Evidence map›Paper›PMID 25891975›Full record

ArticleJournal of diabetes and its complications2015

Ascertainment of outpatient visits by patients with diabetes: The National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS).

Keiko Asao, Laura N McEwen, Joyce M Lee, William H Herman

Abstract readEvaluation Study
In one paragraph

Article in Journal of diabetes and its complications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Visits for Depression to Physician Assistants and Nurse Practitioners in the USA.The journal of behavioral health services & research · 2018
    Article
  8. Article
  9. 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

4 authors.

Keiko AsaoDepartment of Preventive Medicine, The University of Tennessee Health Science Center, 66N. Pauline St., Ste. 633, Memphis, TN 38111, USA; Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, The University of Michigan, 1000 Wall St., Brehm Center Room 6111, Ann Arbor, MI 48105-5714, USA. Electronic address: kasao@uthsc.edu.
Laura N McEwenDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, The University of Michigan, 1000 Wall St., Brehm Center Room 6111, Ann Arbor, MI 48105-5714, USA. Electronic address: lmattei@med.umich.edu.
Joyce M LeeChild Health Evaluation and Research Unit, Division of Pediatric Endocrinology, The University of Michigan, 300 North Ingalls St., Room 6E18, Ann Arbor, MI 48109-5456, USA. Electronic address: joyclee@med.umich.edu.
William H HermanDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, The University of Michigan, 1000 Wall St., Brehm Center Room 6111, Ann Arbor, MI 48105-5714, USA; Department of Epidemiology, The University of Michigan, 1000 Wall St., Brehm Center Room 6108, Ann Arbor, MI 48105-5714, USA. Electronic address: wherman@med.umich.edu.

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926NIDDK NIH HHS P30DK092926
6 · The paper itself

Abstract

aimsTo estimate and evaluate the sensitivity and specificity of providers' diagnosis codes and medication lists to identify outpatient visits by patients with diabetes.

methodsWe used data from the 2006 to 2010 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey. We assessed the sensitivity and specificity of providers' diagnoses and medication lists to identify patients with diabetes, using the checkbox for diabetes as the gold standard. We then examined differences in sensitivity by patients' characteristics using multivariate logistic regression models.

resultsThe checkbox identified 12,647 outpatient visits by adults with diabetes among the 70,352 visits used for this analysis. The sensitivity and specificity of providers' diagnoses or listed diabetes medications were 72.3% (95% CI: 70.8% to 73.8%) and 99.2% (99.1% to 99.4%), respectively. Diabetic patients ≥75 years of age, women, non-Hispanics, and those with private insurance or Medicare were more likely to be missed by providers' diagnoses and medication lists. Diabetic patients who had more diagnosis codes and medications recorded, had glucose or hemoglobin A1c measured, or made office- rather than hospital-outpatient visits were less likely to be missed.

conclusionsProviders' diagnosis codes and medication lists fail to identify approximately one quarter of outpatient visits by patients with diabetes.

Indexed as

Ambulatory CarePrimary Health CareAdolescentAdultAgedAged, 80 and overBlood GlucoseData AnonymizationDiabetes MellitusDrug MonitoringDrug PrescriptionsElectronic Health RecordsFemaleGlycated HemoglobinHealth Care SurveysHumansBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsDiabetes mellitusDiagnosis codesMedicationsSensitivityThe National Ambulatory Medical Care Survey (NAMCS)The National Hospital Ambulatory Medical Care Survey (NHAMCS)

Identifiers

PMID25891975
PMCPMC4458198

What OpenQuestion holds

Textmetadata
LicenceTDM
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.