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This article was first published by the social and political economy portal IndiaSpend.


Women from poor households made about 235,000 fewer hospital visits compared to men for seven gender-neutral disease categories between January 2017 and October 2019, a new study analyzing a Rajasthan state health insurance scheme has estimated. The Bhamashah Swasthya Bima Yojana aims to provide health insurance to about 46 million persons living below the poverty line, as a step towards universal and equitable access to healthcare in the state, per the study.

Pascaline Dupas and Radhika Jain of Stanford University studied data of insurance claims from 4.2 million hospital visits under the Bhamashah scheme from its launch in December 2015 till October 2019, and the study was published as a National Bureau of Economic Research working paper. The study was conducted in partnership with the Rajasthan state government.

Women made up 45% of hospital visits under the Bhamashah scheme between January 2017 and October 2019, though their share in the population is 48%, per the study. The gender gap is starker for girls and older women. The share of girls in children aged under 10 years who visited the hospital under this insurance program was 33%, though their share of this age group's population is 47%; among those aged above 50 years, women are 51%, yet their share of hospital visits under this insurance program was 43%.

"We were struck by this discrepancy in the data. We were not expecting such a large [gender] difference," Dupas, an economist and professor at Stanford University, told IndiaSpend. In most other developed countries for which such data have been analyzed, subsidized healthcare usually caters to those who otherwise don't have access to it, added Jain, a postdoctoral fellow in Asia Health Policy at Stanford University, US.

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A new study of the Rajasthan government's Bhamashah health insurance program for poor households has found that just providing health insurance cover doesn't reduce gender inequality in access to even subsidized health care.

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This opinion piece was first published in the economics and policy portal Ideas for India.


Equity in healthcare is a key goal of health policy in India. Analyzing administrative data from Rajasthan, this article highlights substantial gender gaps in the utilization of subsidized hospital care under the state health insurance program. These disparities persist despite substantial program expansion and seem to be driven by households being less willing to allocate resources to female vis-à-vis male health.

Over the past 15 years, India’s central government and numerous state governments have put in place health insurance programmes that entitle low-income households to free healthcare at public and empanelled private hospitals. Health equity and universal health coverage are explicit goals of these programs. In new research, we study gender equity in the Bhamashah Swasthya Bima Yojana (BSBY)1 health insurance program, which was launched in the state of Rajasthan in 2015, and is similar in design to the national Pradhan Mantri Jan Arogya Yojana (PMJAY).

Our starting point is a dataset of insurance claims filed for all 4.2 million hospital visits between 2015 and 2019, including patient age, gender, residence address, hospital visited, dates of admission and discharge, and service(s) received. We geo-coded hospital locations and patient addresses, which allowed us to calculate proximity to hospitals and the distance traveled for every hospital visit. Finally, we linked the insurance data to the 2011 Census and data on three rounds of village-level (gram panchayat) elections. To our knowledge, the dataset we compiled from these various sources is the first dataset of its type in India and allows us to study care-seeking under insurance with unusual granularity.

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Robot Adoption Brings Benefits to Japan’s Aging Society

In one of the first studies of service sector robotics, APARC scholars examine the impacts of robots on nursing homes in Japan. They find that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.
Robot Adoption Brings Benefits to Japan’s Aging Society
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Stanford University researchers' study of Bhamashah Swasthya Bima Yojana reveals that just expanding geographical access and reducing the cost of healthcare won't reduce gender disparity.

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Does the new wave of digital technologies portend a future in which robots and automation increasingly replace workers and destroy livelihoods? In one of the first studies of service sector robots, APARC experts find evidence to offset dystopian predictions of robot job replacement.

The researchers — Asia Health Policy Program Director Karen Eggleston, SK Center Fellow Yong Suk Lee, and University of Tokyo health economist Toshiaki Iizuka, our former visiting scholar — set out to examine how robots affect labor, productivity, and quality of care in Japan’s nursing homes. Their findings indicate that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.

Eggleston recently joined the Future Health podcast, an initiative of the New South Wales Ministry of Health, to discuss the study and its implications. The program is available both as a video and audio podcast. Watch and listen below:

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Published by the National Bureau of Economic Research, the study suggests that robot adoption has increased employment opportunities for non-regular care workers, helped mitigate the turnover problem that plagues nursing homes, and provided greater flexibility for workers. It is also published in AHPP's working paper series and is part of a broader research project by Eggleston, Lee, and Iizuka, that explores the impact of robots on nursing home care in Japan and the implications of robotic technologies adoption in aging societies.

The study has attracted media attention. The Financial Times Magazine, in a feature story and podcast, called it “groundbreaking in several ways but perhaps most clearly for setting its sights not on manufacturing but on the services sector, where robots are only just beginning to make their mark.” The Freakonomics Radio podcast also hosted Eggleston and Lee for a conversation about their research as part of an episode on collaborative robots and the future of work.

