Evidence map›Paper›PMID 41344879›Full record

ArticleJMIR aging2025

Implementation of an Electronic Medication Management System in 41 Residential Care Homes in Hong Kong: Pre-Post Interventional Study.

Phillip Lung Wai Au-Doung, Ho Cheung Chau, Chit Hin Wong, Kai Cheong Lau, Yi Qi Chan, Ho Lam Yip, Chiu Ngai Hung, Bik-Wai Bilvick Tai, Teddy Tai-Ning Lam, Chui Ping Lee and 2 more

Abstract read
In one paragraph

Article in JMIR aging, 2025. 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

12 authors.

Phillip Lung Wai Au-DoungSchool of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Lo Kwee-Seong Integrated Biomedical Sciences Building, Hong Kong, China (Hong Kong), 852 39346833.ORCID http://orcid.org/0009-0001-3951-9745
Ho Cheung ChauHong Kong Pharmaceutical Care Foundation Limited, Hong Kong, China (Hong Kong).ORCID http://orcid.org/0009-0003-5760-2790
Chit Hin WongSchool of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Lo Kwee-Seong Integrated Biomedical Sciences Building, Hong Kong, China (Hong Kong), 852 39346833.ORCID http://orcid.org/0009-0008-3199-4294
Kai Cheong LauHong Kong Pharmaceutical Care Foundation Limited, Hong Kong, China (Hong Kong).ORCID http://orcid.org/0009-0003-8106-4371
Yi Qi ChanHong Kong Pharmaceutical Care Foundation Limited, Hong Kong, China (Hong Kong).ORCID http://orcid.org/0009-0001-9592-5158
Ho Lam YipHong Kong Pharmaceutical Care Foundation Limited, Hong Kong, China (Hong Kong).ORCID http://orcid.org/0009-0008-4410-8837
Chiu Ngai HungHong Kong Pharmaceutical Care Foundation Limited, Hong Kong, China (Hong Kong).ORCID http://orcid.org/0009-0008-8887-009X
Bik-Wai Bilvick TaiSchool of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Lo Kwee-Seong Integrated Biomedical Sciences Building, Hong Kong, China (Hong Kong), 852 39346833.ORCID http://orcid.org/0000-0002-4017-334X
Teddy Tai-Ning LamSchool of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Lo Kwee-Seong Integrated Biomedical Sciences Building, Hong Kong, China (Hong Kong), 852 39346833.ORCID http://orcid.org/0000-0002-7259-4050
Chui Ping LeeSchool of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Lo Kwee-Seong Integrated Biomedical Sciences Building, Hong Kong, China (Hong Kong), 852 39346833.ORCID http://orcid.org/0000-0003-3519-9331
Sau Chu Chiang *Hong Kong Pharmaceutical Care Foundation Limited, Hong Kong, China (Hong Kong).ORCID http://orcid.org/0000-0003-4716-6967
Yin Ting Cheung *School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Lo Kwee-Seong Integrated Biomedical Sciences Building, Hong Kong, China (Hong Kong), 852 39346833.ORCID http://orcid.org/0000-0001-9874-8938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The medication management process in resident care homes for the elderly (RCHEs) is complex and can be labor intensive. In 2019, a nongovernment organization led by pharmacists with special interest in informatics developed the SafeMed Medication Management System (SMMS), which is a digital web-based system that integrates electronic medical profiles and medication profiles to revamp the traditional manual medication management process in RCHEs in Hong Kong. Objective: This study aimed to assess the effectiveness of the SMMS in improving RCHE staff's time efficiency and competencies in the medication management process and how this could potentially reduce human resource costs after its implementation. Methods: This was a pre-post interventional study conducted from September 2022 to August 2024. Time efficiency was evaluated using time-motion analysis. The time spent on each process-preparing the medication doses, checking the prepared doses, and administering the doses to residents-was evaluated in 10-minute blocks. The mean numbers of doses prepared, checked, and administered were calculated for each block. A three-way ANOVA was used to compare the doses before and after the system implementation. Staff competencies and perceived acceptance of the system were evaluated using a structured survey adapted from the technology acceptance model. An exploratory analysis was conducted to estimate the potential financial savings attributable to SMMS implementation using RCHE staff salary data obtained from publicly available governmental sources. Results from the time-motion analysis were used to estimate the cost per dose prepared by RCHE staff before and after the system implementation. Results: Forty-one RCHEs implemented the SMMS, serving a total of 3911 residents. The time-motion analysis (n=6 RCHEs) revealed that the mean (SD) number of doses significantly increased in 10-minute blocks after system implementation (medication preparation: 25, SD 14 to 49, SD 15 doses; medication checking: 21, SD 6 to 85, SD 33 doses; medication administration: 9, SD 1 to 16, SD 6 doses). The overall mean number of doses handled across all processes combined was significantly higher after implementation (18.9 vs 51.9 doses, P=.02). RCHE staff (n=392) reported significantly improved competencies in entering and accessing residents' records and preparing, checking, and administering medications after the system implementation (all P<.001). The estimated cost of managing one dose of medication dropped substantially from HKD 2.00 (US $0.25) before to HKD 0.74 (US $0.09) after system implementation. If fully implemented in all RCHEs across Hong Kong, the daily human resource cost associated with the medication management process could potentially be reduced from HKD 2,574,000 (US $330,000) to HKD 952,380 (US $122,100). Conclusions: The time-motion analysis and quantitative survey findings suggest that digital technology combined with automation can improve staff's time efficiency and competencies and promote human resource cost-saving in the medication management process. Future work should evaluate the long-term impact of this system on medication safety and its cost-effectiveness in RCHEs.

Indexed as

Homes for the AgedMedication Therapy ManagementNursing HomesAgedFemaleHong KongHumansMalecost savingelectronic medication recordsmedication managementnursing homesolder adultsresidential care homestime motion study

Identifiers

PMID41344879
PMCPMC12677979

What Socratic holds

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LicenceCC BY
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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 Socratic graph.