Although health care billing claims data have been widely used to study health care use, spending, and policy changes, their use in the study of infectious disease has been limited. Other data sources, including from the Centers for Disease Control and Prevention (CDC), have provided timelier reporting to outbreak experts. However, given the scope of SARS-CoV-2—the causative agent responsible for the novel coronavirus disease 2019 (COVID-19) pandemic—and the multidimensional impact of the crisis on the health care system, analyses relying on health care claims data have begun to appear. Claims-based COVID-19 studies have a role, but it is critical to understand the limitations of these data. We are concerned that many weaknesses are not recognized by those familiar with other forms of patient-level data. Below, we examine several major considerations and make suggestions about where claims data may be best leveraged to inform policy and decision making.

Epidemiological modeling has emerged as a crucial tool to help decision-makers combat COVID-19, with calls for non-pharmaceutical interventions such as stay-at-home orders and the wearing of masks. But those models have become ubiquitous and part of the public lexicon — so Nirav Shah and Jason Wang write that they should follow an impact-oriented approach.

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.

In a recent perspective published by the New England Journal of Medicine(NEJM), Stanford Law student Alexandra Daniels analyzed a growing body of federal litigation brought by prisoners with the hepatitis C virus (HCV) who are seeking access to treatment for their condition. With co-author and mentor, Law Professor David Studdert — also a professor of medicine at Stanford Health Policy — Daniels documented the dire public health problem of HCV in prisons.

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.

Vaccine hesitancy, the reluctance or refusal to receive vaccination, is a growing public health problem in the United States and globally. State policies that eliminate nonmedical (“personal belief”) exemptions to childhood vaccination requirements are controversial, and their effectiveness to improve vaccination coverage remains unclear given limited rigorous policy analysis. In 2016, a California policy (Senate Bill 277) eliminated nonmedical exemptions from school entry requirements. The objective of this study was to estimate the association between California’s 2016 policy and changes in vaccine coverage.

Background:

Patients with heart failure (HF) discharged from the hospital are at high risk for death and rehospitalization. Transitional care service interventions attempt to mitigate these risks.

Results of Base-Case Analysis:

All 3 transitional care interventions examined were more costly and effective than standard care, with NHVs dominating the other 2 interventions. Compared with standard care, NHVs increased QALYs (2.49 vs. 2.25) and costs ($81 327 vs. $76 705), resulting in an ICER of $19 570 per QALY gained.

Results of Sensitivity Analysis:

Results were largely insensitive to variations in in-hospital mortality, age at baseline, or costs of rehospitalization. Probabilistic sensitivity analysis confirmed that transitional care services were preferred over standard care in nearly all 10 000 samples, at willingness-to-pay thresholds of $50 000 or more per QALY gained.

Limitation:

Transitional care service designs and implementations are heterogeneous, leading to uncertainty about intervention effectiveness and costs when applied in particular settings.

Conclusion:

In older patients with HF, transitional care services are economically attractive, with NHVs being the most cost-effective strategy in many situations. Transitional care services should become the standard of care for postdischarge management of patients with HF.