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AimsTo assess whether nursing home (NH) residents with type 2 diabetes mellitus (T2D) preferentially received "T2D-friendly" (vs "T2D-unfriendly") β-blockers after acute myocardial infarction (AMI), and to evaluate the comparative effects of the two groups of β-blockers.Materials and methodsThis new-user retrospective cohort study of NH residents with AMI from May 2007 to March 2010 used national data from the Minimum Data Set and Medicare system. T2D-friendly β-blockers were those hypothesized to increase peripheral glucose uptake through vasodilation: carvedilol, nebivolol and labetalol. Primary outcomes were hospitalizations for hypoglycaemia and hyperglycaemia in the 90 days after AMI. Secondary outcomes were functional decline, death, all-cause re-hospitalization and fracture hospitalization. We compared outcomes using binomial and multinomial logistic regression models after propensity score matching.ResultsOf 2855 NH residents with T2D, 29% initiated a T2D-friendly β-blocker vs 24% of 6098 without T2D (P

Introduction: Limited evidence exists on health system characteristics associated with initial and long-term prescribing of opioids and nonsteroidal anti-inflammatory drugs (NSAIDs) following total hip and knee arthroplasty (THA/TKA), and if these characteristics differ among individuals based on preoperative NSAID exposure. We identified orthopedic surgeon opioid prescribing practices, hospital characteristics, and regional factors associated with initial and long-term prescribing of opioids and NSAIDs among older adults receiving THA/TKA. Materials and Methods: This observational study included opioid-naïve Medicare beneficiaries aged ≥65 years receiving elective THA/TKA between January 1, 2014 and July 4, 2017. We examined initial (days 1-30 following THA/TKA) and long-term (days 90-180) opioid or NSAID prescribing, stratified by preoperative NSAID exposure. Risk ratios (RRs) for the associations between 10 health system characteristics and case-mix adjusted outcomes were estimated using multivariable Poisson regression models. Results: The study population included 23,351 NSAID-naïve and 10,127 NSAID-prevalent individuals. Increases in standardized measures of orthopedic surgeon opioid prescribing generally decreased the risk of initial NSAID prescribing but increased the risk of long-term opioid prescribing. For example, among NSAID-naïve individuals, the RRs (95% confidence intervals [CIs]) for initial NSAID prescribing were 0.95 (0.93-0.97) for 1-2 orthopedic surgeon opioid prescriptions per THA/TKA procedure, 0.94 (0.92-0.97) for 3-4 prescriptions per procedure, and 0.91 (0.89-0.93) for 5+ opioid prescriptions per procedure (reference: <1 opioid prescription per procedure), while the RRs (95% CIs) for long-term opioid prescribing were 1.06 (1.04-1.08), 1.08 (1.06-1.11), and 1.13 (1.11-1.16), respectively. Variation in postoperative analgesic prescribing was observed across U.S. regions. For example, among NSAID-naïve individuals, the RR (95% CIs) for initial opioid prescribing were 0.98 (0.96-1.00) for Region 2 (New York), 1.09 (1.07-1.11) for Region 3 (Philadelphia), 1.07 (1.05-1.10) for Region 4 (Atlanta), 1.03 (1.01-1.05) for Region 5 (Chicago), 1.16 (1.13-1.18) for Region 6 (Dallas), 1.10 (1.08-1.12) for Region 7 (Kansas City), 1.09 (1.06-1.12) for Region 8 (Denver), 1.09 (1.07-1.12) for Region 9 (San Francisco), and 1.11 (1.08-1.13) for Region 10 (Seattle) (reference: Region 1 [Boston]). Hospital characteristics were not meaningfully associated with postoperative analgesic prescribing. The relationships between health system characteristics and postoperative analgesic prescribing were similar for NSAID-naïve and NSAID-prevalent participants. Discussion: Future efforts aiming to improve the use of multimodal analgesia through increased NSAID prescribing and reduced long-term opioid prescribing following THA/TKA could consider targeting orthopedic surgeons with higher standardized opioid prescribing measures. Conclusions: Orthopedic surgeon opioid prescribing measures and U.S. region were the greatest health system level predictors of initial, and long-term, prescribing of opioids and prescription NSAIDs among older Medicare beneficiaries following THA/TKA. These results can inform future studies that examine why variation in analgesic prescribing exists across geographic regions and levels of orthopedic surgeon opioid prescribing. [ABSTRACT FROM AUTHOR]

