Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review

BackgroundMany medical conditions, perhaps 80% of them, can be diagnosed by taking a thorough history of present illness (HPI). However, in the clinical setting, situational factors such as interruptions and time pressure may cause interactions with patients to be brief and f...

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Main Authors: Carl T Berdahl, Andrew J Henreid, Joshua M Pevnick, Kai Zheng, Teryl K Nuckols
Format: Article
Language:English
Published: JMIR Publications 2022-11-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2022/11/e36074
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author Carl T Berdahl
Andrew J Henreid
Joshua M Pevnick
Kai Zheng
Teryl K Nuckols
author_facet Carl T Berdahl
Andrew J Henreid
Joshua M Pevnick
Kai Zheng
Teryl K Nuckols
author_sort Carl T Berdahl
collection DOAJ
description BackgroundMany medical conditions, perhaps 80% of them, can be diagnosed by taking a thorough history of present illness (HPI). However, in the clinical setting, situational factors such as interruptions and time pressure may cause interactions with patients to be brief and fragmented. One solution for improving clinicians’ ability to collect a thorough HPI and maximize efficiency and quality of care could be to use a digital tool to obtain the HPI before face-to-face evaluation by a clinician. ObjectiveOur objective was to identify and characterize digital tools that have been designed to obtain the HPI directly from patients or caregivers and present this information to clinicians before a face-to-face encounter. We also sought to describe outcomes reported in testing of these tools, especially those related to usability, efficiency, and quality of care. MethodsWe conducted a scoping review using predefined search terms in the following databases: MEDLINE, CINAHL, PsycINFO, Web of Science, Embase, IEEE Xplore Digital Library, ACM Digital Library, and ProQuest Dissertations & Theses Global. Two reviewers screened titles and abstracts for relevance, performed full-text reviews of articles meeting the inclusion criteria, and used a pile-sorting procedure to identify distinguishing characteristics of the tools. Information describing the tools was primarily obtained from identified peer-reviewed sources; in addition, supplementary information was obtained from tool websites and through direct communications with tool creators. ResultsWe identified 18 tools meeting the inclusion criteria. Of these 18 tools, 14 (78%) used primarily closed-ended and multiple-choice questions, 1 (6%) used free-text input, and 3 (17%) used conversational (chatbot) style. More than half (10/18, 56%) of the tools were tailored to specific patient subpopulations; the remaining (8/18, 44%) tools did not specify a target subpopulation. Of the 18 tools, 7 (39%) included multilingual support, and 12 (67%) had the capability to transfer data directly into the electronic health record. Studies of the tools reported on various outcome measures related to usability, efficiency, and quality of care. ConclusionsThe HPI tools we identified (N=18) varied greatly in their purpose and functionality. There was no consensus on how patient-generated information should be collected or presented to clinicians. Existing tools have undergone inconsistent levels of testing, with a wide variety of different outcome measures used in evaluation, including some related to usability, efficiency, and quality of care. There is substantial interest in using digital tools to obtain the HPI from patients, but the outcomes measured have been inconsistent. Future research should focus on whether using HPI tools can lead to improved patient experience and health outcomes, although surrogate end points could instead be used so long as patient safety is monitored.
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spelling doaj.art-78cdcb98694e4d0dae18b7229f024f372023-08-28T23:18:03ZengJMIR PublicationsJournal of Medical Internet Research1438-88712022-11-012411e3607410.2196/36074Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping ReviewCarl T Berdahlhttps://orcid.org/0000-0002-4374-3280Andrew J Henreidhttps://orcid.org/0000-0001-8466-1057Joshua M Pevnickhttps://orcid.org/0000-0003-0621-1485Kai Zhenghttps://orcid.org/0000-0003-4121-4948Teryl K Nuckolshttps://orcid.org/0000-0002-0416-1595 BackgroundMany medical conditions, perhaps 80% of them, can be diagnosed by taking a thorough history of present illness (HPI). However, in the clinical setting, situational factors such as interruptions and time pressure may cause interactions with patients to be brief and fragmented. One solution for improving clinicians’ ability to collect a thorough HPI and maximize efficiency and quality of care could be to use a digital tool to obtain the HPI before face-to-face evaluation by a clinician. ObjectiveOur objective was to identify and characterize digital tools that have been designed to obtain the HPI directly from patients or caregivers and present this information to clinicians before a face-to-face encounter. We also sought to describe outcomes reported in testing of these tools, especially those related to usability, efficiency, and quality of care. MethodsWe conducted a scoping review using predefined search terms in the following databases: MEDLINE, CINAHL, PsycINFO, Web of Science, Embase, IEEE Xplore Digital Library, ACM Digital Library, and ProQuest Dissertations & Theses Global. Two reviewers screened titles and abstracts for relevance, performed full-text reviews of articles meeting the inclusion criteria, and used a pile-sorting procedure to identify distinguishing characteristics of the tools. Information describing the tools was primarily obtained from identified peer-reviewed sources; in addition, supplementary information was obtained from tool websites and through direct communications with tool creators. ResultsWe identified 18 tools meeting the inclusion criteria. Of these 18 tools, 14 (78%) used primarily closed-ended and multiple-choice questions, 1 (6%) used free-text input, and 3 (17%) used conversational (chatbot) style. More than half (10/18, 56%) of the tools were tailored to specific patient subpopulations; the remaining (8/18, 44%) tools did not specify a target subpopulation. Of the 18 tools, 7 (39%) included multilingual support, and 12 (67%) had the capability to transfer data directly into the electronic health record. Studies of the tools reported on various outcome measures related to usability, efficiency, and quality of care. ConclusionsThe HPI tools we identified (N=18) varied greatly in their purpose and functionality. There was no consensus on how patient-generated information should be collected or presented to clinicians. Existing tools have undergone inconsistent levels of testing, with a wide variety of different outcome measures used in evaluation, including some related to usability, efficiency, and quality of care. There is substantial interest in using digital tools to obtain the HPI from patients, but the outcomes measured have been inconsistent. Future research should focus on whether using HPI tools can lead to improved patient experience and health outcomes, although surrogate end points could instead be used so long as patient safety is monitored.https://www.jmir.org/2022/11/e36074
spellingShingle Carl T Berdahl
Andrew J Henreid
Joshua M Pevnick
Kai Zheng
Teryl K Nuckols
Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review
Journal of Medical Internet Research
title Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review
title_full Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review
title_fullStr Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review
title_full_unstemmed Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review
title_short Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review
title_sort digital tools designed to obtain the history of present illness from patients scoping review
url https://www.jmir.org/2022/11/e36074
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