting for maternal and infant characteristics. Maternal birthplace modified the association between race and well-child visits. The black-white disparity typically seen in WCVs in the United States was not found in NYC among children of US born women in Medicaid managed care.

Validation of birth certificate data in New York State.

Vital statistics birth certificate data are an important source of information for researchers, policy makers, and state officials to evaluate the quality of care delivered to pregnant women. The purpose of this study was to assess the validity of data elements being reported by the hospitals on the birth certificate record when compared to the medical record. This study used a random sample of birth certificates from two upstate and two downstate counties, in New York State, comprising a total of 100 records per county. The review assessed data elements from seven major categories: prenatal care, maternal medical risk factors, risk factors related to pregnancy, lifestyle risk factors, method of delivery, complications of labor and delivery, and infant information. Sensitivity, specificity, the positive predictive value and the negative predictive value assessed level of agreement between the birth certificate and the medical record. Overall, the birth certificate data reflected high specificity, because most conditions are rare. The sensitivity of the data was more varied, ranging from 0 to 100%, reflecting that if a rare condition was present it often was not documented on the birth certificate. Many of the data elements are reported accurately. However, caution should be used for data elements that are poorly reported.