Evidence map›Paper›PMID 26195539›Full record

ArticlePediatrics2015

Prevalence of Parental Misconceptions About Antibiotic Use.

Louise Elaine Vaz, Kenneth P Kleinman, Matthew D Lakoma, M Maya Dutta-Linn, Chelsea Nahill, James Hellinger, Jonathan A Finkelstein

Abstract read
In one paragraph

Article in Pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Characterising patient complaints in out-of-hours general practice: a retrospective cohort study in Ireland.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Pooled it
  2. Article
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  10. Article
  11. Awareness and attitudes of Saudi parents toward otitis media in children.Journal of family medicine and primary care · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Louise Elaine VazDivision of Pediatric Infectious Diseases, Doernbecher Children's Hospital, Oregon Health & Science University, Portland, Oregon; vaz@ohsu.edu.
Kenneth P KleinmanDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts;
Matthew D LakomaDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts;
M Maya Dutta-LinnDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts;
Chelsea NahillJohns Hopkins School of Nursing, Baltimore, Maryland;
James HellingerNeighborhood Health Plan, Boston, Massachusetts; Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts; and.
Jonathan A FinkelsteinDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts; Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts.

Funding

Pediatric Infectious Diseases Research TrainingT32HD055148 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI WESSELS, MICHAEL R · 2008 to 2018
$2.7M
Research Training in Prevention and Care of Chronic Illness in ChildhoodT32HD075727 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI FINKELSTEIN, JONATHAN A · 2013 to 2017
$1.5M
Emerging Trends in Antibiotic Use and Their Impact on Primary Care for ChildrenK24HD060786 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI FINKELSTEIN, JONATHAN A · 2010 to 2014
$944k
NICHD NIH HHS 1K24HD060786NICHD NIH HHS K24 HD060786NICHD NIH HHS T32 HD055148NICHD NIH HHS T32HD066148NICHD NIH HHS T32 HD075727NICHD NIH HHS T32HD075727
6 · The paper itself

Abstract

backgroundDifferences in antibiotic knowledge and attitudes between parents of Medicaid-insured and commercially insured children have been previously reported. It is unknown whether understanding has improved and whether previously identified differences persist.

methodsA total of 1500 Massachusetts parents with a child <6 years old insured by a Medicaid managed care or commercial health plan were surveyed in spring 2013. We examined antibiotic-related knowledge and attitudes by using χ(2) tests. Multivariable modeling was used to assess current sociodemographic predictors of knowledge and evaluate changes in predictors from a similar survey in 2000.

resultsMedicaid-insured parents in 2013 (n = 345) were younger, were less likely to be white, and had less education than those commercially insured (n = 353), P < .01. Fewer Medicaid-insured parents answered questions correctly except for one related to bronchitis, for which there was no difference (15% Medicaid vs 16% commercial, P < .66). More parents understood that green nasal discharge did not require antibiotics in 2013 compared with 2000, but this increase was smaller among Medicaid-insured (32% vs 22% P = .02) than commercially insured (49% vs 23%, P < .01) parents. Medicaid-insured parents were more likely to request unnecessary antibiotics in 2013 (P < .01). Multivariable models for predictors of knowledge or attitudes demonstrated complex relationships between insurance status and sociodemographic variables.

conclusionsMisconceptions about antibiotic use persist and continue to be more prevalent among parents of Medicaid-insured children. Improvement in understanding has been more pronounced in more advantaged populations. Tailored efforts for socioeconomically disadvantaged populations remain warranted to decrease parental drivers of unnecessary antibiotic prescribing.

Indexed as

Attitude to HealthParentsAdultAnti-Bacterial AgentsChild, PreschoolFemaleHumansMaleMiddle AgedUnited StatesYoung AdultAnti-Bacterial Agents

Identifiers

PMID26195539
PMCPMC4516948

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.