Literature DB >> 27154878

Opportunities to improve clinical summaries for patients at hospital discharge.

Erin Sarzynski1,2, Hamza Hashmi3, Jeevarathna Subramanian3, Laurie Fitzpatrick1, Molly Polverento1,2, Michael Simmons4, Kevin Brooks2, Charles Given1,2.   

Abstract

BACKGROUND: Clinical summaries are electronic health record (EHR)-generated documents given to hospitalised patients during the discharge process to review their hospital stays and inform postdischarge care. Presently, it is unclear whether clinical summaries include relevant content or whether healthcare organisations configure their EHRs to generate content in a way that promotes patient self-management after hospital discharge. We assessed clinical summaries in three relevant domains: (1) content; (2) organisation; and (3) readability, understandability and actionability.
METHODS: Two authors performed independent retrospective chart reviews of 100 clinical summaries generated at two Michigan hospitals using different EHR vendors for patients discharged 1 April -30 June 2014. We developed an audit tool based on the Meaningful Use view-download-transmit objective and the Society of Hospital Medicine Discharge Checklist (content); the Institute of Medicine recommendations for distributing easy-to-understand print material (organisation); and five readability formulas and the Patient Education Materials Assessment Tool (readability, understandability and actionability).
RESULTS: Clinical summaries averaged six pages (range 3-12). Several content elements were universally auto-populated into clinical summaries (eg, medication lists); others were not (eg, care team). Eighty-five per cent of clinical summaries contained discharge instructions, more often generated from third-party sources than manually entered by clinicians. Clinical summaries contained an average of 14 unique messages, including non-clinical elements irrelevant to postdischarge care. Medication list organisation reflected reconciliation mandates, and dosing charts, when present, did not carry column headings over to subsequent pages. Summaries were written at the 8th-12th grade reading level and scored poorly on assessments of understandability and actionability. Inter-rater reliability was strong for most elements in our audit tool.
CONCLUSIONS: Our study highlights opportunities to improve clinical summaries for guiding patients' postdischarge care. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Health services research; Medication safety; Patient education; Patient-centred care

Mesh:

Year:  2016        PMID: 27154878     DOI: 10.1136/bmjqs-2015-005201

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  10 in total

1.  Challenges optimizing the after visit summary.

Authors:  Alex Federman; Erin Sarzynski; Cindy Brach; Paul Francaviglia; Jessica Jacques; Lina Jandorf; Angela Sanchez Munoz; Michael Wolf; Joseph Kannry
Journal:  Int J Med Inform       Date:  2018-09-15       Impact factor: 4.046

2.  Impact of team-versus ward-aligned clinical pharmacy on unintentional medication discrepancies at admission.

Authors:  Sharon M Byrne; Tamasine C Grimes; Marie-Claire Jago-Byrne; Mairéad Galvin
Journal:  Int J Clin Pharm       Date:  2016-12-22

3.  Interrater reliability of the Patient Education Materials Assessment Tool (PEMAT).

Authors:  Julia Vishnevetsky; Chasity Burrows Walters; Kay See Tan
Journal:  Patient Educ Couns       Date:  2017-09-06

4.  A Heuristic Evaluation to Assess Use of After Visit Summaries for Supporting Continuity of Care.

Authors:  Patrice Tremoulet; Ramya Krishnan; Dean Karavite; Naveen Muthu; Susan Harkness Regli; Amy Will; Jeremy Michel
Journal:  Appl Clin Inform       Date:  2018-09-12       Impact factor: 2.342

5.  Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.

Authors:  Jinying Chen; Hong Yu
Journal:  J Biomed Inform       Date:  2017-03-04       Impact factor: 6.317

6.  Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations.

Authors:  Jinying Chen; Jiaping Zheng; Hong Yu
Journal:  JMIR Med Inform       Date:  2016-11-30

7.  Attitudes of physicians towards target groups and content of the discharge summary: a cross-sectional analysis in Styria, Austria.

Authors:  Magdalena Hoffmann; Christine Maria Schwarz; Gudrun Pregartner; Maximilian Weinrauch; Lydia Jantscher; Lars Kamolz; Gernot Brunner; Gerald Sendlhofer
Journal:  BMJ Open       Date:  2019-12-17       Impact factor: 2.692

8.  When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?

Authors:  Xing He; Rui Zhang; Jordan Alpert; Sicheng Zhou; Terrence J Adam; Aantaki Raisa; Yifan Peng; Hansi Zhang; Yi Guo; Jiang Bian
Journal:  JAMIA Open       Date:  2021-04-04

9.  Patient and clinician perceptions of the trauma and acute care surgery hospitalization discharge transition of care: a qualitative study.

Authors:  Nikia R McFadden; Melissa M Gosdin; Gregory J Jurkovich; Garth H Utter
Journal:  Trauma Surg Acute Care Open       Date:  2022-01-19

Review 10.  Leveraging Electronic Health Records to Address Breast Cancer Disparities.

Authors:  Solange Bayard; Genevieve Fasano; Rulla M Tamimi; Pilyung Stephen Oh
Journal:  Curr Breast Cancer Rep       Date:  2022-09-03
  10 in total

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