Literature DB >> 19671571

The unhealthy state of health policy research.

Sumit R Majumdar1, Stephen B Soumerai.   

Abstract

Health policies often represent large-scale natural experiments with poorly understood risks and benefits. Unfortunately, researchers often stray from the core principles of study design required to provide valid evidence. The result is that policymakers and the public do not always know what to believe. We illustrate the problem in several fields, including pay-for-performance, cost sharing, and health information technology policies. We suggest a few ways to improve health policy research so that evidence can inform policy more often. The way forward should include more credible data for those making the hard trade-offs between cost and quality of care.

Mesh:

Year:  2009        PMID: 19671571     DOI: 10.1377/hlthaff.28.5.w900

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  15 in total

1.  New Jersey's efforts to improve postpartum depression care did not change treatment patterns for women on medicaid.

Authors:  Katy Backes Kozhimannil; Alyce S Adams; Stephen B Soumerai; Alisa B Busch; Haiden A Huskamp
Journal:  Health Aff (Millwood)       Date:  2011-02       Impact factor: 6.301

2.  Evaluating diabetes health policies using natural experiments: the natural experiments for translation in diabetes study.

Authors:  Ronald T Ackermann; O Kenrik Duru; Jeanine B Albu; Julie A Schmittdiel; Stephen B Soumerai; James F Wharam; Mohammed K Ali; Carol M Mangione; Edward W Gregg
Journal:  Am J Prev Med       Date:  2015-06       Impact factor: 5.043

Review 3.  The development of scientific evidence for health policies for obesity: why and how?

Authors:  M B Richardson; M S Williams; K R Fontaine; D B Allison
Journal:  Int J Obes (Lond)       Date:  2017-03-15       Impact factor: 5.095

4.  Did Medicare Part D Affect National Trends in Health Outcomes or Hospitalizations? A Time-Series Analysis.

Authors:  Becky A Briesacher; Jeanne M Madden; Fang Zhang; Hassan Fouayzi; Dennis Ross-Degnan; Jerry H Gurwitz; Stephen B Soumerai
Journal:  Ann Intern Med       Date:  2015-06-16       Impact factor: 25.391

5.  Packet randomized experiments for eliminating classes of confounders.

Authors:  Greg Pavela; Howard Wiener; Kevin R Fontaine; David A Fields; Jameson D Voss; David B Allison
Journal:  Eur J Clin Invest       Date:  2015-01       Impact factor: 4.686

Review 6.  A T-2 translational research perspective on interventions to improve post-fracture osteoporosis care.

Authors:  S R Majumdar
Journal:  Osteoporos Int       Date:  2011-08-17       Impact factor: 4.507

7.  Policymaking Under Uncertainty: Routine Screening for Intimate Partner Violence.

Authors:  Rada K Dagher; Mary A Garza; Katy Backes Kozhimannil
Journal:  Violence Against Women       Date:  2014-07-10

Review 8.  The State of Diabetes Prevention Policy in the USA Following the Affordable Care Act.

Authors:  Juleigh Nowinski Konchak; Margaret R Moran; Matthew J O'Brien; Namratha R Kandula; Ronald T Ackermann
Journal:  Curr Diab Rep       Date:  2016-06       Impact factor: 4.810

Review 9.  Introductory Overview of the Natural Experiments for Translation in Diabetes 2.0 (NEXT-D2) Network: Examining the Impact of US Health Policies and Practices to Prevent Diabetes and Its Complications.

Authors:  O Kenrik Duru; Carol M Mangione; Hector P Rodriguez; Dennis Ross-Degnan; J Frank Wharam; Bernard Black; Abel Kho; Nathalie Huguet; Heather Angier; Victoria Mayer; David Siscovick; Jennifer L Kraschnewski; Lizheng Shi; Elizabeth Nauman; Edward W Gregg; Mohammed K Ali; Pamela Thornton; Steven Clauser
Journal:  Curr Diab Rep       Date:  2018-02-05       Impact factor: 4.810

10.  The importance of natural experiments in diabetes prevention and control and the need for better health policy research.

Authors:  Edward W Gregg; Mohammed K Ali; Bernice A Moore; Meda Pavkov; Heather M Devlin; Sanford Garfield; Carol M Mangione
Journal:  Prev Chronic Dis       Date:  2013       Impact factor: 2.830

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