Factors influencing how informal caregivers of people with multiple sclerosis access and use a curated intervention website: Analysis from an RCT.

Objective: Healthcare consumers and providers are increasingly turning to digital solutions, such as curated websites. Knowing who accesses/benefits from these may improve design and development. This study investigated website usage of informal caregivers of people with multiple sclerosis and shifts in outcome plausibly associated with usage. Methods: Secondary analysis of data from a randomized clinical trial of 148 caregivers compared effectiveness of a website + tele-coaching to a website only intervention for caregivers. Groupwise differences in means/proportions were tested using t-tests and chi-square. Modified Poisson regression with a robust variance estimator and ordinal logistic regression tested the relationship between group and likelihood of website log-in. Ordinal logistic regression models examined whether caregiver characteristics were associated with website use. Generalized estimating equations (GEE) with an autoregressive correlation structure modeled the relationship between website usage and outcomes. Results: Females were more likely to access the website than males (60% vs. 43%; p = 0.05). Though not statistically significant, a possible association (POR: .85, 95% CI: .69, 1.03) between caregiver burden and website access emerged; caregivers experiencing highest levels of burden appeared less likely to engage. Usage patterns differed by treatment arm: the website-only group accessed the Caring for yourself topic significantly more (61.67% vs. 38.33%: p = .04) with similar, but insignificant, trends for other topics. Conclusions: Clinicians can be confident referring females with moderate levels of burden to website-based interventions. By contrast, male caregivers and those experiencing high levels of burden may be less likely to access these resources, pointing to the need for alternative interventions. Trial Registration: Clinicaltrials.gov, registration number: NCT0466208.

The impact of team-based primary care on medication-related outcomes in older adults: A comparative analysis of two Canadian provinces.

Objective: To evaluate if access to team-based primary care is related to medication management outcomes for older adults. Methods: We completed two retrospective cohort studies using administrative health data for older adults (66+) in Ontario (n = 428,852) and Québec (n = 310,198) who were rostered with a family physician (FP) between the 2001/02 and 2017/18 fiscal years. We generated matched comparison groups of older adults rostered to an FP practicing in a team-based model, and older adults rostered to an FP in a non-team model. We compared the following outcomes between these groups: any adverse drug reactions (ADRs), any potentially inappropriate prescription (PIP), and polypharmacy. Average treatment effects of access to team-based care were estimated using a difference-in-differences estimator. Results: The risk of an ADR was 22 % higher (RR = 1.22, 95 % CI = 1.18, 1.26) for older adults rostered to a team-based FP in Québec and 6 % lower (RR = 0.943, 95 % CI = 0.907, 0.978) in Ontario. However, absolute risk differences were less than 0.5 %. Differences in the risk of polypharmacy were small in Québec (RR = 1.005, 95 % CI = 1.001, 1.009) and Ontario (RR = 1.004, 95 % CI = 1.001, 1.007) and had absolute risk differences of less than 1 % in both provinces. Effects on PIP were not statistically or clinically significant in adjusted models. Interpretation: We did not find evidence that access to team-based primary care in Ontario or Québec meaningfully improved medication management outcomes for older adults.

Team-based primary care reforms and older adults: a descriptive assessment of sociodemographic trends and prescribing endpoints in two Canadian provinces.

BACKGROUND: Team-based primary care reforms aim to improve care coordination by involving multiple interdisciplinary health professionals in patient care. Team-based primary care may support improved medication management for older adults with polypharmacy and multiple points of contact with the healthcare system. However, little is known about this association. This study compares sociodemographic and prescribing trends among older adults in team-based vs. traditional primary care models in Ontario and Quebec. METHODS: We constructed two provincial cohorts using population-level health administrative data from 2006-2018. Our primary exposure was enrollment in a team-based model of care. Key endpoints included adverse drug events (ADEs), potentially inappropriate prescriptions (PIPs), and polypharmacy. We plotted prescribing trends across the observation period (stratified by model of care) in each province. We used standardized mean differences to compare characteristics of older adults and providers, as well as prescribing endpoints. RESULTS: Formal patient/physician enrollment increased in both provinces since the time of policy implementation; team-based enrollment among older adults was higher in Quebec (47%) than Ontario (33%) by the end of our observation period. The distribution of sociodemographic characteristics was reasonably comparable between team-based and non-team-based patients in both provinces, aside from a persistently higher share of rural patients in team-based care. Most PIPs assessed either declined or remained relatively steady over time, regardless of model of care and province. Several PIPs were more common among team-based patients than non-team-based patients, particularly in Quebec. We did not detect notable trends in ADEs or polypharmacy in either province. CONCLUSIONS: Our findings offer encouraging evidence that many PIPs are declining over time in this population, regardless of patients' enrollment in team-based care. Rates of decline appear similar across models of care, suggesting these models may not meaningfully influence prescribing endpoints. Additional efforts are needed to understand the impact of team-based care among older adults and improve primary care prescribing practices.

