PreAnaesThesia computerized health (PATCH) assessment : development and validation
Background: Technological advances in healthcare have enabled patients to participate in digital self-assessment, with reported benefits of enhanced healthcare efficiency and self-efficacy. This report describes the design and validation of a patient-administered preanaesthesia health assessment dig...
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sg-ntu-dr.10356-1463152023-03-05T16:47:39Z PreAnaesThesia computerized health (PATCH) assessment : development and validation Osman, Tarig Lew, Eileen Lum, Elaine Pooi-Ming van Galen, Louise Sandra Dabas, Rajive Sng, Ban Leong Car, Josip Lee Kong Chian School of Medicine (LKCMedicine) Centre for Population Health Sciences Science::Medicine Preanaesthesia Assessment Computer-assisted History-taking System Background: Technological advances in healthcare have enabled patients to participate in digital self-assessment, with reported benefits of enhanced healthcare efficiency and self-efficacy. This report describes the design and validation of a patient-administered preanaesthesia health assessment digital application for gathering medical history relevant to preanaesthesia assessment. Effective preoperative evaluation allows for timely optimization of medical conditions and reduces case cancellations on day of surgery. Methods: Using an iterative mixed-methods approach of literature review, surveys and panel consensus, the study sought to develop and validate a digitized preanaesthesia health assessment questionnaire in terms of face and criterion validity. A total of 228 patients were enrolled at the preoperative evaluation clinic of a tertiary women’s hospital. Inclusion criteria include: age ≥ 21 years, scheduled for same-day-admission surgery, literacy in English and willingness to use a digital device. Patient perception of the digitized application was also evaluated using the QQ10 questionnaire. Reliability of health assessment questionnaire was evaluated by comparing the percentage agreement of patient responses with nurse assessment. Results: Moderate to good criterion validity was obtained in 81.1 and 83.8% of questions for the paper and digital questionnaires respectively. Of total 3626 response-pairs obtained, there were 3405 (93.4%) concordant and 221 (6.1%) discrepant response-pairs for the digital questionnaire. Discrepant response-pairs, such as ““no/yes” and “unsure/yes”, constitute only 3.7% of total response-pairs. Patient acceptability of the digitized assessment was high, with QQ10 value and burden scores of 76 and 30%, respectively. Conclusions: Self-administration of digitized preanaesthesia health assessment is acceptable to patients and reliable in eliciting medical history. Further iteration should focus on improving reliability of the digital tool, adapting it for use in other languages and incorporating clinical decision tools. Published version 2021-02-09T05:26:09Z 2021-02-09T05:26:09Z 2020 Journal Article Osman, T., Lew, E., Lum, E. P.-M., van Galen, L. S., Dabas, R., Sng, B. L., & Car, J. (2020). PreAnaesThesia computerized health (PATCH) assessment : development and validation. BMC Anesthesiology, 20(1), 286-. doi:10.1186/s12871-020-01202-8 1471-2253 0000-0002-2143-8007 https://hdl.handle.net/10356/146315 10.1186/s12871-020-01202-8 33189131 2-s2.0-85095974334 1 20 en BMC Anesthesiology © 2020 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. application/pdf |
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Science::Medicine Preanaesthesia Assessment Computer-assisted History-taking System Osman, Tarig Lew, Eileen Lum, Elaine Pooi-Ming van Galen, Louise Sandra Dabas, Rajive Sng, Ban Leong Car, Josip PreAnaesThesia computerized health (PATCH) assessment : development and validation |
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Background: Technological advances in healthcare have enabled patients to participate in digital self-assessment, with reported benefits of enhanced healthcare efficiency and self-efficacy. This report describes the design and validation of a patient-administered preanaesthesia health assessment digital application for gathering medical history relevant to preanaesthesia assessment. Effective preoperative evaluation allows for timely optimization of medical conditions and reduces case cancellations on day of surgery. Methods: Using an iterative mixed-methods approach of literature review, surveys and panel consensus, the study sought to develop and validate a digitized preanaesthesia health assessment questionnaire in terms of face and criterion validity. A total of 228 patients were enrolled at the preoperative evaluation clinic of a tertiary women’s hospital. Inclusion criteria include: age ≥ 21 years, scheduled for same-day-admission surgery, literacy in English and willingness to use a digital device. Patient perception of the digitized application was also evaluated using the QQ10 questionnaire. Reliability of health assessment questionnaire was evaluated by comparing the percentage agreement of patient responses with nurse assessment. Results: Moderate to good criterion validity was obtained in 81.1 and 83.8% of questions for the paper and digital questionnaires respectively. Of total 3626 response-pairs obtained, there were 3405 (93.4%) concordant and 221 (6.1%) discrepant response-pairs for the digital questionnaire. Discrepant response-pairs, such as ““no/yes” and “unsure/yes”, constitute only 3.7% of total response-pairs. Patient acceptability of the digitized assessment was high, with QQ10 value and burden scores of 76 and 30%, respectively. Conclusions: Self-administration of digitized preanaesthesia health assessment is acceptable to patients and reliable in eliciting medical history. Further iteration should focus on improving reliability of the digital tool, adapting it for use in other languages and incorporating clinical decision tools. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Osman, Tarig Lew, Eileen Lum, Elaine Pooi-Ming van Galen, Louise Sandra Dabas, Rajive Sng, Ban Leong Car, Josip |
format |
Article |
author |
Osman, Tarig Lew, Eileen Lum, Elaine Pooi-Ming van Galen, Louise Sandra Dabas, Rajive Sng, Ban Leong Car, Josip |
author_sort |
Osman, Tarig |
title |
PreAnaesThesia computerized health (PATCH) assessment : development and validation |
title_short |
PreAnaesThesia computerized health (PATCH) assessment : development and validation |
title_full |
PreAnaesThesia computerized health (PATCH) assessment : development and validation |
title_fullStr |
PreAnaesThesia computerized health (PATCH) assessment : development and validation |
title_full_unstemmed |
PreAnaesThesia computerized health (PATCH) assessment : development and validation |
title_sort |
preanaesthesia computerized health (patch) assessment : development and validation |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/146315 |
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1759855800250007552 |