Evidence map›Paper›PMID 31860113›Full record

ArticleApplied clinical informatics2019

Modeling a Clinical Pathway for Contraception.

Letha J Sooter, Steve Hasley, Robert Lario, Kenneth S Rubin, Faruk Hasić

Abstract read
In one paragraph

Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

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

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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Visual Modeling Languages in Patient Pathways: Scoping Review.Interactive journal of medical research · 2024
    Article
  5. Article
  6. Article
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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

5 authors.

Letha J SooterDepartment of Informatics and Networked Systems, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Steve HasleyAmerican College of Obstetricians and Gynecologists, Washington, District of Columbia, United States.
Robert LarioVeterans Health Administration and University of Utah, Salt Lake City, Utah, United States.
Kenneth S RubinVeterans Health Administration and University of Utah, Salt Lake City, Utah, United States.
Faruk HasićResearch Centre for Information Systems Engineering, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Centers for Disease Control and Prevention (CDC) produced a 72-page document titled "U.S. Selective Practice Recommendations for Contraceptive Use" in 2016. This document contains the medical eligibility criteria (MEC) for contraceptive initiation or continuation based on a patient's current health status. Notations such as Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) might be useful to model such recommendations.

objectiveOur objective was to use BPMN and DMN to model and standardize the processes and decisions involved in initiating birth control according to the CDC's MEC for birth control initiation. This model could then be incorporated into an electronic health records system or other digital platform.

methodsMedical terminology, processes, and decisions were modeled in coordination with the CDC to ensure correctness. Challenges in terminology bindings were identified and categorized.

resultsA model was successfully produced. Integration of clearly defined data elements proved to be the biggest challenge.

conclusionBPMN and DMN have strengths and weaknesses when modeling medical processes; however, they can be used to successfully create models for clinical pathways.

Indexed as

Models, StatisticalCenters for Disease Control and Prevention, U.S.ContraceptionCritical PathwaysHumansUnited States

Identifiers

PMID31860113
PMCPMC6924335

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.