Evidence map›Paper›PMID 31907250›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

Sickle-Cell Disease Co-Management, Health Care Utilization, and Hydroxyurea Use.

Nancy Crego, Christian Douglas, Emily Bonnabeau, Marian Earls, Kern Eason, Elizabeth Merwin, Gary Rains, Paula Tanabe, Nirmish Shah

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  5. Design and Refinement of CyberCellJournal of medical extended reality · 2025
    Review
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  11. Article
  12. Article
  13. Review
  14. Article
  15. Surveillance for Sickle Cell Disease - Sickle Cell Data Collection Program, Two States, 2004-2018.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2022
    Article
  16. Article
  17. Article
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  19. Review
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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

9 authors.

Nancy CregoFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS) nancy.crego@duke.edu.
Christian DouglasFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).
Emily BonnabeauFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).
Marian EarlsFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).
Kern EasonFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).
Elizabeth MerwinFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).
Gary RainsFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).
Paula TanabeFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).
Nirmish ShahFrom Duke University School of Nursing, Durham, NC (NC, CD, EB, PT); Community Care of North Carolina, Raleigh, NC (ME, KE); University of Texas College of Nursing, Austin, TX (EM); Duke University School of Medicine, Durham, NC (GR); Duke University Medical Center, Durham, NC (NS).

Funding

Disseminating NIH Evidence Based Sickle Cell Recommendations in North CarolinaR18HS024501 · AHRQ · DUKE UNIVERSITY · PI CREGO, NANCY A. · 2016 to 2019
$1.5M
AHRQ HHS R18 HS024501
6 · The paper itself

Abstract

backgroundSickle-cell disease (SCD) causes significant morbidity, premature mortality, and high disease burden, resulting in frequent health care use. Comanagement may improve utilization and patient adherence with treatments such as Hydroxyurea. The purpose of this study was to describe acute-care utilization in Medicaid-enrolled patients with SCD, patient factors associated with comanagement, and adherence to Hydroxyurea.

methodsData from 2790 patients diagnosed with SCD, age 1 to 65+ years, enrolled at least 1 month in North Carolina Medicaid between March 2016 and February 2017, were analyzed. Outpatient visits were categorized as primary care, hematologist, and nonhematologist specialist. Nurse practitioners or physician assistants with unidentified specialty type or family practice were categorized separately. Comanagement was defined as a minimum of 1 primary care and 1 hematologist visit/patient during the study period.

resultsThere were notable age-related differences in utilization of health care services. Only 34.82% of the sample was comanaged. Comanagement was higher in the 1-to-9-year-old (44.88%) and 10-to-17-year-old groups (39.22%) versus the 31-to-45-year-old (30.26%) and 65+-year-old (18.75%) age groups. Age had the greatest influence (AUC = 0.599) on whether or not a patient was comanaged. Only a third of the sample (32.24%) had at least 1 Hydroxyurea (HU) prescription. Age was the most predictive factor of good HUadherence (AUC = 0.6503). Prediction by comanagement was minimal with an AUC = 0.5615.

conclusionComanagement was a factor in predicting HUadherence, but further studies are needed to identify the frequency and components of comanagement needed to increase adherence and reduce acute care utilization.

Indexed as

Drug MonitoringAdolescentAdultAgedAge FactorsAmbulatory CareAnemia, Sickle CellAntisickling AgentsChildChild, PreschoolEmergency Service, HospitalHumansHydroxyureaInfantMedicaidMiddle AgedAntisickling AgentsHydroxyureaChild HealthEmergency DepartmentsHematologyHospitalizationHydroxyureaMedicaidMinority HealthNorth CarolinaPrimary Health CareSickle-Cell AnemiaVulnerable Populations

Identifiers

PMID31907250
PMCPMC7942752

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.