Background

Evidence is limited and mixed as to how the Patient Protection and Affordable Care Act (ACA) Medicaid expansions affected the utilization of primary care physicians (PCPs) and emergency departments (EDs) at the national level.

Objective

To examine the association between the ACA Medicaid expansions and changes in the utilization of PCP and ED visits at the national level during the first 3 years (2014-2016) of the implementation.

Design

A difference-in-differences analysis to compare outcomes between individuals in 32 states that expanded Medicaid versus individuals in 19 non-expansion states.

Participants

A nationally representative sample of US-born individuals 26-64 years old with family incomes lower than 138% of the federal poverty level from the 2010-2016 Medical Expenditure Panel Survey.

Intervention

ACA Medicaid expansions MAIN MEASURES: We examined PCP-related outcomes ((i) whether a participant had any PCP visit during a year and (ii) the annual number of PCP visits per person) and ED-related outcomes ((i) whether a participant had any ED visit during a year and (ii) the annual number of ED visits per person).

Key results

A total of 17,803 participants were included in our analysis. We found that the proportion of individuals with any PCP visit during a year marginally increased (difference-in-differences estimate, + 3.6 percentage points [pp]; 95% CI, - 0.4 pp to + 7.6 pp; P = 0.08) following the Medicaid expansions, without any change in the annual number of PCP visits per person. We found no evidence that ED utilization (both the proportion of individuals with any ED visit during a year and the annual number of ED visits per person) changed meaningfully after the Medicaid expansions.

Conclusion

Using the nationally representative data of individuals who were affected by the ACA, we found that the ACA Medicaid expansions were associated with a modest improvement in access to PCPs without an increase in ED use.

Objectives

Evidence suggests that homeless patients experience worse quality of care and poorer health outcomes across a range of medical conditions. It remains unclear, however, whether differences in care delivery at safety-net versus non-safety-net hospitals explain these disparities. We aimed to investigate whether homeless versus non-homeless adults hospitalised for cardiovascular conditions (acute myocardial infarction (AMI) and stroke) experience differences in care delivery and health outcomes at safety-net versus non-safety-net hospitals.

Design

Cross-sectional study.

Setting

Data including all hospital admissions in four states (Florida, Massachusetts, Maryland, and New York) in 2014.

Participants

We analysed 167 105 adults aged 18 years or older hospitalised for cardiovascular conditions (age mean=64.5 years; 75 361 (45.1%) women; 2123 (1.3%) homeless hospitalisations) discharged from 348 hospitals.

Outcome measures

Risk-adjusted diagnostic and therapeutic procedure and in-hospital mortality, after adjusting for patient characteristics and state and quarter fixed effects.

Results

At safety-net hospitals, homeless adults hospitalised for AMI were less likely to receive coronary angiogram (adjusted OR (aOR), 0.42; 95% CI, 0.36 to 0.50; p<0.001), percutaneous coronary intervention (aOR, 0.52; 95% CI, 0.44 to 0.62; p<0.001) and coronary artery bypass graft (aOR, 0.43; 95% CI, 0.26 to 0.71; p<0.01) compared with non-homeless adults. Homeless patients treated for strokes at safety-net hospitals were less likely to receive cerebral arteriography (aOR, 0.23; 95% CI, 0.16 to 0.34; p<0.001), but were as likely to receive thrombolysis therapy. At non-safety-net hospitals, we found no evidence that the probability of receiving these procedures differed between homeless and non-homeless adults hospitalised for AMI or stroke. Finally, there were no differences in in-hospital mortality rates for homeless versus non-homeless patients at either safety-net or non-safety-net hospitals.

Conclusion

Disparities in receipt of diagnostic and therapeutic procedures for homeless patients with cardiovascular conditions were observed only at safety-net hospitals. However, we found no evidence that these differences influenced in-hospital mortality markedly.

BACKGROUND: In medicine, clinicians treat individuals under an implicit assumption that high-risk patients would benefit most from the treatment (high-risk approach). However, treating individuals with the highest estimated benefit using a novel machine-learning method (high-benefit approach) may improve population health outcomes. METHODS: This study included 10 672 participants who were randomized to systolic blood pressure (SBP) target of either <120 mmHg (intensive treatment) or <140 mmHg (standard treatment) from two randomized controlled trials (Systolic Blood Pressure Intervention Trial, and Action to Control Cardiovascular Risk in Diabetes Blood Pressure). We applied the machine-learning causal forest to develop a prediction model of individualized treatment effect (ITE) of intensive SBP control on the reduction in cardiovascular outcomes at 3 years. We then compared the performance of high-benefit approach (treating individuals with ITE >0) versus the high-risk approach (treating individuals with SBP ≥130 mmHg). Using transportability formula, we also estimated the effect of these approaches among 14 575 US adults from National Health and Nutrition Examination Surveys (NHANES) 1999-2018. RESULTS: We found that 78.9% of individuals with SBP ≥130 mmHg benefited from the intensive SBP control. The high-benefit approach outperformed the high-risk approach [average treatment effect (95% CI), +9.36 (8.33-10.44) vs +1.65 (0.36-2.84) percentage point; difference between these two approaches, +7.71 (6.79-8.67) percentage points, P-value <0.001]. The results were consistent when we transported the results to the NHANES data. CONCLUSIONS: The machine-learning-based high-benefit approach outperformed the high-risk approach with a larger treatment effect. These findings indicate that the high-benefit approach has the potential to maximize the effectiveness of treatment rather than the conventional high-risk approach, which needs to be validated in future research.

