Evidence map›Paper›PMID 28552830›Full record

Trial reportJournal of pain and symptom management2017

Understanding Response Rates to Surveys About Family Members' Psychological Symptoms After Patients' Critical Illness.

Ann C Long, Lois Downey, Ruth A Engelberg, Elizabeth Nielsen, Paul Ciechanowski, J Randall Curtis

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of pain and symptom management, 2017. 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
1.2field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ann C LongDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence, University of Washington, Seattle, Washington, USA. Electronic address: along11@uw.edu.
Lois DowneyDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence, University of Washington, Seattle, Washington, USA.
Ruth A EngelbergDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence, University of Washington, Seattle, Washington, USA.
Elizabeth NielsenDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence, University of Washington, Seattle, Washington, USA.
Paul CiechanowskiDepartment of Psychiatry, University of Washington, Seattle, Washington, USA.
J Randall CurtisDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence, University of Washington, Seattle, Washington, USA.
University of Washington · USHarborview Medical Center · US

Funding

Randomized trial of an interdisciplinary communication intervention to improve paR01NR005226 · NINR · UNIVERSITY OF WASHINGTON · PI CURTIS, J RANDALL, ENGELBERG, RUTH ANN · 1999 to 2012
$6.7M
NINR NIH HHS R01 NR005226
6 · The paper itself

Abstract

contextAchieving adequate response rates from family members of critically ill patients can be challenging, especially when assessing psychological symptoms.

objectivesTo identify factors associated with completion of surveys about psychological symptoms among family members of critically ill patients.

methodsUsing data from a randomized trial of an intervention to improve communication between clinicians and families of critically ill patients, we examined patient-level and family-level predictors of the return of usable surveys at baseline, three months, and six months (n = 181, 171, and 155, respectively). Family-level predictors included baseline symptoms of psychological distress, decisional independence preference, and attachment style. We hypothesized that family with fewer symptoms of psychological distress, a preference for less decisional independence, and secure attachment style would be more likely to return questionnaires.

resultsWe identified several predictors of the return of usable questionnaires. Better self-assessed family member health status was associated with a higher likelihood and stronger agreement with a support-seeking attachment style with a lower likelihood, of obtaining usable baseline surveys. At three months, family-level predictors of return of usable surveys included having usable baseline surveys, status as the patient's legal next of kin, and stronger agreement with a secure attachment style. The only predictor of receipt of surveys at six months was the presence of usable surveys at three months.

conclusionWe identified several predictors of the receipt of surveys assessing psychological symptoms in family of critically ill patients, including family member health status and attachment style. Using these characteristics to inform follow-up mailings and reminders may enhance response rates.

Indexed as

Critical IllnessSurveys and QuestionnairesDecision MakingFamilyFemaleHealth CommunicationHealth StatusHumansMaleMiddle AgedObject AttachmentPatient ParticipationPhysician-Patient RelationsStress, PsychologicalTime Factorscritical illnessfamily centeredfamily membernonresponse biaspsychological distressResponse rate

Identifiers

PMID28552830
PMCPMC5523827
OpenAlexW2618723463

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.