Evidence map›Paper›PMID 38754758›Full record

ArticleContraception2024

Person-centered abortion care scale: Validation for medication abortion in the United States.

May Sudhinaraset, Jessica D Gipson, Michelle K Nakphong, Brenda Soun, Patience A Afulani, Ushma D Upadhyay, Rajita Patil

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Contraception, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

May SudhinarasetJonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, United States; UCLA Bixby Center to Advance Sexual and Reproductive Health Equity, University of California, Los Angeles, CA, United States. Electronic address: msudhinaraset@ucla.edu.
Jessica D GipsonJonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, United States; UCLA Bixby Center to Advance Sexual and Reproductive Health Equity, University of California, Los Angeles, CA, United States.
Michelle K NakphongDivision of Prevention Science, Department of Medicine, University of California, San Francisco, CA, United States.
Brenda SounJonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, United States.
Patience A AfulaniEpidemiology and Biostatistics Department, University of California, San Francisco, CA, United States; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA, United States.
Ushma D UpadhyayDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA, United States.
Rajita PatilUCLA Bixby Center to Advance Sexual and Reproductive Health Equity, University of California, Los Angeles, CA, United States; David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California, Los Angeles, CA, United States.

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
NICHD NIH HHS P2C HD041022
6 · The paper itself

Abstract

objectiveMedication abortions now make up the majority of abortions in the US, with new service delivery models such as telehealth; however, it is unclear how this may impact patient experiences. The objective of the study is to adapt and validate a person-centered abortion care (PCAC) scale for medication abortions that was developed in a global South context (Kenya) for use in the United States. STUDY

designThis study includes medication abortion patients from a hospital-based clinic who had one of two modes of service delivery: (1) telemedicine with no physical exam or ultrasound; or (2) in-person with clinic-based exams and ultrasounds. We conducted a sequential approach to scale development including: (1) defining constructs and item generation; (2) expert reviews; (3) cognitive interviews (n = 12); (4) survey development and online survey data collection (N = 182, including 45 telemedicine patients and 137 in-person patients); and (5) psychometric analyses.

resultsExploratory factor analyses identified 29-items for the US-PCAC scale with three subscales: (1) Respect and Dignity (10 items), (2) Responsive and Supportive Care (nine items for the full scale, one additional mode-specific item each for in-person and telemedicine), and (3) Communication and Autonomy (10 items for the full scale, one additional item for telemedicine). The US-PCAC had high content, construct, and criterion validity. It also had high reliability, with a standardized alpha for the full 29-item US-PCAC scale of 0.95. The US-PCAC score was associated with overall satisfaction.

conclusionThis study found high validity and reliability of a newly-developed person-centered abortion care scale for use in the US. As medication abortion provision expands, this scale can be used in quality improvement efforts. IMPLICATIONS: This study found high validity and reliability of a newly-developed person-centered care scale for use in the United States for in-person and telemedicine medication abortion.

Indexed as

Abortion, InducedPatient-Centered CarePatient SatisfactionPsychometricsTelemedicineAbortifacient AgentsAdolescentAdultFactor Analysis, StatisticalFemaleHumansPregnancyReproducibility of ResultsSurveys and QuestionnairesUnited StatesYoung AdultAbortifacient AgentsAbortionMedication abortionPerson-centered careQuality of care

Identifiers

PMID38754758
PMCPMC11849315

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.