Evidence map›Paper›PMID 29297754›Full record

ArticleJournal of women's health (2002)2018

Impact of Patient Reminders on Papanicolaou Test Completion for High-Risk Patients Identified by a Clinical Decision Support System.

Kathy L MacLaughlin, Maya E Kessler, Ravikumar Komandur Elayavilli, Branden C Hickey, Marianne R Scheitel, Kavishwar B Wagholikar, Hongfang Liu, Walter K Kremers, Rajeev Chaudhry

Abstract read
In one paragraph

Article in Journal of women's health (2002), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Kathy L MacLaughlin1 Department of Family Medicine, Mayo Clinic , Rochester, Minnesota.
Maya E Kessler2 Division of Primary Care Internal Medicine, Mayo Clinic , Rochester, Minnesota.
Ravikumar Komandur Elayavilli3 Division of Biomedical Statistics and Informatics, Mayo Clinic , Rochester, Minnesota.
Branden C Hickey4 Knowledge and Delivery Center, Mayo Clinic , Rochester, Minnesota.
Marianne R Scheitel4 Knowledge and Delivery Center, Mayo Clinic , Rochester, Minnesota.
Kavishwar B Wagholikar5 Department of Medicine, Massachusetts General Hospital , Boston, Massachusetts.
Hongfang Liu3 Division of Biomedical Statistics and Informatics, Mayo Clinic , Rochester, Minnesota.
Walter K Kremers3 Division of Biomedical Statistics and Informatics, Mayo Clinic , Rochester, Minnesota.
Rajeev Chaudhry2 Division of Primary Care Internal Medicine, Mayo Clinic , Rochester, Minnesota.

Funding

Secondary use of EMRs for surgical complication surveillanceR01EB019403 · NIBIB · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG, STORLIE, CURTIS · 2015 to 2022
$3.8M
NLP-enabled decision support for cervical cancer screening and surveillanceR21HS022911 · AHRQ · MAYO CLINIC ROCHESTER · PI CHAUDHRY, RAJEEV · 2014 to 2015
$290k
AHRQ HHS R21 HS022911NIBIB NIH HHS R01 EB019403
6 · The paper itself

Abstract

backgroundA clinical decision support system (CDSS) for cervical cancer screening identifies patients due for routine cervical cancer screening. Yet, high-risk patients who require more frequent screening or earlier follow-up to address past abnormal results are not identified. We aimed to assess the effect of a complex CDSS, incorporating national guidelines for high-risk patient screening and abnormal result management, its implementation to identify patients overdue for testing, and the outcome of sending a targeted recommendation for follow-up. MATERIALS AND

methodsAt three primary care clinics affiliated with an academic medical center, a reminder recommending an appointment for Papanicolaou (Pap) testing or Pap and human papillomavirus cotesting was sent to high-risk women aged 18 through 65 years (intervention group) identified by CDSS as overdue for testing. Historical control patients, who did not receive a reminder, were identified by CDSS 1 year before the date when reminders were sent to the intervention group. Test completion rates were compared between the intervention and control groups through a generalized estimating equation extension.

resultsAcross the three sites, the average completion rate of recommended follow-up testing was significantly higher in the intervention group at 23.7% (61/257) than the completion rate at 3.3% (17/516) in the control group (p < 0.001).

conclusionsA CDSS with enhanced capabilities to identify high-risk women due for cervical cancer testing beyond routine screening intervals, with subsequent patient notification, has the potential to decrease cervical precancer and cancer by improving adherence to guideline-compliant follow-up and needed treatment.

Indexed as

Decision Support Systems, ClinicalMass ScreeningAdultAgedEarly Detection of CancerFemaleHumansMiddle AgedPapanicolaou TestPatient ComplianceReminder SystemsSocioeconomic FactorsUterine Cervical NeoplasmsVaginal Smearsabnormal Pap managementcervical cancer preventionclinical decision supporthuman papillomavirus

Identifiers

PMID29297754
PMCPMC5953769

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.