Evidence map›Paper›PMID 32555555›Full record

ArticleOncology nursing forum2020

Causes and Consequences of Chemotherapy Delays in Ambulatory Oncology Practices: A Multisite Qualitative Study.

Megan Lafferty, Alex Fauer, Nathan Wright, Milisa Manojlovich, Christopher R Friese

Abstract readMulticenter Study
In one paragraph

Article in Oncology nursing forum, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Megan LaffertyPortland VA Medical Center.
Alex FauerUniversity of California, Los Angeles.ORCID 0000-0001-7811-1593
Nathan WrightUniversity of Michigan.
Milisa ManojlovichUniversity of Michigan.
Christopher R FrieseUniversity of Michigan School of Nursing and University of Michigan Rogel Cancer Center.ORCID 0000-0002-2281-2056

Funding

Communication Processes, Technology, and Patient Safety in Ambulatory Oncology SettingsR01HS024914 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FRIESE, CHRISTOPHER R · 2016 to 2018
$1.4M
AHRQ HHS R01 HS024914
6 · The paper itself

Abstract

purposeIn oncology, chemotherapy treatment delays potentially jeopardize patient safety and impede progress toward disease remission. The purpose of this study was to examine the causes and consequences of chemotherapy treatment delays and possible solutions to improve quality of care. PARTICIPANTS &

settingThe current authors selected a purposive sample of eight ambulatory oncology practices for ethnographic site visits, which lasted five days each. METHODOLOGIC APPROACH: The authors conducted 290 observation hours, including clinician shadowing, and 46 semistructured interviews with clinicians (oncology nurses, physicians, and advanced practice providers). Deductive and inductive thematic analysis was performed on all data.

findingsThe authors identified four primary themes from the analysis that affect delays. IMPLICATIONS FOR NURSING: Future investigations should examine nurses' communication practices in the context of timely chemotherapy administration because communication and documentation technologies within healthcare settings continuously evolve.

Indexed as

AdultAgedAged, 80 and overAmbulatory Care FacilitiesDrug TherapyFemaleHumansMaleMiddle AgedNeoplasmsOncology NursingQualitative ResearchQuality of Health CareTime-to-TreatmentUnited Statesambulatory oncologychemotherapyclinician communicationquality of health care

Identifiers

PMID32555555
PMCPMC7310592

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.