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Show Results For
- All HBS Web
(922)
- People (2)
- News (122)
- Research (725)
- Events (14)
- Multimedia (1)
- Faculty Publications (395)
- January 2018
- Article
The Effect of Cost Sharing on an Employee Weight Loss Program: A Randomized Trial
By: Leslie K. John, Andrea Troxel, William Yancy, Joelle Y. Friedman, Jingsan Zhu, Lin Yang, Robert Galvin, Karen Miller-Kovach, Scott Halpern, George Loewenstein and Kevin Volpp
Purpose: We tested the effects of employer subsidies on employee enrollment, attendance, and weight loss in a nationally-available weight management program.
Design: A randomized trial tested the impact of employer subsidy: 100%; 80% 50% and a hybrid 50% subsidy... View Details
Design: A randomized trial tested the impact of employer subsidy: 100%; 80% 50% and a hybrid 50% subsidy... View Details
Keywords: Affordable Care Act (ACA); Subsidies; Weight Loss; Obesity; Incentives; Behavioral Economics; Motivation and Incentives; Behavior; Health Disorders; Health Care and Treatment; Compensation and Benefits; United States
John, Leslie K., Andrea Troxel, William Yancy, Joelle Y. Friedman, Jingsan Zhu, Lin Yang, Robert Galvin, Karen Miller-Kovach, Scott Halpern, George Loewenstein, and Kevin Volpp. "The Effect of Cost Sharing on an Employee Weight Loss Program: A Randomized Trial." American Journal of Health Promotion 32, no. 1 (January 2018): 170–176.
- 2016
- Chapter
Evaluating the Effects of Large Scale Health Interventions in Developing Countries: The Zambian Malaria Initiative
By: Nava Ashraf, Gunther Fink and David N. Weil
Since 2003, Zambia has been engaged in a large-scale, centrally coordinated national anti-Malaria campaign, which has become a model in sub-Saharan Africa. This paper aims at quantifying the individual and macro-level benefits of this campaign, which involved mass... View Details
Ashraf, Nava, Gunther Fink, and David N. Weil. "Evaluating the Effects of Large Scale Health Interventions in Developing Countries: The Zambian Malaria Initiative." Chap. 1 in African Successes, Volume 2: Human Capital, edited by Sebastian Edwards, Simon Johnson, and David N. Weil. University of Chicago Press, 2016.
- August 2017
- Article
Effective Leadership of Surgical Teams: A Mixed Methods Study of Surgeon Behaviors and Functions
By: J. Stone, E. Aveling, M. Frean, M. Shields, C. Wright, F. Gino, T. Sundt and S.J. Singer
The importance of effective team leadership for achieving surgical excellence is widely accepted, but we understand less about the behaviors that achieve this goal. We studied cardiac surgical teams to identify leadership behaviors that best support surgical teamwork.... View Details
Stone, J., E. Aveling, M. Frean, M. Shields, C. Wright, F. Gino, T. Sundt, and S.J. Singer. "Effective Leadership of Surgical Teams: A Mixed Methods Study of Surgeon Behaviors and Functions." Annals of Thoracic Surgery 104, no. 2 (August 2017): 530–537.
- July–September 2020
- Article
Innovation Contest: Effect of Perceived Support for Learning on Participation
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Background: Frontline staff are well positioned to conceive improvement opportunities based on first-hand knowledge of what works and does not work. The innovation contest may be a relevant and useful vehicle to elicit staff ideas. However, the success of the... View Details
Keywords: Contest; Innovation; Employee Engagement; Organizational Learning; Health Care; Health Care Delivery; Innovation and Invention; Organizations; Learning; Employees; Perception; Health Care and Treatment
Jung, Olivia, Andrea Blasco, and Karim R. Lakhani. "Innovation Contest: Effect of Perceived Support for Learning on Participation." Health Care Management Review 45, no. 3 (July–September 2020): 255–266.
- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details
Keywords: Panel Data; Dynamic Causal Effects; Potential Outcomes; Finite Population; Nonparametric; Mathematical Methods
Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics 12, no. 4 (November 2021): 1171–1196.
- 2012
- Working Paper
Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services
By: Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
The ongoing fragmentation of work has resulted in a narrowing of tasks into smaller pieces that can be sent outside the organization and, in many instances, around the world. This trend is shifting the boundaries of organizations and leading to increased outsourcing.... View Details
Keywords: Experience and Expertise; Learning; Health Care and Treatment; Job Cuts and Outsourcing; Knowledge Acquisition; Volume; Performance Productivity; Health Industry
Clark, Jonathan R., Robert S. Huckman, and Bradley R. Staats. "Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services." Harvard Business School Working Paper, No. 11-057, December 2010. (Revised September 2011, January 2013. NBER Working Paper Series, No. w18723, January 2013)
- 2021
- Working Paper
The Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes
By: Arlen Guarin, Christian Posso, Estefania Saravia and Jorge Tamayo
Identifying the effect of physicians’ skills on health outcomes is a challenging task due to the nonrandom sorting between physicians and hospitals. We overcome this challenge by exploiting a Colombian government program that randomly assigned 2,126 physicians to 618... View Details
Keywords: Physicians' Health Skills; Health Birth Outcomes; Birthing Outcomes; Experimental Evidence; Health Care and Treatment; Competency and Skills; Outcome or Result; Health Industry; Colombia
Guarin, Arlen, Christian Posso, Estefania Saravia, and Jorge Tamayo. "The Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes." Harvard Business School Working Paper, No. 22-015, February 2021. (R&R American Economic Journal.)
