Evidence map›Paper›PMID 36406296›Full record

ArticlePEC innovation2022

Direct Observation Methods: a Practical Guide for Health Researchers.

Gemmae M Fix, Bo Kim, Mollie Ruben, Megan B McCullough

Abstract read
In one paragraph

Article in PEC innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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

4 authors.

Gemmae M FixVA Center for Healthcare Organization and Implementation Research, Boston and Bedford, MA, USA.
Bo KimVA Center for Healthcare Organization and Implementation Research, Boston and Bedford, MA, USA.
Mollie RubenDepartment of Psychology, University of Maine, Orono, ME, USA.
Megan B McCulloughVA Center for Healthcare Organization and Implementation Research, Boston and Bedford, MA, USA.

Funding

A Patient-centered Approach to Comorbidity Management in Aging Veterans with HIVIK2HX001783 · VA · EDITH NOURSE ROGERS MEMORIAL VETERANS HOSPITAL · PI FIX, GEMMAE M · 2018 to 2021
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HSRD VA IK2 HX001783
6 · The paper itself

Abstract

objectiveTo provide health research teams with a practical, methodologically rigorous guide on how to conduct direct observation.

methodsSynthesis of authors' observation-based teaching and research experiences in social sciences and health services research.

resultsThis article serves as a guide for making key decisions in studies involving direct observation. Study development begins with determining if observation methods are warranted or feasible. Deciding what and how to observe entails reviewing literature and defining what abstract, theoretically informed concepts look like in practice. Data collection tools help systematically record phenomena of interest. Interdisciplinary teams--that include relevant community members-- increase relevance, rigor and reliability, distribute work, and facilitate scheduling. Piloting systematizes data collection across the team and proactively addresses issues.

conclusionObservation can elucidate phenomena germane to healthcare research questions by adding unique insights. Careful selection and sampling are critical to rigor. Phenomena like taboo behaviors or rare events are difficult to capture. A thoughtful protocol can preempt Institutional Review Board concerns. INNOVATION: This novel guide provides a practical adaptation of traditional approaches to observation to meet contemporary healthcare research teams' needs.

Indexed as

Direct ObservationEthnographyHealth Services ResearchMethodsQualitative Methods

Identifiers

PMID36406296
PMCPMC9670254

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.