Patient-collected audio for performance assessment of the clinical encounter
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The study had 80% power to detect an absolute increase in contextualization rates from 50% to 75% with recordings from 192 intervention and 288 control patients.
“Based on the number of contextual red flags and factors we expected, we determined that to obtain 80% power to detect an absolute increase in contextualization rates when factors were present from 50% to 75%, we would need recordings from 192 intervention and 288 control patients (which also provides at least 80% power to detect the expected increase in probing).”
From Effect of Electronic Health Record Clinical Decision Support on Contextualization of Care (2022) · cites this paper as [16]
Cites
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Contextual Errors and Failures in Individualizing Patient Care
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Self-citation
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- Authors
- Weiner, S. J., Schwartz, A., Sharma, G., Binns-Calvey, A., Ashley, N., Kelly, B., & Weaver, F. M.
- Affiliations
- University of Illinois Chicago (US)
- Jesse Brown VA Medical Center (US)
- Loyola University Chicago (US)
- Corresponding author
- Weiner, Saul J.
- Venue
- The Joint Commission Journal on Quality and Patient Safety
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 41
- Issue
- 6
- Pages
- 273-278
- ISSN
- 1553-7250 (ISSN-L)
- OpenAlex
- W2411489627
- Cited by
- 27
- References
- 17
- Citations by year
- 2023: 15 · 2022: 3 · 2021: 4 · 2020: 3 · 2015: 2
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Joint Commission Journal on Quality and Patient Safety (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Substance Exposure Effects
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- opioid use disorder in pregnancy, rural healthcare access, buprenorphine, standardized patients, appointment wait times, referral patterns, Utah
- MeSH terms
- Communication, Hospital Administration, Humans, Physician-Patient Relations, Quality of Health Care, Tape Recording, Task Performance and Analysis, United States, United States Department of Veterans Affairs, Quality Improvement, Patient Safety
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