Evidence map›Paper›PMID 36336831›Full record

ArticleNursing open2023

Home care professionals' experiences of successful implementation, use and competence needs of robot for medication management in Finland.

Riitta Turjamaa, Mojtaba Vaismoradi, Satu Kajander-Unkuri, Mari Kangasniemi

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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 at 3 institutions in 2 countries.

Riitta TurjamaaUnit of Continuous Learning, Savonia University of Applied Sciences, Kuopio, Finland.ORCID 0000-0003-2053-3237
Mojtaba VaismoradiFaculty of Nursing and Health Sciences, Nord University, Bodø, Norway.ORCID 0000-0002-5157-4886
Satu Kajander-UnkuriDepartment of Nursing Science, University of Turku, Turku, Finland.ORCID 0000-0003-2668-5856
Mari KangasniemiDepartment of Nursing Science, Faculty of Medicine, University of Turku, Turku, Finland.ORCID 0000-0003-0690-1865
University of Turku · FINord University · NOSavonia University of Applied Sciences · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo describe home care professionals' individual experiences of the implementation, use and competence needs of a robot for medication management in older people's home care.

designA qualitative focus group interview study.

methodsData were collected during spring and autumn 2021 by semi-structured focus group interviews and analysed using inductive content analysis. The participants were 62 home care professionals working in older people's home care.

resultsThe successful implementation and use of the robot for medication management consisted of a timely and adequate introduction before the implementation of the robot, the fluent usability of the robot in daily work, and confidence in work competence. There is a need for the reorganization of home care professionals' use of digital solutions to make workflow fluent, prevent burnout and turnover among home care professionals. Professionals' competence should also be developed to ensure that it corresponds to digitalized healthcare. PATIENT AND PUBLIC CONTRIBUTIONS: No patient or public contribution.

Indexed as

Home Care ServicesRoboticsAgedFinlandHumansMedication Therapy ManagementQualitative Researchcompetence, home care professionalmedication management, robotolder people's home carequalitative research

Identifiers

PMID36336831
PMCPMC10006617
OpenAlexW4308367308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.