Evidence map›Paper›PMID 24003977›Full record

ArticleJournal of obstetric, gynecologic, and neonatal nursing : JOGNN

Nurses' perspectives on the intersection of safety and informed decision making in maternity care.

Carrie H Jacobson, Marya G Zlatnik, Holly Powell Kennedy, Audrey Lyndon

Abstract read
In one paragraph

Article in Journal of obstetric, gynecologic, and neonatal nursing : JOGNN. 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. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Carrie H Jacobson
Marya G Zlatnik
Holly Powell Kennedy
Audrey Lyndon

Funding

CTSA: K12 COMPONENTKL2RR024130 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$19.3M
NCRR NIH HHS KL2 RR024130
6 · The paper itself

Abstract

objectiveTo explore maternity nurses' perceptions of women's informed decision making during labor and birth to better understand how interdisciplinary communication challenges might affect patient safety.

designConstructivist grounded theory.

settingFour hospitals in the western United States.

participantsForty-six (46) nurses and physicians practicing in maternity units.

methodData collection strategies included individual interviews and participant observation. Data were analyzed using the constant comparative method, dimensional analysis, and situational analysis (Charmaz, 2006; Clarke, 2005; Schatzman, 1991).

resultsThe nurses' central action of holding off harm encompassed three communication strategies: persuading agreement, managing information, and coaching of mothers and physicians. These strategies were executed in a complex, hierarchical context characterized by varied practice patterns and relationships. Nurses' priorities and patient safety goals were sometimes misaligned with those of physicians, resulting in potentially unsafe communication.

conclusionsThe communication strategies nurses employed resulted in intended and unintended consequences with safety implications for mothers and providers and had the potential to trap women in the middle of interprofessional conflicts and differences of opinion.

Indexed as

Decision Support TechniquesInterdisciplinary CommunicationPatient SafetyAdultAttitude of Health PersonnelCross-Sectional StudiesDecision MakingDelivery, ObstetricFemaleHospitals, TeachingHumansInfant, NewbornMaternal-Child NursingNurse-Patient RelationsNurse's RolePatient Care Teamchildbirthcommunicationgrounded theorymaternity nursingpatient safetyUnited States

Identifiers

PMID24003977
PMCPMC3786167

What OpenQuestion holds

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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.