Evidence map›Paper›PMID 35832602›Full record

ArticleGlobal qualitative nursing research

Developing a Feasible and Credible Method for Analyzing Healthcare Documents as Written Data.

Tanja Moilanen, Mari Sivonen, Kirsi Hipp, Hanna Kallio, Oili Papinaho, Minna Stolt, Riitta Turjamaa, Arja Häggman-Laitila, Mari Kangasniemi

Abstract read
In one paragraph

Article in Global qualitative nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

9 authors.

Tanja MoilanenUniversity of Turku, Finland.
Mari SivonenKarelia University of Applied Sciences, Joensuu, Finland.
Kirsi HippHäme University of Applied Sciences, Finland.
Hanna KallioUniversity of Turku, Finland.
Oili PapinahoUniversity of Turku, Finland.ORCID https://orcid.org/0000-0002-5133-2801
Minna StoltUniversity of Turku, Finland.
Riitta TurjamaaSavonia University of Applied Sciences, Kuopio, Finland.
Arja Häggman-LaitilaUniversity of Eastern Finland, Kuopio, Finland.
Mari KangasniemiUniversity of Turku, Finland.ORCID https://orcid.org/0000-0003-0690-1865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare provides a rich, and constantly increasing, number of written documents, which are underutilized in research data for health and nursing sciences, but previous literature has only provided limited guidance on the process of document analysis. The aim of this paper is to provide a methodological framework for analyzing health care documents as written data, based on a systematic methodological review and the research team's experience of the method. Based on the results, the methods consist of seven phases: (i) identify the purpose, (ii) determine the document selection strategy, (iii) select or design an extraction matrix, (iv) carry out pilot testing, (v) collect and analyze the data, (vi) consider the credibility, and (vii) ethics of the study. The framework that has been developed can be used to carry out document analysis studies that are both feasible and credible.

Indexed as

credibilitydocument analysisfeasibilitymethodologysystematic methodological reviewwritten data

Identifiers

PMID35832602
PMCPMC9272191

What OpenQuestion holds

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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.