Evidence map›Paper›PMID 29797513›Full record

Observational studyHealth services research2018

The Development of a Conceptual Framework and Preliminary Item Bank for Childbirth-Specific Patient-Reported Outcome Measures.

Lisa M Korst, Moshe Fridman, Samia Saeb, Naomi Greene, Arlene Fink, Kimberly D Gregory

Abstract readObservational Study
In one paragraph

Observational study in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Lisa M KorstChildbirth Research Associates, LLC, Los Angeles, CA.
Moshe FridmanAMF Consulting, Los Angeles, CA.
Samia SaebDepartment of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Burns Allen Research Institute, Los Angeles, CA.ORCID 0000-0003-4753-298X
Naomi GreeneDepartment of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Burns Allen Research Institute, Los Angeles, CA.
Arlene FinkDivision of General Internal Medicine and Department of Health Policy Management, University of California Los Angeles, Los Angeles, CA.
Kimberly D GregoryDepartment of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Burns Allen Research Institute, Los Angeles, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a conceptual framework and preliminary item bank for childbirth-specific patient-reported outcome (PRO) domains. DATA SOURCES: Women, who were U.S. residents, ≥18 years old, and ≥20 weeks pregnant, were surveyed regarding their childbirth values and preferences (V&P) using online panels. STUDY

designUsing community-based research techniques and Patient-Reported Outcomes Management Information System (PROMIS PRINCIPAL

findingsWe identified 5,880 V&P/PRO items that mapped to 19 domains and 58 subdomains. We present results for the 2,250 survey respondents who anticipated a vaginal delivery in a hospital. Wide variation existed regarding each V&P item, and personal characteristics, such as maternal confidence and ability to cope well with pain, were frequent predictors in the models. The resulting preliminary item bank consisted of 60 key personal characteristics and 63 V&P/PROs.

conclusionsThe conceptual framework and preliminary (PROMIS

Indexed as

Delivery, ObstetricPatient PreferencePatient Reported Outcome MeasuresPatient SatisfactionAdultCross-Sectional StudiesFemaleFocus GroupsHumansPregnancySurveys and QuestionnairesUnited StatesChildbirthpatient-centered outcomes researchpatient expectationspatient-reported outcomessatisfaction

Identifiers

PMID29797513
PMCPMC6153166

What OpenQuestion holds

Textmetadata
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Registered trials

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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.