- November 2023
- Article
Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients with Hypertension
By: Mitchell Tang, Carter Nakamoto, Ariel Dora Stern, Jose Zubizarreta, Felippe Marcondes, Lori Uscher-Pines, Lee Schwamm and Ateev Mehrotra
Background: Remote patient monitoring (RPM) is a promising tool for improving chronic disease management. Use of RPM for hypertension monitoring is growing rapidly, raising concerns about increased spending. However, the effects of RPM are still... View Details
Tang, Mitchell, Carter Nakamoto, Ariel Dora Stern, Jose Zubizarreta, Felippe Marcondes, Lori Uscher-Pines, Lee Schwamm, and Ateev Mehrotra. "Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients with Hypertension." Annals of Internal Medicine 176, no. 11 (November 2023): 1465–1475.
- 14 Aug 2007
- Working Paper Summaries
Improving Patient Outcomes: The Effects of Staff Participation and Collaboration in Healthcare Delivery
- September–October 2013
- Article
Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services
By: Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
The ongoing fragmentation of work has resulted in a narrowing of tasks into smaller pieces that can be sent outside the organization and, in many instances, around the world. This trend is shifting the boundaries of organizations and leading to increased outsourcing.... View Details
Keywords: Job Cuts and Outsourcing; Medical Specialties; Health Care and Treatment; Customer Focus and Relationships; Learning; Customer Satisfaction; Health Industry
Clark, Jonathan R., Robert S. Huckman, and Bradley R. Staats. "Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services." Organization Science 24, no. 5 (September–October 2013): 1539–1557.
- May 2021
- Article
Making Doctors Effective Managers and Leaders: A Matter of Health and Well-Being
By: Lisa Rotenstein, Robert S. Huckman and Christine K. Cassel
The COVID-19 crisis has forced physicians to make daily decisions that require knowledge and skills they did not acquire as part of their biomedical training. Physicians are being called upon to be both managers—able to set processes and structures—and leaders—capable... View Details
Rotenstein, Lisa, Robert S. Huckman, and Christine K. Cassel. "Making Doctors Effective Managers and Leaders: A Matter of Health and Well-Being." Academic Medicine 96, no. 5 (May 2021).
- 2002
- Other Unpublished Work
The Effect of Organizational Context on Individual Performance: Evidence from Cardiac Surgery
By: Robert S. Huckman and Gary P. Pisano
- November 2019
- Article
How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details
Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
- April 29, 2024
- Editorial
Stemming the Ripple Effect of Untreated Mental Illness: A Prescription for Change: Reimagining U.S. Healthcare
By: Lidia Moura and Susanna Gallani
Moura, Lidia, and Susanna Gallani. "Stemming the Ripple Effect of Untreated Mental Illness: A Prescription for Change: Reimagining U.S. Healthcare." Psychology Today (website) (April 29, 2024).
- 2023
- Working Paper
'De Gustibus' and Disputes about Reference Dependence
By: Thomas Graeber, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg and Charles Sprenger
Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines the implications of heterogeneity in gain-loss attitudes for such tests. In experiments on labor supply and exchange behavior we measure gain-loss attitudes and then... View Details
Graeber, Thomas, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg, and Charles Sprenger. "'De Gustibus' and Disputes about Reference Dependence." Harvard Business School Working Paper, No. 24-046, January 2024.
- May–June 2018
- Article
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations
By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore
Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details
Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry
Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations Research 66, no. 3 (May–June 2018): 697–715. (Winner, 2014 INFORMS Health Applications Society Pierskalla Award & Finalist, 2014 INFORMS George E. Nicholson student paper competition.)
- July 2002
- Article
The Effect of Decreasing Length of Stay on Discharge Destination and Readmission after Coronary Bypass Operation
By: Richard M.J. Bohmer, John Newell and David F. Torchiana
Bohmer, Richard M.J., John Newell, and David F. Torchiana. "The Effect of Decreasing Length of Stay on Discharge Destination and Readmission after Coronary Bypass Operation." Surgery 132, no. 1 (July 2002): 10–16.
- 2014
- Working Paper
Team Scaffolds: How Meso-Level Structures Support Role-based Coordination in Temporary Groups
By: Melissa A. Valentine and Amy C. Edmondson
This paper shows how meso-level structures support effective coordination in temporary groups. Prior research on coordination in temporary groups describes how roles encode individual responsibilities so that coordination between relative strangers is possible. We... View Details
Keywords: Fluid Personnel; Team Scaffolds; Team Effectiveness; Role-based Coordination; Multi-method; Health Care and Treatment; Analytics and Data Science; Knowledge Use and Leverage; Organizational Structure; Outcome or Result; Performance Effectiveness; Groups and Teams; Networks; Behavior; Balance and Stability; Health Industry
Valentine, Melissa A., and Amy C. Edmondson. "Team Scaffolds: How Meso-Level Structures Support Role-based Coordination in Temporary Groups." Harvard Business School Working Paper, No. 12-062, January 2012. (Revised June 2014.)
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.