Objective We analyze fertility preferences among women at risk of pregnancy with children ages five or younger as a function of two food security metrics: perceptions of household hunger and child stunting (height for age z scores [less than or equal to] -2.0) in order to convey a robust picture of food insecurity. Methods We use data from the 2016 Tanzania Demographic and Health Surveys to analyze this research question. Multinomial generalized logit models with cluster-adjusted standard errors are used to determine the association between different dimensions of food insecurity and individual-level fertility preferences. Results On average, women who experience household hunger are 19% less likely to want more children compared to women who do not experience household hunger (AOR: 0.81, p = 0.02) when controlling for education, residence, maternal age, number of living children, and survey month. Adjusting for the same covariates, having at least one child [less than or equal to] 5 years old who is stunted is associated with 13% reduced odds of wanting more children compared to having no children stunted (AOR: 0.87, p = 0.06). Conclusions for Practice In the context of a divided literature base, this research aligns with the previous work identifying a preference among women to delay or avoid pregnancy during times of food insecurity. The similarity in magnitude and direction of the association between food insecurity and fertility preferences across the two measures of food insecurity suggest a potential association between lived or perceived resource insecurity and fertility aspirations. Further research is needed in order to establish a mechanism through which food insecurity affects fertility preferences. Significance Statement Individual fertility preferences are sensitive to dynamic multi-level factors in a woman's life. While qualitative research has explored the effect that food insecurity and associated resource constraints have on fertility preferences, results are conflicting. Here, we quantitatively examine how individual woman's fertility preferences associate with two measures of food insecurity and qualitatively compare the associations across food insecurity measures. We establish that two food insecurity measures- household hunger and child stunting- capture similar populations and have similar associations with fertility preferences. This is a critical step forward in understanding the dynamic relationship between resource availability, child well-being, and fertility preferences., Author(s): Kira DiClemente [sup.1] , Kathryn Grace [sup.2] , Trace Kershaw [sup.3] , Elliott Bosco [sup.1] , Debbie Humphries [sup.3] Author Affiliations: (1) grid.40263.33, 0000 0004 1936 9094, Brown University [...]

Background: Influenza vaccination varies widely across long-term care facilities (LTCFs) due to staff behaviors, LTCF practices, and patient factors. It is unclear how seasonal LTCF vaccination varies between cohabitating but distinct short-stay and long-stay residents. Thus, we assessed the correlation of LTCF vaccination between these populations and across seasons.Methods: The study design is a national retrospective cohort using Medicare and Minimum Data Set (MDS) data. Participants include U.S. LTCFs. Short-stay and long-stay Medicare-enrolled residents age ≥ 65 in U.S. LTCFs from a source population of residents during October 1st-March 31st in 2013-2014 (3,042,881 residents; 15,683 LTCFs) and 2014-2015 (3,143,174, residents; 15,667 LTCFs). MDS-assessed influenza vaccination was the outcome. Pearson correlation coefficients were estimated to assess seasonal correlations between short-stay and long-stay resident vaccination within LTCFs.Results: The median proportion of short-stay residents vaccinated across LTCFs was 70.4% (IQR, 50.0-82.7%) in 2013-2014 and 69.6% (IQR, 50.0-81.6%) in 2014-2015. The median proportion of long-stay residents vaccinated across LTCFs was 85.5% (IQR, 78.0-90.9%) in 2013-2014 and 84.6% (IQR, 76.6-90.3%) in 2014-2015. Within LTCFs, there was a moderate correlation between short-stay and long-stay vaccination in 2013-2014 (r = 0.50, 95%CI: 0.49-0.51) and 2014-2015 (r = 0.53, 95%CI: 0.51-0.54). Across seasons, there was a moderate correlation for LTCFs with short-stay residents (r = 0.54, 95%CI: 0.53-0.55) and a strong correlation for those with long-stay residents (r = 0.68, 95%CI: 0.67-0.69).Conclusions: In LTCFs with inconsistent influenza vaccination across seasons or between populations, targeted vaccination protocols for all residents, regardless of stay type, may improve successful vaccination in this vulnerable patient population. [ABSTRACT FROM AUTHOR]

Background We sought to determine if racial differences in influenza vaccination among nursing home (NH) residents during the 2008–2009 influenza season persisted in 2018–2019. Methods We conducted a cross-sectional study of NHs certified by the Centers for Medicare & Medicaid Services during the 2018–2019 influenza season in US states with ≥1% Black NH residents and a White–Black gap in influenza vaccination of NH residents (N = 2 233 392) of at least 1 percentage point (N = 40 states). NH residents during 1 October 2018 through 31 March 2019 aged ≥18 years and self-identified as being of Black or White race were included. Residents' influenza vaccination status (vaccinated, refused, and not offered) was assessed. Multilevel modeling was used to estimate facility-level vaccination status and inequities by state. Results The White–Black gap in influenza vaccination was 9.9 percentage points. In adjusted analyses, racial inequities in vaccination were more prominent at the facility level than at the state level. Black residents disproportionately lived in NHs that had a majority of Blacks residents, which generally had the lowest vaccination. Inequities were most concentrated in the Midwestern region, also the most segregated. Not being offered the vaccine was negligible in absolute percentage points between White residents (2.6%) and Black residents (4.8%), whereas refusals were higher among Black (28.7%) than White residents (21.0%). Conclusions The increase in the White–Black vaccination gap among NH residents is occurring at the facility level in more states, especially those with the most segregation. [ABSTRACT FROM AUTHOR]