The effects of early pregnancy loss on health outcomes and health care utilization and costs.

OBJECTIVE: To evaluate the effects of early pregnancy loss on subsequent health care use and costs. DATA SOURCES: Linked administrative health databases from Manitoba, Canada. STUDY DESIGN: This was a population-based cohort study. The exposure of interest was first recorded ectopic pregnancy or miscarriage (EPM). Outcomes included visits to all ambulatory care providers, family physicians (FPs), specialists, and hospitals, as well as the costs associated with these visits. We also assessed the impact of EPM on a global measure of health service utilization and the incidence and costs of psychotropic medications. DATA COLLECTION/EXTRACTION METHODS: We identified women who experienced their first recorded loss (EPM) from 2003-2012 and created a propensity score model to match these women to women who experienced a live birth, with outcome measures available through 31 December 2014. We used a difference in differences approach with multivariable negative binomial models and generalized estimating equations (GEE) to assess the impact of EPM on the aforementioned health care utilization indicators. PRINCIPAL FINDINGS: EPM was associated with a short-term increase in visits to, and costs associated with, certain ambulatory care providers. These findings were driven in large part by increased visits/costs to FPs (rate difference [RD]: $19.92 [95% CI: $16.33, $23.51]) and obstetrician-gynecologists (OB-GYNs) (RD $9.41 [95% CI: $8.42, $10.40]) in the year immediately following the loss, excluding care associated with the loss itself. We also detected an increase in hospital stays and costs and a decrease in the use of psychotropic medications relative to matched controls. CONCLUSION: Pregnancy loss may lead to subsequent increases in certain types of health care utilization. While the absolute costs associated with post-EPM care are relatively small, the observed patterns of service utilization are informative for providers and policy makers seeking to support women following a loss.

Prevalence and clinical, social, and health care predictors of miscarriage.

BACKGROUND: Pregnancy loss is common and several factors (e.g. chromosomal anomalies, parental age) are known to increase the risk of occurrence. However, much existing research focuses on recurrent loss; comparatively little is known about the predictors of a first miscarriage. Our objective was to estimate the population-level prevalence of miscarriages and to assess the contributions of clinical, social, and health care use factors as predictors of the first detected occurrence of these losses. METHODS: In this population-based cohort study, we used linked administrative health data to estimate annual rates of miscarriage in the Manitoba population from 2003 to 2014, as a share of identified pregnancies. We compared the unadjusted associations between clinical, social, and health care use factors and first detected miscarriage compared with a live birth. We estimated multivariable generalized linear models to assess whether risk factors were associated with first detected miscarriage controlling for other predictors. RESULTS: We estimated an average annual miscarriage rate of 11.3%. In our final sample (n = 79,978 women), the fully-adjusted model indicated that use of infertility drugs was associated with a 4 percentage point higher risk of miscarriage (95% CI 0.02, 0.06) and a past suicide attempt with a 3 percentage point higher risk (95% CI -0.002, 0.07). Women with high morbidity were twice as likely to experience a miscarriage compared to women with low morbidity (RD = 0.12, 95% CI 0.09, 0.15). Women on income assistance had a 3 percentage point lower risk (95% CI -0.04, -0.02). CONCLUSIONS: We estimate that 1 in 9 pregnant women in Manitoba experience and seek care for a miscarriage. After adjusting for clinical factors, past health care use and morbidity contribute important additional information about the risk of first detected miscarriage. Social factors may also be informative.

Constructing a longitudinal database of targeted regulation of abortion providers laws.

OBJECTIVE: To build a longitudinal state-level database on targeted regulation of abortion providers (TRAP) laws. DATA SOURCES: Primary sources included state websites, Lexis Nexis Quicklaw, and WestlawNext. We used a range of secondary sources to pinpoint policy timing. STUDY DESIGN: This was a state-level review of TRAP shifts from 1973 to present. DATA COLLECTION: We captured data on TRAP policy activity and timing, focusing specifically on ambulatory surgical center (ASC) laws, admitting privilege requirements, and transfer agreements. PRINCIPAL FINDINGS: Twenty-five states had ever enacted an ASC, admitting privilege, or transfer agreement law. Many currently face legal challenges. CONCLUSIONS: Targeted regulation of abortion providers laws are favored by many states as a way to regulate abortion provision. These data can be used to better understand the impact of these laws.

