Evidence map›Paper›PMID 35416171›Full record

ArticleJMIR formative research2022

Implementation of a Personalized Digital App for Pediatric Preanesthesia Evaluation and Education: Ongoing Usability Analysis and Dynamic Improvement Scheme.

Yaron Connelly, Roni Lotan, Yitzhak Brzezinski Sinai, Dan Rolls, Amir Beker, Eilone Abensour, Orit Neudorfer, Daniel Stocki

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Yaron ConnellyGistMD, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-7924-9663
Roni LotanGistMD, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-6158-7947
Yitzhak Brzezinski SinaiDepartment of Anesthesiology and Intensive Care, Tel Aviv Medical Center, Tel Aviv, Israel.ORCID https://orcid.org/0000-0001-6312-4113
Dan RollsGistMD, Tel Aviv, Israel.ORCID https://orcid.org/0000-0001-6031-1925
Amir BekerGistMD, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-0814-6245
Eilone AbensourFaculté de Pharmacie, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0002-9443-1025
Orit NeudorferGistMD, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-7451-0906
Daniel StockiDepartment of Anesthesiology and Intensive Care, Tel Aviv Medical Center, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-1943-9262
Tel Aviv University · ILClalit Health Services · ILUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreanesthesia evaluation is a basic practice preceding any surgical procedure, aimed at tailoring individualized anesthetic plans for patients, improving safety, and providing patients with educational knowledge and tools in preparation for the surgery day. In the last 2 decades, eHealth and mobile health (mHealth) settings have gradually replaced part of the face-to-face encounters as the platform for preanesthesia communication between doctor and patient, yielding a range of benefits as demonstrated in recent publications. Nevertheless, there is a lack of studies examining the effectiveness of surgical mHealth apps focusing on the pediatric preanesthetic setting and addressing their usability among families.

objectiveThis study describes a dynamic approach for the development process of GistMD's preanesthesia mHealth system, a mobile-based educational and management system designed for the pediatric setting.

methodsThe study was conducted in 4 departments at a 1500-bed quaternary, academic medical center in Tel Aviv, Israel. During the study period, the link to the preanesthesia system was sent via SMS text messages to families whose children were about to undergo surgery. The system included preanesthesia questionnaires, educational videos, downloadable instructions, and consent forms. Continuous collection and examination of usability data were conducted during the implementation term including responsiveness, effectiveness, and satisfaction indicators. The information collected in each stage was used to draw conclusions regarding potential usability gaps of the system and to plan product adjustments for the following period.

resultsDuring 141 days of implementation, the link to the GistMD preanesthesia management system was sent to 769 families, and product-fit actions were implemented during this term: (1) changing text message scheduling for addressing learnability and accessibility, resulting in a significant increase of 27% (χ

conclusionsOur results indicate that mHealth product-fit decisions originating from theory-based approaches and ongoing usability data analysis allow tailoring of the most appropriate responses for usability gaps, as reflected in increased use rates and satisfaction. In the case of the preanesthesia management system in the pediatric setting, increased usability conveyed important benefits for patients and families. This work suggests a framework and study methods that may also be applicable in other mHealth settings and domains.

Indexed as

anesthesiamHealthmHealth appsmHealth usabilitymobile healthpediatricspediatric settingpreanesthesiausability analysis

Identifiers

PMID35416171
PMCPMC9121218
OpenAlexW4223597490

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.