Background

Little is known about the association between the anxiety toward the effects of radiation on reproduction caused by the Fukushima nuclear accident and the birth rate of people in Fukushima. Therefore, we examined changes and associated factors of future pregnancy intention among mothers in Fukushima Prefecture.

Methods

Using data from three postal surveys among women who registered their pregnancies in the prefecture (N = 6,751 in 2012, N = 6,871 in 2013, and N = 6,725 in 2014), we analyzed the factors associated with women's intention of future pregnancy using multivariable logistic regression models.

Results

The proportion of mothers with pregnancy intention increased from 53.5% in 2012 to 57.9% in 2014, especially among multiparas (P for trend <0.001). Factors inversely associated with pregnancy intention of both groups were older maternal age (adjusted odds ratio [aOR] 0.92 for primipara and 0.87 for multipara), poor subjective health (aOR 0.75 and 0.81, respectively), and presence of depressive symptoms (aOR 0.71 and 0.79, respectively) (P < 0.01 for all items). In addition, not living with husband (aOR 0.24), dissatisfaction with obstetrical care (aOR 0.89) and child abnormalities (aOR 0.72) were inversely associated with pregnancy intention among primiparas, while receiving infertility treatment (aOR 2.05) was positively associated among multiparas (P < 0.01 for all items). A separate analysis of 2012 and 2013 data showed that concern about radiation contamination of breast milk was associated with pregnancy intention among primiparas (aOR 0.61, P < 0.001).

Conclusions

Mothers' concern about radiation was associated with lower pregnancy intention, especially among primiparas. Providing quality obstetrical and mental health care and parenting support may be the keys to maintaining the temporal increase in fertility.

Background

Evidence is limited as to whether the introduction of the Affordable Care Act (ACA)'s Medicaid expansions was associated with improvements in cardiovascular risk factors at the population level.

Objective

To examine the association between the ACA Medicaid expansions and changes in cardiovascular risk factors among low-income individuals during the first 3 years of the implementation of the ACA Medicaid expansions at the national level.

Design

A quasi-experimental difference-in-differences (DID) analysis to compare outcomes before (2005-2012) and after (2015-2016) the implementation of the ACA Medicaid expansions between individuals in states that expanded Medicaid and individuals in non-expansion states.

Participants

A nationally representative sample of individuals aged 19-64 years with family incomes below 138% of the federal poverty level from the 2005-2016 National Health and Nutrition Examination Survey (NHANES).

Intervention

ACA Medicaid expansions.

Main measures

Cardiovascular risk factors included (1) systolic and diastolic blood pressure, (2) hemoglobin A1c (HbA1c) level, and (3) cholesterol levels (low-density lipoprotein cholesterol, triglyceride, and high-density lipoprotein cholesterol).

Key results

A total of 9177 low-income individuals were included in our analysis. We found that the ACA Medicaid expansions were associated with a lower systolic blood pressure (DID estimate, - 3.03 mmHg; 95% CI, - 5.33 mmHg to - 0.73 mmHg; P = 0.01; P = 0.03 after adjustment for multiple comparisons) and lower HbA1c level (DID estimate, - 0.14 percentage points [pp]; 95% CI, - 0.24 pp to - 0.03 pp; P = 0.01; P = 0.03 after adjustment for multiple comparisons). We found no evidence that diastolic blood pressure and cholesterol levels changed following the ACA Medicaid expansions.

Conclusion

Using the nationally representative data of individuals who were affected by the ACA, we found that the ACA Medicaid expansions were associated with a modest improvement in cardiovascular risk factors related to hypertension and diabetes during the first 3 years of implementation.

Objective

To determine changes in industry marketing payments to physicians due to the covid-19 pandemic.

Design

Quasi experimental, difference-in-difference study.

Data source

US nationwide database of licensed physicians, the National Plan and Provider Enumeration System, which was linked to a database of industry marketing payments made to physicians, Open Payments.

Population

All licensed US physicians from 2018 to 2020 and those who received payments from industry.

Main outcome measures

Changes in the value and the number of monthly industry payments physician received before (January-February 2020) and during the pandemic (April-December 2020) were assessed, adjusting for physicians' characteristics (gender and specialty). As the control, data for the same months in 2019 were used. Industry payments by type of payments (eg, meals, travel, consulting fees, speaker compensation, honorariums), were also examined.

