Evidence map›Paper›PMID 33464217›Full record

ArticleJMIR formative research2021

The Acceptability and Efficacy of Electronic Data Collection in a Hospital Neurodevelopmental Clinic: Pilot Questionnaire Study.

Shrujna Patel, Kelsie Ann Boulton, Marie Antoinette Redoblado-Hodge, Angela Papanicolaou, Diana Barnett, Beverley Bennett, Suzi Drevensek, Jane Cramsie, Kalaichelvi Ganesalingam, Natalie Ong and 7 more

Abstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

17 authors.

Shrujna Patel *Autism Clinic for Translational Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0003-4928-692X
Kelsie Ann Boulton *Autism Clinic for Translational Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-9408-7367
Marie Antoinette Redoblado-HodgeChild Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-4101-9616
Angela PapanicolaouChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0003-4776-0843
Diana BarnettChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0003-3916-9797
Beverley BennettChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0001-7930-3415
Suzi DrevensekChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0002-2007-9778
Jane CramsieChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0002-9738-7736
Kalaichelvi GanesalingamChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0003-1432-1238
Natalie OngChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0002-0962-443X
Magdalen RozsaChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0001-6580-1261
Rebecca SutherlandChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0002-4522-058X
Marcia WilliamszChild Development Unit, The Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, Australia.ORCID https://orcid.org/0000-0001-5249-4282
Izabella PokorskiAutism Clinic for Translational Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-1626-9675
Yun Ju Christine SongAutism Clinic for Translational Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0001-8776-6305
Natalie Silove *Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-1311-773X
Adam John Guastella *Autism Clinic for Translational Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0001-8178-4625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a growing need for cost-efficient and patient-centered approaches to support families in hospital- and community-based neurodevelopmental services. For such purposes, electronic data collection (EDC) may hold advantages over paper-based data collection. Such EDC approaches enable automated data collection for scoring and interpretation, saving time for clinicians and services and promoting more efficient service delivery.

objectiveThis pilot study evaluated the efficacy of EDC for the Child Development Unit, a hospital-based diagnostic assessment clinic in the Sydney Children's Hospital Network. Caregiver response rates and preference for EDC or paper-based methods were evaluated as well as the moderating role of demographic characteristics such as age, level of education, and ethnic background.

methodsFamilies were sent either a paper-based questionnaire via post or an electronic mail link for completion before attending their first on-site clinic appointment for assessment. A total of 62 families were provided a paper version of the questionnaire, while 184 families were provided the online version of the same questionnaire.

resultsCompletion rates of the questionnaire before the first appointment were significantly higher for EDC (164/184, 89.1%) in comparison to paper-based methods (24/62, 39%; P<.001). Within the EDC group, a vast majority of respondents indicated a preference for completing the questionnaire online (151/173, 87.3%), compared to paper completion (22/173, 12.7%; P<.001). Of the caregiver demographic characteristics, only the respondent's level of education was associated with modality preference, such that those with a higher level of education reported a greater preference for EDC (P=.04).

conclusionsThese results show that EDC is feasible in hospital-based clinics and has the potential to offer substantial benefits in terms of centralized data collation, time and cost savings, efficiency of service, and resource allocation. The results of this study therefore support the continued use of electronic methods to improve family-centered care in clinical practices.

Indexed as

electronic data collectionfamily-centered carehospital-based data collection

Identifiers

PMID33464217
PMCPMC7854031

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.