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The Unfolding Relationship Between Human Workers and Robots in an Aging World

On the Freakonomics Radio podcast, Karen Eggleston and Yong Suk Lee discuss their research into the effects of robots on staffing in Japanese nursing homes.
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Robot Adoption Brings Benefits to Japan’s Aging Society

In one of the first studies of service sector robotics, APARC scholars examine the impacts of robots on nursing homes in Japan. They find that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.
Robot Adoption Brings Benefits to Japan’s Aging Society
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On the Future Health podcast, Karen Eggleston discusses the findings and implications of her collaborative research into the effects of robot adoption on staffing in Japanese nursing homes.

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CDDRL Postdoctoral Scholar, 2021-22
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I am a political scientist (PhD degree expected in July 2021 from Harvard) working on political parties, social welfare policies and local governance, primarily in the Middle East and North Africa. My dissertation project focuses on secular parties in the region and explores why they could not form a robust electoral alternative to the Islamist parties in the post-uprisings period. In other projects, I explore voters' responses to executive aggrandizement (focusing on Turkey), and social welfare in the context of ethnic and organizational diversity (focusing on Lebanon). Prior to PhD, I worked as an education policy analyst in Turkey, managing several research projects in collaboration with the Ministry of Education, World Bank and UNICEF. I hold a BA degree in Political Science from Boğaziçi, and Master's degrees from the LSE and Brown. 

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Now that a third COVID-19 vaccine has been given emergency-use authorization, Michelle Mello and colleagues ask whether individuals should be able to choose which vaccine they receive.
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Michelle Mello
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Pascal Geldsetzer, PhD 
Assistant Professor of Medicine in the Division of Primary Care and Population Health

Title:  Regression Discontinuity in Electronic Health Record Data

Abstract: Regression discontinuity in electronic health record (EHR) data combines the main advantage of randomized controlled trials (causal inference without needing to adjust for confounders) with the large size, low cost, and representativeness of observational studies in routinely collected medical data. Regression discontinuity could be an important tool to help clinical medicine move away from a “one size fits all” approach because, along with the increasing size and availability of EHR data, it would allow for a rigorous examination of how treatment effects vary across highly granular patient subgroups. In addition, given the broad range of health outcomes recorded in EHR data, this design could be used to systematically test for a wide range of unexpected beneficial and adverse health effects of different treatments. I will talk about the broad motivation for this research and discuss examples from some of our ongoing work in this area. If there is time, I will also discuss some of my ongoing research on improving healthcare services for chronic conditions in low- and middle-income country settings. 

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Register in advance for this meeting:
https://stanford.zoom.us/meeting/register/tJYpcO2ppzooGNdbf8o1OxXNUWd3rukNEb7i 

After registering, you will receive a confirmation email containing information about joining the meeting.

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Alyce S. Adams, PhD 
Professor of Medicine, Stanford's Center for Health Policy & Center for Primary Care and Outcomes Research
Professor of Epidemiology and Population Health in the Stanford School of Medicine 
Associate Director for Health Equity and Community Engagement in the Stanford Cancer Institute 

Title: Health Policy and the Fight for Equitable Healthcare Outcomes: Why Access Isn’t Enough

Abstract: Using evidence from evaluations of natural experiments, Alyce Adams will discuss the intended and unintended consequences of changes in prescription drug policy at the state and federal level of low income and minority individuals with multiple chronic conditions. We will explore the potential for policy effects to have an immediate and dramatic increase in access to clinically essential treatments. However, she will also discuss where such policies can widen, rather than reduce disparities in treatment. We concluded that increasing access (while critical) is not sufficient to address inequities in treatment use and outcomes among high risk populations. Importantly, new strategies are needed to inform the design of policy interventions that promote access, while simultaneously advancing health equity.

Register in advance for this meeting:
https://stanford.zoom.us/meeting/register/tJcsf-6pqDwtH93u_yfFbEkV_XIbJ2gai0FV  

After registering, you will receive a confirmation email containing information about joining the meeting.

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Stanford Medicine Innovation Professor
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Alyce Adams is a Professor of Health Policy and of Epidemiology and Population Health in the Stanford School of Medicine; Associate Chair, Partnership and Community Engagement for the Department of Health Policy; and Associate Director for Health Equity and Community Engagement in the Stanford Cancer Institute. Focusing on racial and socioeconomic disparities in chronic disease treatment outcomes, Dr. Adams' interdisciplinary research seeks to evaluate the impact of changes in drug coverage policy on access to essential medications, understand the drivers of disparities in treatment adherence among insured populations, and test strategies for maximizing the benefits of treatment outcomes while minimizing harms through informed decision-making. Prior to joining Stanford School of Medicine, Dr. Adams was Associate Director for Health Care Delivery and Policy and a Research Scientist at the Kaiser Permanente Division of Research, as well as a Professor at the Bernard J. Tyson Kaiser Permanente School of Medicine. From 2000 to 2008, she was an Assistant Professor in the Department of Population Medicine (formerly Ambulatory Care and Prevention) at Harvard Medical School and Harvard Pilgrim Health care. She received her PhD in Health Policy and an MPP in Social Policy from Harvard University. She is Vice Chair of the Board of Directors for AcademyHealth and a former recipient of the John M. Eisenberg Excellence in Mentoring Award from Agency for Healthcare Research and Quality and an invited lecturer on racial disparities in health care in the 2014/2015 National Institute of Mental Health Director’s Innovation Speaker Series.

