Evidence map›Paper›PMID 39548521›Full record

ArticleBMC health services research2024

A new normal in primary care: the rapid normalization of a major eHealth program in public health centers.

Karl Maack, Nanna Gillberg, Ewa Wikström

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Karl MaackInstitute of Medicine, University of Gothenburg, Gothenburg, Sweden. karl.maack@gu.se.
Nanna GillbergDepartment of Business Administration, University of Gothenburg, Gothenburg, Sweden.
Ewa WikströmDepartment of Business Administration, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to contribute to a better understanding of the context, mechanisms and outcomes in the implementation process of an eHealth video consultation program in primary care. The study focused on how the program is normalized in the primary care setting. The primary research question for this study is "in what ways is the implementation of video consultation normalized in primary care?".

methodsThe qualitative design and content analysis of primary data from the transcripts were based on in-depth interviews, complemented with free-text answers to open-ended survey questions and various documents. The study focuses on the large-scale implementation of the public eHealth program Närhälsan Online, which represents more than 100 health centers in Sweden's largest region of Västra Götaland. Multiagent perspectives on how the program is normalized were drawn from expressed perceptions by professions directly linked to both strategic and functional implementation, as well as administration and clinical operation.

resultsThis study both confirms and enhances the field with a theoretical contribution in six ways to the reviewed previous research, as well as showing practical implications. It also provides multi-agent perspectives on the rapid normalization of the implementation program studied.

conclusionsIn relation to the rapid progression of different initiatives in eHealth, this study contributes to perspectives on specific challenges as expressed by professions directly linked to both strategic and functional implementation as well as administration and clinical operation.

Indexed as

Primary Health CareQualitative ResearchTelemedicineHumansInterviews as TopicProgram EvaluationSwedenImplementation; eHealth; Telemedicine; Primary care

Identifiers

PMID39548521
PMCPMC11566830

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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.