Evidence map›Paper›PMID 35552252›Full record

ArticleBMJ quality & safety2024

Quality framework for remote antenatal care: qualitative study with women, healthcare professionals and system-level stakeholders.

Lisa Hinton, Francesca H Dakin, Karolina Kuberska, Nicola Boydell, Janet Willars, Tim Draycott, Cathy Winter, Richard J McManus, Lucy C Chappell, Sanhita Chakrabarti and 4 more

Abstract read
In one paragraph

Article in BMJ quality & safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
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

14 authors.

Lisa HintonTHIS Institute (The Healthcare Improvement Studies), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK lisa.hinton@thisinstitute.cam.ac.uk.ORCID 0000-0002-6082-3151
Francesca H DakinNuffield Department of Primary Health Care Sciences, Oxford University, Oxford, UK.
Karolina KuberskaTHIS Institute (The Healthcare Improvement Studies), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Nicola BoydellUsher Institute, University of Edinburgh, Edinburgh, UK.
Janet WillarsDepartment of Health Sciences, University of Leicester, Leicester, UK.
Tim DraycottRoyal College of Obstetricians and Gynaecologists, London, UK.
Cathy WinterPROMPT Maternity Foundation, Bristol, UK.
Richard J McManusNuffield Department of Primary Health Care Sciences, Oxford University, Oxford, UK.
Lucy C ChappellMaternal and Fetal Research Unit Division of Women's Health, St Thomas' Hospital, London, UK.
Sanhita ChakrabartiNHS Bedfordshire Clinical Commissioning Group, Bedford, Bedfordshire, UK.
Elizabeth HowlandUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Jenny GeorgeRAND Europe, Cambridge, Cambridgeshire, UK.
Brandi LeachRAND Europe, Cambridge, Cambridgeshire, UK.
Mary Dixon-WoodsTHIS Institute (The Healthcare Improvement Studies), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-quality antenatal care is important for ensuring optimal birth outcomes and reducing risks of maternal and fetal mortality and morbidity. The COVID-19 pandemic disrupted the usual provision of antenatal care, with much care shifting to remote forms of provision. We aimed to characterise what quality would look like for remote antenatal care from the perspectives of those who use, provide and organise it.

methodsThis UK-wide study involved interviews and an online survey inviting free-text responses with: those who were or had been pregnant since March 2020; maternity professionals and managers of maternity services and system-level stakeholders. Recruitment used network-based approaches, professional and community networks and purposively selected hospitals. Analysis of interview transcripts was based on the constant comparative method. Free-text survey responses were analysed using a coding framework developed by researchers.

findingsParticipants included 106 pregnant women and 105 healthcare professionals and managers/stakeholders. Analysis enabled generation of a framework of the domains of quality that appear to be most relevant to stakeholders in remote antenatal care: efficiency and timeliness; effectiveness; safety; accessibility; equity and inclusion; person-centredness and choice and continuity. Participants reported that remote care was not straightforwardly positive or negative across these domains. Care that was more transactional in nature was identified as more suitable for remote modalities, but remote care was also seen as having potential to undermine important aspects of trusting relationships and continuity, to amplify or create new forms of structural inequality and to create possible risks to safety.

conclusionsThis study offers a provisional framework that can help in structuring thinking, policy and practice. By outlining the range of domains relevant to remote antenatal care, this framework is likely to be of value in guiding policy, practice and research.

Indexed as

COVID-19Prenatal CareQualitative ResearchAdultFemaleHealth PersonnelHealth Services AccessibilityHumansPregnancyQuality of Health CareSARS-CoV-2TelemedicineUnited Kingdomhealthcare quality improvementhealth services researchobstetrics and gynecologyqualitative researchwomens health

Identifiers

PMID35552252
PMCPMC11041557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.