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Technological progress boosts productivity and has made societies wealthier, but the impact of new digital technologies could be different from anything seen before. Some experts predict a future with robots and other forms of automation increasingly replacing workers, contributing to stagnant income, and worsening inequality. Yet it is difficult to pinpoint the net impact of advanced technologies on labor. There is anecdotal evidence that robotics and automation reduce manufacturing employment and wages, but evidence from the service sector remains scant. Collaborative research by APARC experts is now starting to fill this gap.

The researchers — including Karen Eggleston, APARC deputy director and director of the Asia Health Policy Program (AHPP), Yong Suk Lee, the deputy director of the Korea Program, and University of Tokyo health economist Toshiaki Iizuka, a former AHPP visiting scholar — set out to probe the impact of robots on services provided in nursing homes in Japan. Their study, one of the first investigations of service sector robots, offers an offset to the dystopian predictions of robot job replacement.

Published by the National Bureau of Economic Research, the study suggests that robot adoption has increased employment opportunities for non-regular care workers, helped mitigate the turnover problem that plagues nursing homes, and provided greater flexibility for workers. It is also published in AHPP's working paper series and is part of a broader research project by Eggleston, Lee, and Iizuka, that explores the impact of robots on nursing home care in Japan and the implications of robotic technologies adoption in aging societies.

Since we are currently still in the early phase of robot diffusion in the service sector, researchers and policymakers need to continue to monitor and assess the extent to which robots complement or augment some types of labor while substituting for others.
Eggleston, Lee, and Iizuka

[Subscribe to APARC's newsletters for the latest analysis from our experts.]

Japan has been on the front lines of a demographic crisis, grappling with a declining overall population, increasing proportion of seniors, and aversion to large-scale immigration. It has also been an early adopter of robots to address the shortage of care workers relative to a growing demand for long-term care services. Japan’s experience is especially instructive as more countries face aging populations, helping shed light on how demographics interact with new automation technologies.

In a VoxEU.org article, Eggleston, Lee, and Iizuka describe their study, its findings, and its implications. Examining the relationship between robot adoption and nursing home staffing in Japan, they find that robot-adopting nursing homes had between 3% and 8% more staff than their non-adopting counterparts. The increases in staffing occurred entirely among the non-regular employees. Nursing homes with robots also appeared to have higher management quality and were better able to reduce the burden on care workers. The results suggest “that the wave of technologies that inspires fear in many countries could help remedy the social and economic challenges posed by population aging in others.”

The Financial Times Magazine has recently featured the study by Eggleston, Lee, and Iizuka, calling it “groundbreaking in several ways but perhaps most clearly for setting its sights not on manufacturing but on the services sector, where robots are only just beginning to make their mark.” The great value of the study, the article notes, is that it lays the foundation for an empirical debate “on a subject that will be deluged with human emotion as robots continue their march into the services sector.”

You can also listen to a Financial Times podcast that features the new study (the segment starts at 4:52).

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Ri-man, a Japanese robot prototype under development to help assist nurses to lift patients from their bed. As Japan's society ages and nursing shortage increases, there will be a need for a robot to do the heavy lifting, especially since nurses themselves are aging.
Karen Kasmauski via Getty Images
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In one of the first studies of service sector robotics, APARC scholars examine the impacts of robots on nursing homes in Japan. They find that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.

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Stanford Medicine Innovation Professor
alyce_profile_2022.jpg PhD, MPP

Alyce Adams is a Professor of Health Policy and of Epidemiology and Population Health in the Stanford School of Medicine; Associate Chair, Partnership and Community Engagement for the Department of Health Policy; and Associate Director for Health Equity and Community Engagement in the Stanford Cancer Institute. Focusing on racial and socioeconomic disparities in chronic disease treatment outcomes, Dr. Adams' interdisciplinary research seeks to evaluate the impact of changes in drug coverage policy on access to essential medications, understand the drivers of disparities in treatment adherence among insured populations, and test strategies for maximizing the benefits of treatment outcomes while minimizing harms through informed decision-making. Prior to joining Stanford School of Medicine, Dr. Adams was Associate Director for Health Care Delivery and Policy and a Research Scientist at the Kaiser Permanente Division of Research, as well as a Professor at the Bernard J. Tyson Kaiser Permanente School of Medicine. From 2000 to 2008, she was an Assistant Professor in the Department of Population Medicine (formerly Ambulatory Care and Prevention) at Harvard Medical School and Harvard Pilgrim Health care. She received her PhD in Health Policy and an MPP in Social Policy from Harvard University. She is Vice Chair of the Board of Directors for AcademyHealth and a former recipient of the John M. Eisenberg Excellence in Mentoring Award from Agency for Healthcare Research and Quality and an invited lecturer on racial disparities in health care in the 2014/2015 National Institute of Mental Health Director’s Innovation Speaker Series.

Professor, Epidemiology and Population Health
Professor, Health Policy
Professor, Pediatrics (by courtesy)
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