Literature DB >> 25899087

A selective review of the first 20 years of instrumental variables models in health-services research and medicine.

John Cawley1.   

Abstract

BACKGROUND: The method of instrumental variables (IV) is useful for estimating causal effects. Intuitively, it exploits exogenous variation in the treatment, sometimes called natural experiments or instruments. This study reviews the literature in health-services research and medical research that applies the method of instrumental variables, documents trends in its use, and offers examples of various types of instruments.
METHODS: A literature search of the PubMed and EconLit research databases for English-language journal articles published after 1990 yielded a total of 522 original research articles. Citations counts for each article were derived from the Web of Science. A selective review was conducted, with articles prioritized based on number of citations, validity and power of the instrument, and type of instrument.
RESULTS: The average annual number of papers in health services research and medical research that apply the method of instrumental variables rose from 1.2 in 1991-1995 to 41.8 in 2006-2010. Commonly-used instruments (natural experiments) in health and medicine are relative distance to a medical care provider offering the treatment and the medical care provider's historic tendency to administer the treatment. Less common but still noteworthy instruments include randomization of treatment for reasons other than research, randomized encouragement to undertake the treatment, day of week of admission as an instrument for waiting time for surgery, and genes as an instrument for whether the respondent has a heritable condition.
CONCLUSION: The use of the method of IV has increased dramatically in the past 20 years, and a wide range of instruments have been used. Applications of the method of IV have in several cases upended conventional wisdom that was based on correlations and led to important insights about health and healthcare. Future research should pursue new applications of existing instruments and search for new instruments that are powerful and valid.

Keywords:  Econometrics; Health; Instrumental variables; Methods

Mesh:

Year:  2015        PMID: 25899087     DOI: 10.3111/13696998.2015.1043917

Source DB:  PubMed          Journal:  J Med Econ        ISSN: 1369-6998            Impact factor:   2.448


  5 in total

1.  Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report.

Authors:  Patricia Walicke; Aviva Abosch; Anthony Asher; Fred G Barker; Zoher Ghogawala; Robert Harbaugh; Lara Jehi; John Kestle; Walter Koroshetz; Roderick Little; Donald Rubin; Alex Valadka; Stephen Wisniewski; E Antonio Chiocca
Journal:  Neurosurgery       Date:  2017-04-01       Impact factor: 4.654

2.  Daring to draw causal claims from non-randomized studies of primary care interventions.

Authors:  Nadia Sourial; Cristina Longo; Isabelle Vedel; Tibor Schuster
Journal:  Fam Pract       Date:  2018-09-18       Impact factor: 2.267

3.  Understanding the effect of loneliness on unemployment: propensity score matching.

Authors:  N Morrish; R Mujica-Mota; A Medina-Lara
Journal:  BMC Public Health       Date:  2022-04-28       Impact factor: 4.135

4.  Estimating Marginal Healthcare Costs Using Genetic Variants as Instrumental Variables: Mendelian Randomization in Economic Evaluation.

Authors:  Padraig Dixon; George Davey Smith; Stephanie von Hinke; Neil M Davies; William Hollingworth
Journal:  Pharmacoeconomics       Date:  2016-11       Impact factor: 4.981

5.  Mendelian randomization analysis of the causal impact of body mass index and waist-hip ratio on rates of hospital admission.

Authors:  Audinga-Dea Hazewinkel; Rebecca C Richmond; Kaitlin H Wade; Padraig Dixon
Journal:  Econ Hum Biol       Date:  2021-11-26       Impact factor: 2.184

  5 in total

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