Evidence map›Paper›PMID 30926600›Full record

ArticleCMAJ open

Impact of a household-level deductible on prescription drug use among lower-income adults: a quasi-experimental study.

Michael R Law, Lucy Cheng, Heather Worthington, Sumit R Majumdar, Kimberlyn M McGrail, Fiona Chan, Tracey-Lea Laba, Muhammad Mamdani

Abstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Michael R LawCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont. michael.law@ubc.ca.
Lucy ChengCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont.
Heather WorthingtonCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont.
Sumit R MajumdarCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont.
Kimberlyn M McGrailCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont.
Fiona ChanCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont.
Tracey-Lea LabaCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont.
Muhammad MamdaniCentre for Health Services and Policy Research (Law, Cheng, Worthington, McGrail, Chan, Laba), School of Population and Public Health, University of British Columbia, Vancouver, BC; Department of Medicine (Majumdar), University of Alberta, Edmonton, Alta.; Menzies Centre for Health Policy (Laba), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Clinical Epidemiology and Evaluation (Laba), University of British Columbia, Vancouver, BC; Li Ka Shing Centre for Healthcare Analytics Research and Training (Mamdani), St. Michael's Hospital, Toronto, Ont.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral Canadian public drug plans have income-based deductibles, but we have limited data on their impact, particularly for vulnerable populations. Therefore, we studied the impact of deductibles in British Columbia's Fair PharmaCare program on drug use among lower-income adults.

methodsWe used a quasi-experimental regression discontinuity design to study the impact of BC rules that impose no deductible before receiving public coverage on households with incomes less than $15 000, a deductible of 2% of household income on those with incomes between $15 000 and $30 000, and a deductible of 3% of household income on those with incomes above $30 000. We studied the impact of these thresholds on public and total drug expenditures between 2003 and 2015 using 24 million person-years of data.

resultsBoth thresholds decreased the proportion of beneficiaries receiving benefits, by 0.33 (95% confidence interval [CI] -0.34 to -0.30) and 0.05 (95% CI -0.064 to -0.032) respectively. There were also substantial reductions in the extent of public drug plan expenditures ($59.94 [95% CI -74.74 to -45.14] and $26.12 [95% CI -39.78 to -12.46], respectively). The change at the $15 000 threshold reduced patient drug expenditures by $26.00 (95% CI -45.48 to -6.51), or 7.2%. In contrast, we found no statistically significant change in total expenditures when households moved from a deductible of 2% to 3% at the $30 000 threshold.

interpretationIncome-based deductibles considerably affected the extent of public subsidy for prescription drugs. For lower-income households making around $15 000, the deductible led to a reduction of 7.2% in overall drug use and costs. Although deductibles are a useful tool to limit public expenditures, policy-makers should be cautious in their use among vulnerable populations.

Identifiers

PMID30926600
PMCPMC6440883

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.