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Do Bedside Visual Tools Improve Patient and Caregiver Satisfaction? A Systematic Review of the Literature

Journal of Hospital Medicine 12(11). 2017 November;:930-936 | 10.12788/jhm.2871

BACKGROUND: Although common, the impact of low-cost bedside visual tools, such as whiteboards, on patient care is unclear.

PURPOSE: To systematically review the literature and assess the influence of bedside visual tools on patient satisfaction.

DATA SOURCES: Medline, Embase, SCOPUS, Web of Science, CINAHL, and CENTRAL.

DATA EXTRACTION: Studies of adult or pediatric hospitalized patients reporting physician identification, understanding of provider roles, patient–provider communication, and satisfaction with care from the use of visual tools were included. Outcomes were categorized as positive, negative, or neutral based on survey responses for identification, communication, and satisfaction. Two reviewers screened studies, extracted data, and assessed the risk of study bias.

DATA SYNTHESIS: Sixteen studies met the inclusion criteria. Visual tools included whiteboards (n = 4), physician pictures (n = 7), whiteboard and picture (n = 1), electronic medical record-based patient portals (n = 3), and formatted notepads (n = 1). Tools improved patients’ identification of providers (13/13 studies). The impact on understanding the providers’ roles was largely positive (8/10 studies). Visual tools improved patient–provider communication (4/5 studies) and satisfaction (6/8 studies). In adults, satisfaction varied between positive with the use of whiteboards (2/5 studies) and neutral with pictures (1/5 studies). Satisfaction related to pictures in pediatric patients was either positive (1/3 studies) or neutral (1/3 studies). Differences in tool format (individual pictures vs handouts with pictures of all providers) and study design (randomized vs cohort) may explain variable outcomes.

CONCLUSION: The use of bedside visual tools appears to improve patient recognition of providers and patient–provider communication. Future studies that include better design and outcome assessment are necessary before widespread use can be recommended.

© 2017 Society of Hospital Medicine

Acknowledgments

The authors thank Laura Appel, Kevin O’Leary, and Siddharth Singh for providing unpublished data and clarifications to help these analyses.

Disclosure

 Anupama Goyal is the guarantor. Anupama Goyal and Komalpreet Tur performed primary data abstraction and analysis. Anupama Goyal, Scott Flanders, Jason Mann, and Vineet Chopra drafted the manuscript. All authors contributed to the development of the selection criteria, the risk of bias assessment strategy, and the data extraction criteria. Anupama Goyal, Jason Mann, Whitney Townsend, and Vineet Chopra developed the search strategy. Vineet Chopra provided systematic review expertise. All authors read, provided feedback, and approved the final manuscript. The authors declare that they have no conflicts of interest.

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