When an experienced provider opts to leave a healthcare workforce (attrition), there are significant costs, both direct and indirect. Turnover of healthcare providers is underreported and understudied, despite evidence that it negatively impacts care delivery and negatively impacts working conditions for remaining providers. In the Veterans Affairs (VA) healthcare system, attrition of women’s health primary care providers (WH-PCPs) threatens a specially trained workforce; it is unknown what factors contribute to, or protect against, their attrition.

Even before the covid-19 pandemic, virtual consultations (also called telemedicine consultations) were on the rise, with many healthcare systems advocating a digital-first approach. At the start of the pandemic, many GPs and specialists turned to video consultations to reduce patient flow through healthcare facilities and limit infectious exposures. Video and telephone consultations also enable clinicians who are well but have to self-isolate, or who fall into high risk groups and require shielding, to continue providing medical care. The scope for video consultations for long term conditions is wide and includes management of diabetes, hypertension, asthma, stroke, psychiatric illnesses, cancers, and chronic pain. Video consultations can also be used for triage and management of a wide range of acute conditions, including, for example, emergency eye care triage. This practice pointer summarises the evidence on the use of video consultations in healthcare and offers practical recommendations for video consulting in primary care and outpatient settings.

Abstract

The distribution of health care payments to insurance plans has substantial consequences for social policy. Risk adjustment formulas predict spending in health insurance markets in order to provide fair benefits and health care coverage for all enrollees, regardless of their health status. Unfortunately, current risk adjustment formulas are known to underpredict spending for specific groups of enrollees leading to undercompensated payments to health insurers. This incentivizes insurers to design their plans such that individuals in undercompensated groups will be less likely to enroll, impacting access to health care for these groups. To improve risk adjustment formulas for undercompensated groups, we expand on concepts from the statistics, computer science, and health economics literature to develop new fair regression methods for continuous outcomes by building fairness considerations directly into the objective function. We additionally propose a novel measure of fairness while asserting that a suite of metrics is necessary in order to evaluate risk adjustment formulas more fully. Our data application using the IBM MarketScan Research Databases and simulation studies demonstrates that these new fair regression methods may lead to massive improvements in group fairness (eg, 98%) with only small reductions in overall fit (eg, 4%).

In late January 2020, China’s government initiated its first aggressive measures to combat COVID-19 by forbidding individuals from leaving their homes, radically limiting public transportation, cancelling or postponing large public events, and closing schools across the country. The rollout of these measures coincided with China’s Lunar New Year holiday, during which more than 280 million people had returned from their places of work to their home villages in rural areas. The disease control policies remained in place until late February and early March, when they were gradually loosened to allow for more free movement of people. Among those that were allowed to move again were the hundreds of millions of migrant workers who originally (before the COVID-19 outbreak) had expected to return to China’s urban and industrial centers to continue working in the nation’s factories, construction sites and service sector. 

Stanford Health Policy’s Joshua Salomon, a professor of medicine and senior fellow at the Freeman Spogli Institute for International Studies, and colleagues developed a mathematical model to examine the potential for contact tracing to reduce the spread of the coronavirus. They modeled contact tracing programs in the context of relaxed physical distancing under different assumptions for case detection, tracing coverage and the extent to which contact tracing can lead to effective quarantine and isolation.

Background:
Empirical evidence suggests that the uptake of maternal and child health (MCH) services is still low in poor rural areas of China. There is concern that this low uptake may detrimentally affect child health outcomes. Previous studies have not yet identified the exact nature of the impact that a conditional cash transfer (CCT) has on the uptake of MCH services and, ultimately, on child health outcomes. The objective of this study is to examine the relationship between CCT, uptake of MCH services, and health outcomes among children in poor rural areas of western China.

Methods:
We designated two different sets of villages and households that were used as comparisons against which outcomes of the treated households could be assessed. In 2014, we conducted a large-scale survey of 1522 households in 75 villages (including 25 treatment and 50 comparison) from nine nationally designated poverty counties in two provinces of China. In each village, 21 households were selected based on their eligibility status for the CCT program. Difference-in-difference analyses were used to assess the impact of CCT on outcomes in terms of both intention-to-treat (ITT) and average-treatment-effects-on-the-treated (ATT).

Results:
Overall, the uptake of MCH services in the sample households were low, especially in terms of postpartum care visits, early breastfeeding, exclusive breastfeeding, and physical examination of the baby. The uptake of the seven types of MCH services in the CCT treatment villages were significantly higher than that in the comparison villages. The results from both the ITT and ATT analyses showed that the CCT program had a positive, although small, impact on the uptake of MCH services and the knowledge of mothers of MCH health issues. Nonetheless, the CCT program had no noticeable effect on child health outcomes.

Conclusions:
The CCT program generated modest improvements in the uptake of MCH services and mothers’ knowledge of MCH services in poor rural areas of Western China. These improvements, however, did not translate into substantial improvements in child health outcomes for two potential reasons: poor CCT implementation and the low quality of rural health facilities.

In March 2020, when many U.S. states and localities issued their first emergency orders to address Covid-19, there was widespread acceptance of the government’s legal authority to respond quickly and aggressively to this unprecedented crisis. Today, that acceptance is fraying. As initial orders expire and states move to extend or modify them, legal challenges have sprouted. The next phase of the pandemic response will see restrictions dialed up and down as threat levels change.  As public and political resistance grows, further legal challenges are inevitable.