Evidence map›Paper›PMID 38042773›Full record

Trial reportBMC health services research2023

Effect of robot for medication management on home care professionals' use of working time in older people's home care: a non-randomized controlled clinical trial.

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

Erratum issued Registry-linked trialOpen access · goldAbstract readControlled Clinical TrialPragmatic Clinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05908604 (The Effect of a Robot in Medication Management for Older People's Home Care), which is not on this map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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.

NCT05908604 nacompletednot on this map

The Effect of a Robot in Medication Management for Older People's Home Care: a Non-randomized Controlled Clinical Trial

TypeinterventionalSponsorSavonia University of Applied SciencesRan2021 to 2021Enrolled110ConditionsUnrecognized ConditionArmsRobot for madication management
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Satu Kajander-UnkuriDepartment of Nursing Science, Faculty of Medicine, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0003-2668-5856
Mojtaba VaismoradiFaculty of Nursing and Health Sciences, Nord University, Bodø, Norway. mojtaba.vaismoradi@nord.no.ORCID http://orcid.org/0000-0002-5157-4886
Jouko KatajistoDepartment of Mathematics and Statistics, University of Turku, Turku, Finland.
Mari KangasniemiDepartment of Nursing Science, Faculty of Medicine, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0003-0690-1865
Riitta TurjamaaSavonia University of Applied Sciences, Kuopio, Finland.ORCID http://orcid.org/0000-0003-2053-3237
University of Turku · FICharles Sturt University · AUSavonia University of Applied Sciences · FI

Funding

The Finnish Work Environment Fund 200500
6 · The paper itself

Abstract

backgroundMedication management has a key role in the daily tasks of home care professionals delivered to older clients in home care. The aim of this study was to examine the effect of using a robot for medication management on home care professionals´ use of working time.

methodsA pragmatic non-randomized controlled clinical trial was conducted. The participants were home care professionals who carried out home care clients' medication management. Home care clients were allocated into intervention groups (IG) and control groups (CG) (n = 64 and 46, respectively) based on whether or not they received the robot. Data were collected using the Working Time Tracking Form prior to and 1 and 2 months after introducing the intervention. The t-test was used to compare the groups at each three timepoints. Analysis of Covariance was used to examine the groups' differences for the total time for medications as the number of visits per day as the covariate.

resultsWith robot use, the total amount of home visits decreased by 89.4% and 92.4% after 1 and 2 months of intervention use, respectively, compared to pre-intervention (p < 0.001). The total working time used for medication management considering the number of visits per day decreased from 54.2 min (95% CI 37.4-44.3) to 34.9 min (31.4-38.3), i.e., by slightly over 19 min (p < 0.001) in the IG group. During the follow-up, the total working time used for medication management considering the number of visits per day remained the same in the CG group.

conclusionUsing a robot for medication management had a notable effect on decreasing the use of working time of home care professionals. For health services, decreased use of working time for medication management means that the time saved can be assigned to services that cannot be replaced otherwise. More digital solutions should be developed based on home care clients' and professionals' needs to meet the challenge of the growing number of older people in need of home care and ensure their safety.

trial registrationClinicalTrials.gov Identifier: NCT05908604 retrospectively registered (18/06/2023).

Indexed as

Home Care ServicesRoboticsAgedHumansMedication Therapy ManagementHome-care professionalMedication managementOlder people’s home carePatient safetyRobotWorking time

Identifiers

PMID38042773
PMCPMC10693699
OpenAlexW4389266173

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.