Exposing Pittsburgh Landlords To Asset-Framing Narratives: An Experiment To Increase Housing Voucher Participation.

Landlords are essential actors within the rental housing market, and there is much to be learned about their willingness to participate in rental assistance programs that improve access to stable housing. Because the success of these programs, such as the Mobility (Location-Based) Voucher program in Pittsburgh, Pennsylvania, can be derailed by landlord opposition, it is important to test strategies that increase landlords' participation. Using data from a unique survey of Pittsburgh landlords, we found that exposing landlords to an asset-framing narrative that highlighted the social, economic, and health benefits of receiving a mobility voucher increased landlords' reported willingness to rent to a mobility voucher recipient by 21 percentage points. Reported willingness was also higher among landlords who believed that housing affordability was connected to health. Our findings offer insight into how to increase landlords' participation in affordable housing programs that require their engagement to succeed.

Prescription drug spending by payer: Implications for managed care.

Background: Brand-name prescription drugs are an important driver of prescription drug spending, but different payers may bear these costs differentially necessitating different policy goals for each payer. But little is known about how the top 10 selling drugs in the U.S. impact spending across payers. Objective: To estimate the differential spending burden of top prescription drugs on Medicaid, Medicare, commercial coverage, and out-of-pocket (OOP) spending. Methods: The percentage of total prescription drug spending, total spending, total prescriptions, and average cost per prescription overall and for each of the following payers - Medicaid, Medicare, private insurance, and OOP - was calculated for each of the top 10 selling prescription drugs using 2017-2019 Medical Expenditure Panel Survey data. Results: These 10 prescription drugs accounted for average annual spending of $83.4 billion and 19.0% of all prescription drug spending. Medicare tended to contribute the highest fraction of spending. The average annual cost per prescription ranged from $500 for Advair to $7400 for Tecfidera. Significant variation in the average annual number of prescriptions filled was observed, ranging from 1.4 million for Tecfidera to 13.6 million for Lantus. Conclusions: The findings highlight the significant impact of the top 10 selling prescription drugs on U.S. prescription drug spending. The wide variation in per prescription cost as well as contribution to each payer's prescription drug burden emphasizes how policies targeting top-selling drugs may differentially impact payers as well as how payer-specific policies may differ substantially even for top selling drugs.

Inequality in geographical distribution of hospitals and hospital beds in densely populated metropolitan cities of Iran.

BACKGROUND: This study aims to assess geographical distribution of hospitals and extent of inequalities in hospital beds against socioeconomic status (SES) of residents of five metropolitan cities in Iran. METHODS: A cross-sectional analysis was conducted to measure geographical inequality in hospital and hospital bed distributions of 68 districts in five metropolitan cities during 2016 using geographic information system (GIS), and Gini and Concentration indices. Correlation analysis was performed to show the relationship between the SES and inequality in hospital beds densities. RESULTS: The study uncovered marked inequalities in hospitals and hospital beds distributions. The Gini indices for hospital beds were greater than 0.55. The aggregated concentration indices for public and private hospital beds were 0.33 and 0.49, respectively. The GIS revealed that 216 (70.6%) hospitals were located in two highest socioeconomic status classes in the cities. Only 29 (9.5%) hospitals were located in the lowest class. The public, private, and the cumulative hospitals beds distributions in Tehran and Esfahan showed significant (p < 0.05) positive correlation with SES of the residents. CONCLUSIONS: The high inequalities in hospital and hospital beds distributions in our study imply an overlooked but growing concern for geographical access to healthcare in rapidly urbanizing metropolitan cities in Iran. Thus, regardless of ownership, decision-makers should emphasize the disadvantaged areas in metropolitan cities when need arises for the establishment of new healthcare facilities in order to ensure fairness in healthcare. The metropolitan cities and rapid urbanization settings in other countries could learn lessons to reduce or prevent similar issues which might have hampered access to healthcare.

'Seeking affluent neighbourhoods?' a time-trend analysis of geographical distribution of hospitals in the Megacity of Tehran.

OBJECTIVE: Access to hospitals in megacities in low and middle income countries might be hampered by travel barriers and distance. We assessed the 'inverse care law' hypothesis: whether hospitals tended to be built in the relatively better-off areas through the time. METHODS: A longitudinal time-series study (1966 to 2011) in Tehran to measure inequality in the distribution of hospital beds. We assessed correlations between the district socioeconomic status and availability of hospital beds via regression analyses, estimated correlation, Gini and concentration indices, and used GIS models to map hospital distributions through time. FINDING: We found a clear relationship between socioeconomic status and number of hospital beds per capita ( P -values <0.05). Gini coefficients were about 0.6 and 0.8 for public and private beds, respectively. A third of the variations in hospital bed distribution was explained by the welfare status of the district. For every extra residential room per capita, 130 to 280 extra beds were observed per ten thousand population at the district level. In 2011, out of 162 hospitals, 110 were located in six districts around the centre and northern part of the city. During the time period only two private hospitals were built in relatively disadvantaged districts. CONCLUSION: Over a period of about fifty years new hospitals had been established in the relatively affluent areas of the city and the relationship between socioeconomic status of district with total, private and public beds were direct and intensive. Results indicate the problem of inequality may remain over time and be resistant to policy initiatives and major political changes.

Regional Disparity in Physical Resources in the Health Sector in Iran: A Comparison of Two Time Periods.

BACKGROUND: One of the major health policy issues, in the both developed and developing countries, is the equality in the distribution of health resources. The aim of this study was to investigate the disparity in the distribution of health physical resources across the provinces of Iran in 2001 and 2011. METHODS: This was a cross-sectional retrospective study which investigated inequality in the distribution of health physical resources by three indexes of Gini Coefficient, Gaswirth index and Index of Dissimilarity. The data on provinces were obtained from the yearbook statistics and Ministry of Health, and Medical Education. The Excel software was used to calculated indexes. RESULTS: The finding showed the mean Gini Coefficient for all variables was 0.178 in 2001 and 0.158 in 2011. Besides, the mean Gaswirth index and index of dissimilarity were 11.5 and 1.5% in 2001 and 11 and 1.4% in 2011, respectively. CONCLUSION: There was slightly inequality in distribution of physical health resources in Iran. According to the results of three indexes, this study showed when Tehran province excluding from total sample, the inequality was decreased.