ArticleJournal of clinical monitoring and computing2017
Use of a patient completed iPad questionnaire to improve pre-operative assessment.
Article in Journal of clinical monitoring and computing, 2017. 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 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Virtual preoperative assessment in surgical patients: A systematic review and meta-analysis.Journal of clinical anesthesia · 2021Pooled it
- Effect of PreAnaesThesia Computerized Health (PATCH) Assessment on Duration of Nurse-Patient Consultation and Patient Experience: A Pilot Trial.International journal of environmental research and public health · 2020Trial
- Pediatric Preanesthesia Assessment Electronic Triage Tool: Implementation, Quality Improvement, and Retrospective Observational Evaluation of a Patient-Administered Questionnaire.Paediatric anaesthesia · 2026Observational
- Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study.JMIR perioperative medicine · 2023Article
- Development and Initial Testing of the Electronic Activity Card Sort (ACS3) Among Community-Dwelling Adults.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2022Article
- Delphi consensus on the American Society of Anesthesiologists' physical status classification in an Asian tertiary women's hospital.Korean journal of anesthesiology · 2022Article
- Structured Digital Self-Assessment of Patient Anamnesis Prior to Computed Tomography: Performance Evaluation and Added Value.Journal of medical systems · 2021Article
- Improving Provision of Preanesthetic Information Through Use of the Digital Conversational Agent "MyAnesth": Prospective Observational Trial.Journal of medical Internet research · 2020Article
- PreAnaesThesia computerized health (PATCH) assessment: development and validation.BMC anesthesiology · 2020Article
- Barriers and Enablers to Using a Patient-Facing Electronic Questionnaire: A Qualitative Theoretical Domains Framework Analysis.Journal of medical Internet research · 2020Article
- Investigating the Perceptions of Primary Care Dietitians on the Potential for Information Technology in the Workplace: Qualitative Study.Journal of medical Internet research · 2018Article
- Observational
- E-mail reminders improve completion rates of patient-reported outcome measures.JSES open access · 2017Article
- Tablet terminals: a useful tool to explain in vitro fertilization treatment.Fertility research and practice · 2017Article
- Development, Functioning, and Effectiveness of a Preoperative Risk Assessment Clinic.Health services insights · 2016Review
- Differential Diagnosis Decision Support Systems in Primary and Out-of-Hours Care: A Qualitative Analysis of the Needs of Key Stakeholders in Scotland.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developments in healthcare technology could improve patient care and reduce healthcare costs. There is a need to facilitate communication and increase efficiency in surgical pre-assessment clinics. This study aimed to develop an iPad application to deliver an electronic patient questionnaire, and to evaluate its use in the pre-assessment environment. Software was developed, MyOp, for a standard iPad that mirrored the paper-based pre-assessment system, with features designed for ease of patient use and remote data transfer. A case-control study was conducted, comparing use of MyOp with paper-based practice, to evaluate feasibility and patient preference. Patients were offered the use of MyOp or paper-based system. Outcomes measured included time to complete iPad questionnaire, consultation duration, and a patient preference questionnaire. MyOp cost £3500 to develop. 104 individuals participated in the study, 53 MyOp and 51 controls. MyOp reduced the median consultation duration by 5.00 min. A reduction was seen in all subgroups except those aged over 70 or urology patients. Patients preferred to complete the form independently, using a touchpad or computer but expressed concerns about data security. Use of an electronic patient questionnaire reduces consultation time delivering greater efficiency of pre-assessment nurse time. Preconceived ideas about the use of technology in older age groups are likely inaccurate and less of a barrier than previously thought. Electronic pre-assessments could be used routinely to reduce demands on healthcare facilities, improve patient care, and triage patients prior to clinic attendance.
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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.