Quantifying the impact of targeted regulation of abortion provider laws on US abortion rates: a multi-state assessment.

OBJECTIVES: In this paper, we estimate the average effect of two common TRAP (targeted regulation of abortion providers) laws on abortion rates using a novel longitudinal database of state-level policy shifts. STUDY DESIGN: We merged several sources of policy, abortion, and sociodemographic data from 1991-2014. We used a difference-in-differences design to control for time-fixed state-level characteristics and common factors affecting abortion trends across all states, as well as measured time-varying state-level factors that may impact TRAP enforcement and abortion rates. We used generalized linear models with cluster-robust standard errors to obtain our estimates. RESULTS: Enforcement of ambulatory surgical center (ASC) laws reduced the abortion rate by 1.25 abortions per 1000 women aged 15-44 (95% CI: -3.39, .89), and admitting privilege laws increased the abortion rate by .57 abortions per 1000 women aged 15-44 (95% CI: -.68, 1.83), but neither effect was statistically distinguishable from zero. Our findings were robust to the inclusion of covariates and various sensitivity analyses. CONCLUSION: Our results suggest that ASC and admitting privilege laws did not, on average, lead to a meaningful change in abortion rates. IMPLICATIONS: US abortion rates are currently at record lows, but our findings suggest that TRAP laws are not a meaningful driver of this trend. However, this does not mean that these laws are without consequence in a particular state (or a given year). Researchers should assess the average long-run impact of TRAP laws on other outcomes in the future.

Assessing the impact of TRAP laws on abortion and women's health in the USA: a systematic review.

INTRODUCTION: Targeted Regulation of Abortion Providers (TRAP) laws impose extensive and sometimes costly requirements on abortion providers and facilities, potentially leading to barriers to care. Understanding the impact of these laws is important given their prevalence in the USA, but no review to date has summarised the available evidence. We conducted a systematic review of literature on TRAP laws and their impact on abortion trends and women's health. METHODS: We searched MEDLINE, PubMed and EconLit for original, quantitative studies where the exposure was at least one TRAP policy and the outcome was abortion and/or any women's physical or mental health outcome. RESULTS: Six articles met our inclusion criteria. The most common outcome was population-level abortion trends; studies also assessed the effect of TRAP laws on gestational age at presentation and measures of self-perceived burden. While certain TRAP laws (eg, admitting privilege requirements) appeared to have an effect on abortion outcomes, the impact of other laws - or combinations of laws - was unclear, due in part to heterogeneity between studies with respect to study design, geography, and exposure definition. CONCLUSIONS: TRAP laws may have an impact on the experience of obtaining an abortion in the USA. However, our review revealed a paucity of empirical research on their population and individual-level impact, as well as some disagreement about the effect of different TRAP laws on subsequent abortion outcomes. Future research should prioritise the specific TRAP laws that may have a uniquely strong effect on state-level abortion rates and other outcomes.

The Zika epidemic and abortion in Latin America: a scoping review.

BACKGROUND: Latin America presently has the world's highest burden of Zika virus, but there are unexplained differences in national rates of congenital malformations collectively referred to as Congenital Zika Syndrome (CZS) in the region. While Zika virulence and case detection likely contribute to these differences, policy-related factors, including access to abortion, may play important roles. Our goal was to assess perspectives on, and access to, abortion in Latin America in the context of the Zika epidemic. METHODS: We conducted a scoping review of peer-reviewed and gray literature published between January 2015 and December 2016, written in English, Spanish, Portuguese, or French. We searched PubMed, Scielo, and Google Scholar for literature on Zika and/or CZS and abortion, and used automated and manual review methods to synthesize the existing information. RESULTS: 36 publications met our inclusion criteria, the majority of which were qualitative. Publications were generally in favor of increased access to safe abortion as a policy-level response for mitigating the impact of CZS, but issues with implementation were cited as the main challenge. Aside from the reform of abortion regulation in Colombia, we did not find evidence that the Zika epidemic had triggered shifts in abortion policy in other countries. CONCLUSION: Abortion policy in the region remained largely unchanged following the Zika epidemic. Further empirical research on abortion access and differential rates of CZS across Latin American countries is required.