Results

Among 880 589 US physicians included in this study, 267 463 (30.4%) physicians received a total of 4 117 482 non-research payments with $626 million ($710 per physician; £610; €708) in 2020 (40-44% decrease from $1047m in 2018 and $1115m in 2019). Industry payments decreased significantly in the months of the covid-19 pandemic (adjusted change in the value of -48.4%; 95% confidence interval -50.6 to -46.2; P<0.001; and adjusted change in the number of -47.4%, 95% confidence interval -47.7 to -47.1; P<0.001), particularly for meals and travel fees. No evidence was seen of a decrease in the number of industry payments for consulting and honorariums. A similar pattern was observed across physicians' gender and specialty.

Conclusions

Industry payments to physicians, particularly those involving physical interactions such as meals and travel, substantially decreased during the pandemic. How such changes affect prescription practices and the quality of clinical practice in the long term should be investigated.

High-need, high-cost (HNHC) patients-usually defined as those who account for the top 5% of annual healthcare costs-use as much as half of the total healthcare costs. Accurately predicting future HNHC patients and designing targeted interventions for them has the potential to effectively control rapidly growing healthcare expenditures. To achieve this goal, we used a nationally representative random sample of the working-age population who underwent a screening program in Japan in 2013-2016, and developed five machine-learning-based prediction models for HNHC patients in the subsequent year. Predictors include demographics, blood pressure, laboratory tests (e.g., HbA1c, LDL-C, and AST), survey responses (e.g., smoking status, medications, and past medical history), and annual healthcare cost in the prior year. Our prediction models for HNHC patients combining clinical data from the national screening program with claims data showed a c-statistics of 0.84 (95%CI, 0.83-0.86), and overperformed traditional prediction models relying only on claims data.

Background

In low- and middle-income countries, there is scarcity of validated and reliable measurement tools for health facility management, and many interventions to improve primary health care (PHC) facilities are designed without adequate evidence base on what management practices are critical.

Objective

This article developed and validated a scorecard to measure management practices at primary health care facilities under the performance-based financing (PBF) scheme in Nigeria.

Methods

Relevant management practice domains and indicators for PHC facilities were determined based on literature review and a prior qualitative study conducted in Nigeria. The domains and indicators were tested for face validity via experts review and organized into an interviewer-administered scorecard. A stratified random sampling of PHC facilities in three States in Nigeria was conducted to assess the reliability and construct validity of the scorecard. Inter-rater reliability using inter-class correlation (ICC) (1, k) was assessed with one-way ANOVA. Exploratory factor analysis (EFA) was conducted to assess the construct validity, and an updated factor structure were developed.

Results

32 indicators and 6 management practice domains were initially described. Ordinal responses were derived for each indicator. Data on the scorecard were obtained from 111 PHC facilities. The ICC of mean ratings for each team of judges was 0.94. The EFA identified 6 domains (Stakeholder engagement and communication; Community-level activities; Update of plan and target; Performance management; Staff attention to planning, target, and performance; and Drugs and financial management) and reduced the number of indicators to 17. The average communality of selected items was 0.45, and item per factor ratio was 17:6.

Conclusions

Despite a few areas for further refinement, this paper presents a reliable and valid scorecard for measuring management practices in PHC facilities. The scorecard can be applied for routine supervisory visits to PHC facilities, and can help accumulate knowledge on facility management, how it affects performance, and how it may be strengthened.

Background

Despite possible major adverse cognitive, physical, social, and behavioral consequences, little is known about how persons living with dementia perceive satisfaction with life, a key component of well-being. We sought to examine (i) whether persons living with dementia perceive a lower level of satisfaction compared to their peers without dementia and (ii) whether the associations between individual characteristics and life satisfaction are different between persons living with and without dementia.

Methods

Using a nationally representative sample of community-dwelling older adults aged ≥70 years in the U.S. from the Health and Retirement Study, we compared scores on the Satisfaction with Life Scale (SWLS), a self-reported 5-item scale ranging from 1 to 7 (more satisfaction), between persons with probable dementia (n = 341) and those without (n = 5530), adjusting for individual characteristics. We also tested whether the associations between the individual characteristics and SWLS differ by dementia status.

Results

Scores on SWLS did not differ between persons with probable dementia and those without when adjusting for individual characteristics including limitations in activities of daily living (ADL) (adjusted difference, -0.09; 95% CI, -0.33 to +0.15; p-value, 0.45). However, dementia status was associated with lower life satisfaction through the mediation of limitations in ADL (total effect, -0.29; bootstrapped 95% CI, -0.47 to -0.12). Most individual characteristics associated with lower life satisfaction were similar in the two groups, including younger age, more limitations in ADL, and depression. Less wealth was associated with lower satisfaction among persons without dementia but not among those with probable dementia.

Conclusions

Dementia status was only modestly associated with lower life satisfaction through the mediation of limitations in ADL among participants who were able to provide response. Future research is warranted to determine whether life satisfaction can be used as a meaningful outcome when evaluating well-being among persons living with dementia.