Evidence map›Paper›PMID 23861675›Full record

ArticlePerspectives in health information managemen2013

Use of structured and unstructured data to identify contraceptive use in women veterans.

Julie A Womack, Matthew Scotch, Sylvia N Leung, Melissa Skanderson, Harini Bathulapalli, Sally G Haskell, Cynthia A Brandt

Abstract read
In one paragraph

Article in Perspectives in health information managemen, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Contraceptive Care in the Veterans Health Administration.Seminars in reproductive medicine · 2019
    Review
  4. Review
  5. Article
  6. 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.

Julie A WomackYale School of Nursing, New Haven, CT, USA.
Matthew Scotch
Sylvia N Leung
Melissa Skanderson
Harini Bathulapalli
Sally G Haskell
Cynthia A Brandt

Funding

Yale University Clinical and Translational Science Award ProgramKL2RR024138 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$4.8M
HIV Infection and Falls: Epidemiology and Risk AssessmentK01NR013437 · NINR · YALE UNIVERSITY · PI WOMACK, JULIE A · 2012 to 2014
$277k
NCRR NIH HHS KL2 RR024138NCRR NIH HHS UL1 RR024138NINR NIH HHS 1K01NR013437-01NINR NIH HHS K01 NR013437
6 · The paper itself

Abstract

Contraceptive use among women Veterans may not be adequately captured using administrative and pharmacy codes. Clinical progress notes may provide a useful alternative. The objectives of this study were to validate the use of administrative and pharmacy codes to identify contraceptive use in Veterans Health Administration data, and to determine the feasibility and validity of identifying contraceptive use in clinical progress notes. The study included women Veterans who participated in the Women Veterans Cohort Study, enrolled in the Veterans Affairs Connecticut Health Care System, completed a baseline survey, and had clinical progress notes from one year prior to survey completion. Contraceptive ICD-9-CM codes, V-codes, CPT codes, and pharmacy codes were identified. Progress notes were annotated to identify contraceptive use. Self-reported contraceptive use was identified from a baseline survey of health habits and healthcare practices and utilization. Sensitivity, specificity, and positive predictive value were calculated comparing administrative and pharmacy contraceptive codes and progress note-based contraceptive information to self-report survey data. Results showed that administrative and pharmacy codes were specific but not sensitive for identifying contraceptive use. For example, oral contraceptive pill codes were highly specific (1.00) but not sensitive (0.41). Data from clinical progress notes demonstrated greater sensitivity and comparable specificity. For example, for oral contraceptive pills, progress notes were both specific (0.85) and sensitive (0.73). Results suggest that the best approach for identifying contraceptive use, through either administrative codes or progress notes, depends on the research question.

Indexed as

Contraception BehaviorVeteransAdultClinical CodingFemaleHumansInternational Classification of DiseasesLongitudinal StudiesSensitivity and SpecificitySurveys and QuestionnairesUnited StatesUnited States Department of Veterans Affairsclinical codingcontraceptionelectronic health recordsVeterans

Identifiers

PMID23861675
PMCPMC3709878

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.