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JOURNAL ARTICLE
META-ANALYSIS
REVIEW
SYSTEMATIC REVIEW
Effect of scribes on patient throughput, revenue, and patient and provider satisfaction: a systematic review and meta-analysis.
American Journal of Emergency Medicine 2016 October
BACKGROUND: Scribes offer a potential solution to the clerical burden and time constraints felt by health care providers.
OBJECTIVES: This is a systematic review and meta-analysis to evaluate scribe effect on patient throughput, revenue, and patient and provider satisfaction.
METHODS: Six electronic databases were systematically searched from inception until May 2015. We included studies where clinicians used a scribe. We collected throughput metrics, billing data, and patient/provider satisfaction data. Meta-analyses were conducted using a random effects model and mean differences (MDs) with 95% confidence intervals (CIs) with adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement.
RESULTS: From a total of 210 titles, 17 studies were eligible and included. Qualitative analysis suggests improvement in provider/patient satisfaction. Meta-analysis on throughput data was derived from 3 to 5 studies depending on the metric; meta-analysis revealed no impact of scribes on length of stay (346 minutes for scribes, 344 minutes for nonscribed; MD -1.6 minutes, 95% CI -22.3 to 19.2 minutes) or provider-to-disposition time (235 minutes for scribes, 216 for nonscribed; MD -18.8 minutes, 95% CI -22.3 to 19.2) with an increase in patients seen per hour (0.17 more patient per hour; 95% CI 0.02-32). Two studies reported relative value units, which increased 0.21 (95% CI 0-0.42) per patient with scribe use.
CONCLUSION: We found no difference in length of stay or time to disposition with a small increase in the number of patients per hour seen when using scribes. Potential benefits include revenue and patient/provider satisfaction.
OBJECTIVES: This is a systematic review and meta-analysis to evaluate scribe effect on patient throughput, revenue, and patient and provider satisfaction.
METHODS: Six electronic databases were systematically searched from inception until May 2015. We included studies where clinicians used a scribe. We collected throughput metrics, billing data, and patient/provider satisfaction data. Meta-analyses were conducted using a random effects model and mean differences (MDs) with 95% confidence intervals (CIs) with adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement.
RESULTS: From a total of 210 titles, 17 studies were eligible and included. Qualitative analysis suggests improvement in provider/patient satisfaction. Meta-analysis on throughput data was derived from 3 to 5 studies depending on the metric; meta-analysis revealed no impact of scribes on length of stay (346 minutes for scribes, 344 minutes for nonscribed; MD -1.6 minutes, 95% CI -22.3 to 19.2 minutes) or provider-to-disposition time (235 minutes for scribes, 216 for nonscribed; MD -18.8 minutes, 95% CI -22.3 to 19.2) with an increase in patients seen per hour (0.17 more patient per hour; 95% CI 0.02-32). Two studies reported relative value units, which increased 0.21 (95% CI 0-0.42) per patient with scribe use.
CONCLUSION: We found no difference in length of stay or time to disposition with a small increase in the number of patients per hour seen when using scribes. Potential benefits include revenue and patient/provider satisfaction.
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