Evidence map›Paper›PMID 30025667›Full record

ArticleThe Journal of pediatrics2018

An Assessment of Public Preferences for Newborn Screening Using Best-Worst Scaling.

Beth A Tarini, Norma-Jean Simon, Katherine Payne, Acham Gebremariam, Angela Rose, Lisa A Prosser

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in The Journal of pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Perception of genomic newborn screening among peripartum mothers.European journal of human genetics : EJHG · 2024
    Article
  3. Advocacy in neonatology: current issues and introduction to the series.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Review
  4. Diagnostic experiences of Duchenne families and their preferences for newborn screening: A mixed-methods study.American journal of medical genetics. Part C, Seminars in medical genetics · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Beth A TariniDepartment of Pediatrics, University of Iowa, Iowa City, IA; Child Health Research and Evaluation Center, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI. Electronic address: beth-tarini@uiowa.edu.
Norma-Jean SimonDivision of Emergency Medicine, Lurie Children's Hospital, Chicago, IL.
Katherine PayneManchester Centre for Health Economics, The University of Manchester, Manchester, United Kingdom.
Acham GebremariamChild Health Research and Evaluation Center, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI.
Angela RoseChild Health Research and Evaluation Center, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI.
Lisa A ProsserChild Health Research and Evaluation Center, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI; Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI.
University of Michigan · USLurie Children's Hospital · USManchester Academic Health Science Centre · GBUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify and quantify public preferences for attributes of newborn screening conditions. STUDY

designWe conducted an online national survey of the public (n = 502) to evaluate preferences for attributes of candidate newborn screening conditions. Respondents were presented with hypothetical condition profiles that were defined using 10 attributes with 2-6 levels per attribute. Participants indicated whether they would recommend screening for a condition and which condition attributes were most and least important when making this decision (best-worst scaling). Difference scores were calculated and stratified by condition recommendation (recommend or not recommend for screening). Regression analyses were used to evaluate the effect of attributes on choice to screen or not screen.

resultsThe number of babies diagnosed was important to those who would recommend newborn screening for a profile, and age at which the treatment would start was important to those who would not recommend newborn screening. Cost was considered to be a key attribute, and treatment effectiveness and impact of making the diagnosis through newborn screening were of low importance for both groups.

conclusionPublic preferences identified through survey methods that provide an adequate baseline understanding of newborn screening can be used to inform newborn screening decisions.

Indexed as

Neonatal ScreeningPatient PreferencePublic OpinionAdolescentAdultDecision MakingFemaleHumansInfant, NewbornInfant, Newborn, DiseasesMaleMiddle AgedSurveys and QuestionnairesTime-to-TreatmentYoung Adultinfant healthinherited disordersneonatal screening

Identifiers

PMID30025667
OpenAlexW2804895706

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.