Does Segregation Lead to Lower Birth Weight?: An Instrumental Variable Approach.

BACKGROUND: Racial residential segregation in the United States has been linked to racial differences in birth outcomes, with studies reporting associations between segregation and birth weight. However, this relationship is likely confounded, and many individual and neighborhood-level covariates included in previous models are likely mediators, potentially obscuring any causal impact of segregation on birth weight. METHODS: We compiled a record of non-Hispanic black and white singleton births to US-born/resident mothers in 2000, linked to segregation indices at the metropolitan statistical area (MSA) level in the non-Southern US. Segregation was measured via the dissimilarity index. The outcomes were individual-level birth weight and the metropolitan statistical area-level black/white gap in birth weight. We instrumented for segregation using the railroad division index. We compared race-stratified ordinary least squares models to two-stage least squares models, with cluster robust standard errors. RESULTS: We estimated a 1.2 g decrease in black birth weight for every one-percentage point increase in segregation (95% confidence interval [CI]: -1.9, -0.50) via ordinary least squares but a 2.8 g decrease (95% CI: -6.0, 0.48) using two-stage least squares. For white infants, our ordinary least squares estimate was 0.53 (95% CI: -0.23, 1.3), and our two-stage least squares estimate was in the opposite direction (-0.68, 95% CI: -3.5, 2.1). CONCLUSIONS: Ordinary least squares estimates may understate the effect of segregation on birth weight in blacks. Evidence from instrumental variable models was consistent with a causal impact of segregation on black birth outcomes, but estimates were imprecise and may be affected by weak instrument bias.

Challenges in reproducing results from publicly available data: an example of sexual orientation and cardiovascular disease risk.

BACKGROUND: Replication is a vital part of the research process and has recently received considerable attention. Analyses using publicly available data should, if adequately described, be reproducible without assistance from the original investigators. Using data from the US National Health and Nutrition Examination Survey (NHANES), a recent study reported a statistically significant difference in cardiovascular disease risk comparing subgroups of sexual minority men. We attempted to reproduce these findings and assessed whether the results were robust to alternative analytic strategies and assumptions. METHODS: We used the exclusion criteria and coding strategy described in the original paper to construct our analytical data set. Sampling weights were constructed in accordance with NHANES analytical guidelines. We estimated crude and covariate-adjusted associations between sexual orientation and vascular age using the regression models specified in the original report. We also conducted a series of sensitivity analyses to improve on the original findings. RESULTS: Our replication attempt was partially successful: we replicated the general trends reported in the original analysis, but not identical effect estimates. Importantly, we identified a potential misapplication of the Framingham Risk Score; correcting for this increased the probability that the reported null hypothesis test was a type I error. CONCLUSIONS: This paper supports the recent calls for greater transparency and improved reporting in research. Even with a publicly available and well-documented data source, we were unable to exactly replicate another study's original findings. Our sensitivity analyses revealed key issues in the original analysis and demonstrate the scientific importance of research replication.

Neighborhood socioeconomic conditions and depression: a systematic review and meta-analysis.

PURPOSE: The evidence linking neighborhood socioeconomic conditions (NSEC) with depression is mixed. We performed a systematic review of this literature, including a rigorous quality assessment that was used to explore if methodological or contextual factors explained heterogeneity across studies. METHODS: A systematic literature search in three databases identified longitudinal studies among adolescents and adults living in high-income countries. Two independent reviewers screened studies for inclusion and performed data abstraction. We conducted a formal quality assessment and investigated sources of study heterogeneity. RESULTS: Our database search identified 3711 articles, 84 of which were determined to be potentially relevant, and 14 articles were included in this review. About half of the studies found a significant association between NSEC and depression, and pooled estimates suggest poorer socioeconomic conditions were associated with higher odds of depression (OR = 1.14, 95% CI 1.01, 1.28). Study results varied by follow-up time. Among studies with less than 5 years of follow-up, there was a significant association between NSEC and depression (OR = 1.28, 95% CI 1.13, 1.44), although pooling of study results may not be warranted due to heterogeneity across studies. Among studies with at least 5 years of follow-up, which were homogeneous, there was no association (OR = 1.00, 95% CI 0.95, 1.06) between NSEC and depression. CONCLUSIONS: We found inconsistent evidence in support of a longitudinal association between NSEC and depression, and heterogeneity according to the length of follow-up time might partly explain the mixed evidence observed in the literature on NSEC and depression.