Health technology assessment (HTA) organizations vary in terms of how they conduct assessments. We assess whether and to what extent HTA bodies have adopted societal and novel elements of value in their economic evaluations.

After categorizing “societal” and “novel” elements of value, we reviewed fifty-three HTA guidelines. We collected data on whether each guideline mentioned each societal or novel element of value, and if so, whether the guideline recommended the element’s inclusion in the base case, sensitivity analysis, or qualitative discussion in the HTA.

The HTA guidelines mention on average 5.9 of the twenty-one societal and novel value elements we identified (range 0–16), including 2.3 of the ten societal elements and 3.3 of the eleven novel value elements. Only four value elements (productivity, family spillover, equity, and transportation) appear in over half of the HTA guidelines, whereas thirteen value elements are mentioned in fewer than one-sixth of the guidelines, and two elements receive no mention. Most guidelines do not recommend value element inclusion in the base case, sensitivity analysis, or qualitative discussion in the HTA.

Ideally, more HTA organizations will adopt guidelines for measuring societal and novel value elements, including analytic considerations. Importantly, simply recommending in guidelines that HTA bodies consider novel elements may not lead to their incorporation into assessments or ultimate decision making.

The prevalence of serious psychological distress (SPD) was elevated during the COVID-19 pandemic in the USA, but the relationships of SPD during the pandemic with pre-pandemic SPD, pre-pandemic socioeconomic status, and pandemic-related social stressors remain unexamined.

A probability-based sample (N = 1751) of the US population age 20 and over was followed prospectively from February 2019 (T1), with subsequent interviews in May 2020 (T2) and August 2020 (T3). Multinomial logistic regression was used to assess prospective relationships between T1 SPD with experiences of disruption of employment, health care, and childcare at T2. Binary logistic regression was then used to assess relationships of T1 SPD, and socioeconomic status and T2 pandemic-related stressors with T3 SPD.

At T1, SPD was associated with age, race/ethnicity, and household income. SPD at T1 predicted disruption of employment (OR 4.5, 95% CI 1.4–3.8) and health care (OR 3.2, 95% CI 1.4–7.1) at T2. SPD at T1 (OR 10.2, 95% CI 4.5–23.3), low household income at T1 (OR 2.6, 95% CI 1.1–6.4), disruption of employment at T2 (OR 3.2, 95% CI 1.4–7.6), and disruption of healthcare at T2 (OR 3.3, 95% CI 1.5–7.2) were all significantly associated with elevated risk for SPD at T3.

Elevated risk for SPD during the COVID-19 pandemic is related to multiple psychological and social pathways that are likely to interact over the life course. Policies and interventions that target individuals with pre-existing mental health conditions as well as those experiencing persistent unemployment should be high priorities in the mental health response to the pandemic.

The coronavirus disease (COVID-19) pandemic and associated social distancing increased stressors related to risk for domestic conflict, but increases in domestic conflict early in the pandemic have yet to be studied in community samples.

Increase in domestic conflict (verbal or physical fights) since the beginning of the pandemic was assessed in 1196 partnered and cohabitating respondents, drawn from a nationally representative sample, in May 2020. Chi-square tests and logistic regression analyses were used to estimate associations of demographic characteristics and financial worry with domestic conflict.

An increase in domestic conflict was reported by 10.6% (95% CI: 7.7-13.4) of the sample. Domestic conflict increase was significantly associated with younger age, lower education, and financial worry.

Increases in domestic conflict were seen in certain vulnerable groups and in those who report financial worry. Policies ensuring financial stability, particularly early in the disaster conditions, could reduce domestic conflict during continued COVID-19 conditions or other disasters.