Evidence map›Paper›PMID 37644387›Full record

ArticleBMC medical research methodology2023

An innovative sequential mixed-methods approach to evaluating clinician acceptability during implementation of a standardized labor induction protocol.

Rebecca Feldman Hamm, Lisa D Levine, Julia E Szymczak, Samuel Parry, Sindhu K Srinivas, Rinad S Beidas

Registry-linked trialAbstract read
In one paragraph

Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07410689 (SAFE.AI), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT07410689 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

SAFE.AI: Developing and Testing an AI-based Hybrid Chatbot for Financial Empowerment in Rural Cancer Care

TypeinterventionalSponsorUniversity of UtahRan2026 to 2027Enrolled60ConditionsCancer, Financial ToxicityArmsRule-Based Chatbot, Hybrid Chatbot
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Polygenic risk scores in the clinic: Health-system leaders and primary care providers weigh in.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Clinician Views of an Opioid Prescribing Report with Peer Comparisons and Patient-Reported Outcomes.American journal of medical quality : the official journal of the American College of Medical Quality
    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

6 authors.

Rebecca Feldman HammDivision of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA. Rebecca.feldmanhamm@uphs.upenn.edu.
Lisa D LevineDivision of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA.
Julia E SzymczakDepartment of Internal Medicine, University of Utah, Salt Lake City, UT, USA.
Samuel ParryDivision of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA.
Sindhu K SrinivasDivision of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA.
Rinad S BeidasDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

A standardized labor induction protocol to reduce primary cesarean and racial disparities in labor outcomes: a prospective cohort studyK23HD102523 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI HAMM, REBECCA FELDMAN · 2020 to 2023
$680k
NICHD NIH HHS K23 HD102523
6 · The paper itself

Abstract

backgroundImplementation outcomes, including acceptability, are of critical importance in both implementation research and practice. The gold standard measure of acceptability, Acceptability of Intervention Measure (AIM), skews positively with a limited range. In an ongoing hybrid effectiveness-implementation trial, we aimed to evaluate clinician acceptability of induction standardization. Here, we describe an innovative mixed-methods approach to maximize the interpretability of the AIM using a case study in maternal health.

methodsIn this explanatory sequential mixed methods study, we distributed the validated, 4-question AIM (total 4-20) to labor and delivery clinicians 6 months post-implementation at 2 sites (Site 1: 3/2021; Site 2: 6/2021). Respondents were grouped by total score into tertiles. The top ("High" Acceptability) and bottom ("Low" Acceptability) tertiles were invited to participate in a 30-minute semi-structured qualitative interview from 6/2021 to 10/2021 until thematic saturation was reached in each acceptability group. Participants were purposively sampled by role and site. Interviews were coded using an integrated approach, incorporating a priori attributes (Consolidated Framework for Implementation Research constructs) into a modified content analysis approach.

results104 clinicians completed the initial survey; 24 were interviewed (12 "High" and 12 "Low" Acceptability). Median total AIM scores were 20/20 IQR[20-20] in the High and 12.5/20 IQR[11-14] in the Low Acceptability groups. In both groups, clinicians were enthusiastic about efforts to standardize labor induction, believing it reduces inter-clinician variability and improves equitable, evidence-based care. In the Low Acceptability group, clinicians stated the need for flexibility and consideration for patient uniqueness. Rarely, clinicians felt labor induction could not or should not be standardized, citing discomfort with medicalization of labor, and concerns with "bulldozing" the patient with interventions. Suggested strategies for overcoming negative sentiment included comprehensive clinician education, as well as involving patients as active participants in the protocol prenatally.

conclusionsThis study utilized AIM in an innovative sequential mixed-methods approach to characterize clinician acceptability, which may be generalizable across implementation endeavors. By performing this work during a hybrid trial, implementation strategies to improve acceptability emerged (clinician education focusing on respect for flexibility; involving patients as active participants prenatally) for year 2, which will inform future multi-site work.

Indexed as

Labor, InducedMaternal HealthObstetriciansAdultAttitude of Health PersonnelEducational StatusEmotionsFemaleHumansMiddle AgedAcceptabilityAcceptability of intervention measureHybrid trialMixed-methodsStandardization

Identifiers

PMID37644387
PMCPMC10463761

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.