Changes in Health Care Workers' Economic Outcomes Following Medicaid Expansion.

Importance: The extent to which changes in health sector finances impact economic outcomes among health care workers, especially lower-income workers, is not well known. Objective: To assess the association between state adoption of the Affordable Care Act's Medicaid expansion-which led to substantial improvements in health care organization finances-and health care workers' annual incomes and benefits, and whether these associations varied across low- and high-wage occupations. Design, Setting, and Participants: Difference-in-differences analysis to assess differential changes in health care workers' economic outcomes before and after Medicaid expansion among workers in 30 states that expanded Medicaid relative to workers in 16 states that did not, by examining US individuals aged 18 through 65 years employed in the health care industry surveyed in the 2010-2019 American Community Surveys. Exposure: Time-varying state-level adoption of Medicaid expansion. Main Outcomes and Measures: Primary outcome was annual earned income; secondary outcomes included receipt of employer-sponsored health insurance, Medicaid, and Supplemental Nutrition Assistance Program benefits. Results: The sample included 1 322 263 health care workers from 2010-2019. Health care workers in expansion states were similar to those in nonexpansion states in age, sex, and educational attainment, but those in expansion states were less likely to identify as non-Hispanic Black. Medicaid expansion was associated with a 2.16% increase in annual incomes (95% CI, 0.66%-3.65%; P = .005). This effect was driven by significant increases in annual incomes among the top 2 highest-earning quintiles (ß coefficient, 2.91%-3.72%), which includes registered nurses, physicians, and executives. Health care workers in lower-earning quintiles did not experience any significant changes. Medicaid expansion was associated with a 3.15 percentage point increase in the likelihood that a health care worker received Medicaid benefits (95% CI, 2.46 to 3.84; P < .001), with the largest increases among the 2 lowest-earning quintiles, which includes health aides, orderlies, and sanitation workers. There were significant decreases in employer-sponsored health insurance and increases in SNAP following Medicaid expansion. Conclusion and Relevance: Medicaid expansion was associated with increases in compensation for health care workers, but only among the highest earners. These findings suggest that improvements in health care sector finances may increase economic inequality among health care workers, with implications for worker health and well-being.

Assessing an innovative method to promote learning from patient narratives: Findings from a field experiment in ambulatory care.

OBJECTIVE: To assess whether an online interactive report designed to facilitate interpretation of patients' narrative feedback produces change in ambulatory staff learning, behavior at the individual staff and practice level, and patient experience survey scores. DATA SOURCES AND SETTING: We studied 22 ambulatory practice sites within an academic medical center using three primary data sources: 333 staff surveys; 20 in-depth interviews with practice leaders and staff; and 9551 modified CG-CAHPS patient experience surveys augmented by open-ended narrative elicitation questions. STUDY DESIGN: We conducted a cluster quasi-experimental study, comparing 12 intervention and 10 control sites. At control sites, narratives were delivered free-form to site administrators via email; at intervention sites, narratives were delivered online with interactive tools for interpretation, accompanied by user training. We assessed control-versus-intervention site differences in learning, behavior, and patient experience scores. DATA COLLECTION: Staff surveys and interviews were completed at intervention and control sites, 9 months after intervention launch. Patient surveys were collected beginning 4 months pre-launch through 9 months post-launch. We used control-versus-intervention and difference-in-difference analyses for survey data and thematic analysis for interview data. PRINCIPAL FINDINGS: Interviews suggested that the interface facilitated narrative interpretation and use for improvement. Staff survey analyses indicated enhanced learning from narratives at intervention sites (29% over control sites' mean of 3.19 out of 5 across eight domains, p < 0.001) and greater behavior change at staff and practice levels (31% and 21% over control sites' means of 3.35 and 3.39, p < 0.001, respectively). Patient experience scores for interactions with office staff and wait time information increased significantly at intervention sites, compared to control sites (3.7% and 8.2%, respectively); however, provider listening scores declined 3.3%. CONCLUSIONS: Patient narratives presented through structured feedback reporting methods can catalyze positive changes in staff learning, promote behavior change, and increase patient experience scores in domains of non-clinical interaction.

Learning from patients: The impact of using patients' narratives on patient experience scores.

BACKGROUND: Enthusiasm has grown about using patients' narratives-stories about care experiences in patients' own words-to advance organizations' learning about the care that they deliver and how to improve it, but studies confirming association have not been published. PURPOSE: We assessed whether primary care clinics that frequently share patients' narratives with their staff have higher patient experience survey scores. APPROACH: We conducted a 1-year study of 5,545 adult patients and 276 staff affiliated with nine clinics in one health system. We used multilevel models to analyze survey data from patients about their experiences and from staff about exposure to useful narratives. We examined staff confidence in own knowledge as a moderator because confidence can influence use of new information sources. RESULTS: Frequency of sharing useful narratives with staff was associated with patient experience scores for all measures, conditional on staff confidence in own knowledge ( p < .01). For operational measures (e.g., care coordination), increased sharing correlated with subsequently higher performance for more confident staff and lower performance or no difference for less confident staff, depending on measure. For relational measures (e.g., patient-provider communication), increased sharing correlated with higher scores for less confident staff and lower scores for more confident staff. CONCLUSION: Sharing narratives with staff frequently is associated with better patient experience survey scores, conditional on confidence in knowledge. PRACTICE IMPLICATIONS: Frequently sharing useful patient narratives should be encouraged as an organizational improvement strategy. However, organizations need to address how narrative feedback interacts with their staff's confidence to realize higher experience scores across domains.

Changes in Unemployment Among Health Care Workers Following the COVID-19 Pandemic.

This study examines changes in unemployment among US health care workers from January 2015 to April 2022, before and after the onset of the COVID-19 pandemic.

The Role of Public Health Expenditures in COVID-19 control: Evidence from Local Governments in England.

For over 150 years the local health departments of England have been critical in controlling 19th and 20th century infectious epidemics. However, recent administrative changes have hollowed out their flexibility to serve communities. We use administrative data on past budgetary allocations per capita to public health departments at upper tier local areas (UTLAs) of England to examine whether public health funding levels were correlated with more rapid control of the first wave of the COVID-19 pandemic between March and July of 2020. The dependent variable was the number of days between a UTLA's 10th case of COVID-19 and the day when new cases per 100,000 peaked and began to decline. Our models controlled for regional socio-economic factors. We found no correlation between local public health expenditure and the speed of control of COVID-19. However, overall public expenditure allocated to improve local areas helped reduce time to reach peak. Contrary to expectation, more dense areas such as London experienced shorter duration. Higher income areas had more rapid success in accelerating the time of the first peak in the first wave of their local COVID-19 incidence. We contribute to understanding the impact of how public expenditure and socio-economic factors affect an epidemic.

Identifying Cohabiting Couples in Administrative Data: Evidence from Medicare Address Data.

Marital status is recognized as an important social determinant of health, income, and social support, but is rarely available in administrative data. We assessed the feasibility of using exact address data and zip code history to identify cohabiting couples using the 2018 Medicare Vital Status file and ZIP codes in the 2011-2014 Master Beneficiary Summary Files. Medicare beneficiaries meeting our algorithm displayed characteristics consistent with assortative mating and resembled known married couples in the Health and Retirement Study linked to Medicare claims. Address information represents a promising strategy for identifying cohabiting couples in administrative data including healthcare claims and other data types.