Evidence map›Paper›PMID 38938110›Full record

SynthesisHealth technology assessment (Winchester, England)2024

Benefits and harms of antenatal and newborn screening programmes in health economic assessments: the VALENTIA systematic review and qualitative investigation.

Oliver Rivero-Arias, May Ee Png, Ashley White, Miaoqing Yang, Sian Taylor-Phillips, Lisa Hinton, Felicity Boardman, Abigail McNiven, Jane Fisher, Baskaran Thilaganathan and 6 more

Abstract readSystematic Review
In one paragraph

Synthesis in Health technology assessment (Winchester, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

16 authors.

Oliver Rivero-AriasNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0003-2233-6544
May Ee PngNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-5876-9363
Ashley WhiteNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-4519-2280
Miaoqing YangNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-7975-374X
Sian Taylor-PhillipsWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0001-9843-4736
Lisa HintonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-6082-3151
Felicity BoardmanWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-3268-6276
Abigail McNivenNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-5041-2095
Jane FisherAntenatal Results and Choices, London, UK.ORCID 0000-0003-1318-0074
Baskaran ThilaganathanSt George's University Hospital NHS Foundation Trust, London, UK.ORCID 0000-0002-5531-4301
Sam OddieBradford Institute for Health Research, Bradford Children's Research, Bradford, UK.ORCID 0000-0001-8701-4912
Anne-Marie SlowtherWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-3338-8457
Svetlana RatushnyakNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-7967-5112
Nia RobertsBodleian Health Care Libraries, University of Oxford, Oxford, UK.ORCID 0000-0002-1142-6440
Jenny Shilton OsborneNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-9057-3395
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-3121-6050

Funding

Wellcome Trust 203384/Z/16/Z
6 · The paper itself

Abstract

Background: Health economic assessments are used to determine whether the resources needed to generate net benefit from an antenatal or newborn screening programme, driven by multiple benefits and harms, are justifiable. It is not known what benefits and harms have been adopted by economic evaluations assessing these programmes and whether they omit benefits and harms considered important to relevant stakeholders. Objectives: (1) To identify the benefits and harms adopted by health economic assessments in this area, and to assess how they have been measured and valued; (2) to identify attributes or relevance to stakeholders that ought to be considered in future economic assessments; and (3) to make recommendations about the benefits and harms that should be considered by these studies. Design: Mixed methods combining systematic review and qualitative work. Systematic review methods: We searched the published and grey literature from January 2000 to January 2021 using all major electronic databases. Economic evaluations of an antenatal or newborn screening programme in one or more Organisation for Economic Co-operation and Development countries were considered eligible. Reporting quality was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist. We identified benefits and harms using an integrative descriptive analysis and constructed a thematic framework. Qualitative methods: We conducted a meta-ethnography of the existing literature on newborn screening experiences, a secondary analysis of existing individual interviews related to antenatal or newborn screening or living with screened-for conditions, and a thematic analysis of primary data collected with stakeholders about their experiences with screening. Results: The literature searches identified 52,244 articles and reports, and 336 unique studies were included. Thematic framework resulted in seven themes: (1) diagnosis of screened for condition, (2) life-years and health status adjustments, (3) treatment, (4) long-term costs, (5) overdiagnosis, (6) pregnancy loss and (7) spillover effects on family members. Diagnosis of screened-for condition (115, 47.5%), life-years and health status adjustments (90, 37.2%) and treatment (88, 36.4%) accounted for most of the benefits and harms evaluating antenatal screening. The same themes accounted for most of the benefits and harms included in studies assessing newborn screening. Long-term costs, overdiagnosis and spillover effects tended to be ignored. The wide-reaching family implications of screening were considered important to stakeholders. We observed good overlap between the thematic framework and the qualitative evidence. Limitations: Dual data extraction within the systematic literature review was not feasible due to the large number of studies included. It was difficult to recruit healthcare professionals in the stakeholder's interviews. Conclusions: There is no consistency in the selection of benefits and harms used in health economic assessments in this area, suggesting that additional methods guidance is needed. Our proposed thematic framework can be used to guide the development of future health economic assessments evaluating antenatal and newborn screening programmes. Study registration: This study is registered as PROSPERO CRD42020165236. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR127489) and is published in full in

Indexed as

Cost-Benefit AnalysisNeonatal ScreeningFemaleHumansInfant, NewbornPregnancyPrenatal DiagnosisQualitative ResearchQuality-Adjusted Life YearsTechnology Assessment, BiomedicalANTENATALBENEFITSCOST-EFFECTIVENESS ANALYSISECONOMIC EVALUATIONHARMSNEWBORNSCREENING PROGRAMME

Identifiers

PMID38938110
PMCPMC11228689

What OpenQuestion holds

Textmetadata
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.