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Assessing decision fatigue in general practitioners’ prescribing decisions using the Australian BEACH dataset

Assessing decision fatigue in general practitioners’ prescribing decisions using the Australian BEACH dataset
Assessing decision fatigue in general practitioners’ prescribing decisions using the Australian BEACH dataset
Background: General practitioners (GPs) make numerous care decisions throughout their workdays. Extended periods of decision making can result in decision fatigue, a gradual shift toward decisions that are less cognitively effortful. This study examines whether observed patterns in GPs’ prescribing decisions are consistent with the decision fatigue phenomenon. We hypothesized that the likelihood of prescribing frequently overprescribed medications (antibiotics, benzodiazepines, opioids; less effortful to prescribe) will increase and the likelihood of prescribing frequently underprescribed medications (statins, osteoporosis medications; more effortful to prescribe) will decrease over the workday.

Methods: this study used nationally representative primary care data on GP-patient encounters from the Bettering the Evaluation and Care of Health program from Australia. The association between prescribing decisions and order of patient encounters over a GP’s workday was assessed with generalized linear mixed models accounting for clustering and adjusting for patient, provider, and encounter characteristics.

Results: among 262,456 encounters recorded by 2,909 GPs, the odds of prescribing antibiotics significantly increased by 8.7% with 15 additional patient encounters (odds ratio [OR] = 1.087; confidence interval [CI] = 1.059–1.116). The odds of prescribing decreased significantly with 15 additional patient encounters by 6.3% for benzodiazepines (OR = 0.937; CI = 0.893–0.983), 21.9% for statins (OR = 0.791; CI = 0.753–0.831), and 25.0% for osteoporosis medications (OR = 0.750; CI = 0.690–0.814). No significant effects were observed for opioids. All findings were replicated in confirmatory analyses except the effect of benzodiazepines.

Conclusions: GPs were increasingly likely to prescribe antibiotics and were less likely to prescribe statins and osteoporosis medications as the workday wore on, which was consistent with decision fatigue. There was no convincing evidence of decision fatigue effects in the prescribing of opioids or benzodiazepines. These findings establish decision fatigue as a promising target for optimizing prescribing behavior.
0272-989X
627-640
Maier, Mona
a91aa448-1591-4019-87ea-208c5f965a4d
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
Harrison, Christopher
e402fa27-0d15-45ac-924a-e4160bd0d91f
Gordon, Julie
e25804e7-2c26-4840-bb3f-e6a4afafe76c
Murchie, Peter
384bebcf-8de7-4136-9946-27bc34fb8c73
Allan, Julia L.
0a1de00d-dfa3-4239-84e9-2e14c1c6aa29
Maier, Mona
a91aa448-1591-4019-87ea-208c5f965a4d
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
Harrison, Christopher
e402fa27-0d15-45ac-924a-e4160bd0d91f
Gordon, Julie
e25804e7-2c26-4840-bb3f-e6a4afafe76c
Murchie, Peter
384bebcf-8de7-4136-9946-27bc34fb8c73
Allan, Julia L.
0a1de00d-dfa3-4239-84e9-2e14c1c6aa29

Maier, Mona, Powell, Daniel, Harrison, Christopher, Gordon, Julie, Murchie, Peter and Allan, Julia L. (2024) Assessing decision fatigue in general practitioners’ prescribing decisions using the Australian BEACH dataset. Medical Decision Making, 44 (6), 627-640. (doi:10.1177/0272989X241263823).

Record type: Article

Abstract

Background: General practitioners (GPs) make numerous care decisions throughout their workdays. Extended periods of decision making can result in decision fatigue, a gradual shift toward decisions that are less cognitively effortful. This study examines whether observed patterns in GPs’ prescribing decisions are consistent with the decision fatigue phenomenon. We hypothesized that the likelihood of prescribing frequently overprescribed medications (antibiotics, benzodiazepines, opioids; less effortful to prescribe) will increase and the likelihood of prescribing frequently underprescribed medications (statins, osteoporosis medications; more effortful to prescribe) will decrease over the workday.

Methods: this study used nationally representative primary care data on GP-patient encounters from the Bettering the Evaluation and Care of Health program from Australia. The association between prescribing decisions and order of patient encounters over a GP’s workday was assessed with generalized linear mixed models accounting for clustering and adjusting for patient, provider, and encounter characteristics.

Results: among 262,456 encounters recorded by 2,909 GPs, the odds of prescribing antibiotics significantly increased by 8.7% with 15 additional patient encounters (odds ratio [OR] = 1.087; confidence interval [CI] = 1.059–1.116). The odds of prescribing decreased significantly with 15 additional patient encounters by 6.3% for benzodiazepines (OR = 0.937; CI = 0.893–0.983), 21.9% for statins (OR = 0.791; CI = 0.753–0.831), and 25.0% for osteoporosis medications (OR = 0.750; CI = 0.690–0.814). No significant effects were observed for opioids. All findings were replicated in confirmatory analyses except the effect of benzodiazepines.

Conclusions: GPs were increasingly likely to prescribe antibiotics and were less likely to prescribe statins and osteoporosis medications as the workday wore on, which was consistent with decision fatigue. There was no convincing evidence of decision fatigue effects in the prescribing of opioids or benzodiazepines. These findings establish decision fatigue as a promising target for optimizing prescribing behavior.

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e-pub ahead of print date: 26 July 2024
Published date: August 2024

Identifiers

Local EPrints ID: 511478
URI: http://eprints.soton.ac.uk/id/eprint/511478
ISSN: 0272-989X
PURE UUID: 8c13803f-2914-4db3-ac14-466bb15dce38
ORCID for Daniel Powell: ORCID iD orcid.org/0000-0003-4995-6057

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Date deposited: 18 May 2026 16:30
Last modified: 19 May 2026 02:13

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Contributors

Author: Mona Maier
Author: Daniel Powell ORCID iD
Author: Christopher Harrison
Author: Julie Gordon
Author: Peter Murchie
Author: Julia L. Allan

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