ArticleBMC anesthesiology2020
PreAnaesThesia computerized health (PATCH) assessment: development and validation.
Article in BMC anesthesiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05535205 (Effectiveness and Costs of a Digital Versus Face-to-face Preoperative Assessment Clinic), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness and Costs of a Digital Versus Face-to-face Preoperative Assessment Clinic: a Non-inferiority Trial
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Virtual preoperative assessment in surgical patients: A systematic review and meta-analysis.Journal of clinical anesthesia · 2021Pooled it
- Pediatric Preanesthesia Assessment Electronic Triage Tool: Implementation, Quality Improvement, and Retrospective Observational Evaluation of a Patient-Administered Questionnaire.Paediatric anaesthesia · 2026Observational
- Consideration of health literacy when implementing electronic questionnaires in the preoperative assessment process.British journal of anaesthesia · 2025Article
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- Article
- An In-Depth Analysis of Providers and Services of Cancellation in Anesthesia Reveals a Complex Picture after Systemic Analysis.Healthcare (Basel, Switzerland) · 2023Article
- Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study.JMIR perioperative medicine · 2023Article
- Perceptions and Attitudes of Patients and Health Care Stakeholders on Implementing a Telehealth Service for Preoperative Evaluation: A Qualitative Analysis.Telemedicine reports · 2023Article
- Update on preoperative evaluation and optimisation.Indian journal of anaesthesia · 2023Article
- Delphi consensus on the American Society of Anesthesiologists' physical status classification in an Asian tertiary women's hospital.Korean journal of anesthesiology · 2022Article
- Telemedicine in COVID-19 pandemic: Anaesthetic assessment of elective surgical patients through mobile application-based questionnaire.Indian journal of anaesthesia · 2021Article
- Preanaesthetic assessment and management in the context of the district hospital.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTechnological 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.
methodsUsing 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.
resultsModerate 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.
conclusionsSelf-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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.