Evidence map›Paper›PMID 35906656›Full record

ArticleBMC health services research2022

Facility-based simulation as a programmatic tool for implementing a statewide contraceptive initiative.

Susanna R Cohen, Jami Baayd, Gabriela García, Caitlin Quade, Alexandra Gero, Madison Ekey, Catherine Poggio, Rebecca Simmons

Registry-linked trialAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03877757 (Evaluation of the Family Planning Elevated Statewide Contraceptive Service Delivery Initiative), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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.

NCT03877757 active not recruitingnot on this map

Evaluation of the Family Planning Elevated Statewide Contraceptive Service Delivery Initiative

TypeobservationalSponsorUniversity of UtahRan2019 to 2025Enrolled22ConditionsContraception
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

8 authors.

Susanna R CohenLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA. susanna.cohen@hsc.utah.edu.ORCID http://orcid.org/0000-0002-9198-8610
Jami BaaydLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA.
Gabriela GarcíaLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA.
Caitlin QuadeLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA.
Alexandra GeroLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA.
Madison EkeyLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA.
Catherine PoggioLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA.
Rebecca SimmonsLIFT Simulation Design Lab, Division of Family Planning, Department of Obstetrics and Gynecology, University of Utah, 30 North 1900 East, Salt Lake City, UT, 84132, USA.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

backgroundAssessing implementation fidelity is highly recommended, but successful approaches can be challenging. Family Planning Elevated (FPE) is a statewide contraceptive initiative which partnered with 28 health clinics across Utah. To assess implementation fidelity, we developed in-situ high-fidelity simulation training to both determine clinic adherence to FPE and offer education to implementing teams. This study aimed to develop, pilot, and assess the use of simulation as a tool for measuring implementation fidelity.

methodsWe developed two simulation scenarios to determine implementation fidelity: one scenario wherein a client is seeking a new method of contraception and another in which the same client has returned to discontinue the method. Both simulations contained multiple aspects of program implementation (e.g., determining program eligibility). We then offered simulations to all FPE partner organizations. To assess simulation training as a tool for determining implementation fidelity, we developed strategies aligned with each aspect of an adapted RE-AIM framework, including pre-post surveys, acceptability and self-efficacy testing, a checklist for programmatic adherence, field notes, action planning and analysis of monitoring data.

resultsFifteen clinical sites and 71 team members participated in the in-situ simulations. Assessment of the checklist showed that 90% of the clinics successfully demonstrated key program components, including person-centered counseling techniques such as sitting at the patient's level (95.8%); asking open-ended questions (100%); and explaining how to use the contraceptive method selected (91.7%). More than half of clinics fell short in programmatic areas including: confirmation that the FPE program covered same-day intrauterine device insertion (54.2%), and education on health risks associated with the selected contraceptive method (58.3%). After simulation, participants reported improved knowledge of how FPE works (p =  < 0.001), increased ability to identify FPE-eligible clients (p = 0.02) and heightened self-efficacy in helping clients select a method (p = 0.03). Participants were satisfied with the simulations, with most (84.1%) reporting that the simulation exceeded their expectations.

conclusionsHighly-realistic in-situ family planning simulations are acceptable to participants, positively change knowledge and clinical team confidence, and can identify systems gaps in clinical care and program implementation. Simulation offers a reciprocal way of monitoring implementation fidelity of a family planning access initiative.

trial registrationThis project was determined to be exempt by the IRB of the University of Utah, the larger Family Planning Elevated program under which this pilot study was nested is registered at ClinicalTrials.gov Identifier: NCT03877757 .

Indexed as

ContraceptionContraceptive AgentsCounselingFamily Planning ServicesHumansPilot ProjectsContraceptive AgentsClinic auditsFamily PlanningImplementation fidelitySimulation

Identifiers

PMID35906656
PMCPMC9335456

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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.