Evidence map›Paper›PMID 23448958›Full record

ArticleCancer nursing

Patient and clinician communication of self-reported insomnia during ambulatory cancer care clinic visits.

Mary Lou Siefert, Fangxin Hong, Bianca Valcarce, Donna L Berry

Abstract read
In one paragraph

Article in Cancer nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% of its field
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, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Information visualizations of symptom information for patients and providers: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Sleep quality in lung cancer and specifically non-small-cell lung cancer: a rapid review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Factors associated with sleep disturbances in women undergoing treatment for early-stage breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Sleep disturbance in people with brain tumours and caregivers: a survey of healthcare professionals' views and current practice.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  16. Observational
  17. Article
  18. Associations of sleep disturbance with physical function and cognition in older adults with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    Article
  19. Article
  20. Incorporating measures of sleep quality into cancer studies.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2015
    Review
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 at 1 institution in 1 country.

Mary Lou SiefertAuthor Affiliations: Phyllis F. Cantor Center for Research in Nursing and Patient Care Services (Drs Siefert and Berry and Ms Valcarce) and Department of Biostatistics and Computational Biology (Dr Hong), Dana Farber Cancer Institute, Boston, Massachusetts.
Fangxin Hong
Bianca Valcarce
Donna L Berry
Dana-Farber Cancer Institute · US

Funding

Computerized Assessment for Patients with Cancer: ESRA-C IIR01NR008726 · NINR · UNIVERSITY OF WASHINGTON · PI BERRY, DONNA L. · 2004 to 2009
$3.4M
NINR NIH HHS R01 NR008726
6 · The paper itself

Abstract

backgroundInsomnia, the most commonly reported sleep-wake disturbance in people with cancer, has an adverse effect on quality of life including emotional well-being, distress associated with other symptoms, daily functioning, relationships, and ability to work.

objectiveThe aim of this study was to describe the content of discussions between clinicians and 120 patients with self-reported insomnia and to examine the associations of sociodemographic, clinical, and environmental factors with insomnia.

methodsA secondary analysis was conducted with self-reported symptom data and sociodemographic, clinical, and environmental factors. Recordings of clinician and patient discussions during clinic visits were examined by conducting a content analysis.

resultsSevere insomnia was more likely to be reported by women, minority, and lower-income individuals. Seven major topics were identified in the discussions. The clinicians did not always discuss insomnia; discussion rates differed by diagnosis and clinical service.

conclusionsReporting of insomnia by the patient and clinician communication about insomnia may have differed by demographic and clinical characteristics. Clinicians attended to insomnia about half the time with management strategies likely to be effective. Explanations may be that insomnia had a low clinician priority for the clinic visit or lack of clear evidence to support insomnia interventions. IMPLICATIONS FOR PRACTICE: A better understanding is needed about why insomnia is not addressed even when reported by patients; it is well known that structured assessments and early interventions can improve quality of life. Research is warranted to better understand potential disparities in cancer care.

Indexed as

Ambulatory CareSelf ReportAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasmsQuality of LifeSleep Initiation and Maintenance Disorders

Identifiers

PMID23448958
PMCPMC3696527
OpenAlexW2076199069

What OpenQuestion holds

Textmetadata
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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.