Evidence map›Paper›PMID 36582325›Full record

ArticleFrontiers in psychology2022

Applying Apriori algorithm to explore long-term care services usage status-Variables based on the combination of patients with dementia and their caregivers.

Yen-Jen Chen, Kai-Ming Jhang, Wen-Fu Wang, Guan-Cheng Lin, Shao-Wei Yen, Hsin-Hung Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Yen-Jen ChenDepartment of Psychiatry, Changhua Christian Hospital, Changhua, Taiwan.
Kai-Ming JhangDepartment of Neurology, Changhua Christian Hospital, Changhua, Taiwan.
Wen-Fu WangDepartment of Neurology, Changhua Christian Hospital, Changhua, Taiwan.
Guan-Cheng LinDepartment of Business Administration, National Changhua University of Education, Changhua, Taiwan.
Shao-Wei YenDepartment of Information Management, National Changhua University of Education, Changhua, Taiwan.
Hsin-Hung WuDepartment of Business Administration, National Changhua University of Education, Changhua, Taiwan.
Changhua Christian Hospital · TWNational Changhua University of Education · TWMingDao University · TWState University of Malang · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage. Patients and methods: A cross-sectional study was conducted with 475 patients with mild, moderate, and severe dementia at Changhua Christian Hospital, Taiwan. Eleven types of variables from patients with dementia, nine types of variables from patients' caregivers, and 15 types of LTC services were used for this study. The Apriori algorithm was employed to identify the attributes from the patients and their caregivers who used a particular LTC service from a comprehensive viewpoint. Results: A total of 75 rules were generated by the Apriori algorithm with support of 2%, confidence of 80%, and lift >1. Among these rules, 25 rules belonged to home personal care services which were summarized further into four general rules for home personal care services. On the other hand, 50 rules belonged to assistive devices that were summarized further into 21 general rules based on their similarities. Patient's walking ability, patient's emotional liability, unemployed or retired caregivers, caregivers' feelings with either helplessness or hopelessness, and caregivers who cared for patients with dementia solely were found to be the critical variables to use home personal care services. In contrast, patient's walking ability, age, and severity as well as caregivers' age, mood, marital status, caregiving burden, and the patient being cared for mainly by a foreign care helper were found to be the critical variables to use assistive devices. Conclusion: This study showed preliminary results on the LTC service usage from patients with dementia and their caregivers residing in the community. Understanding the patient-caregiver dyad's profile leads the service providers, policymakers, and the referral team to tailor service provisions better to meet the needs and identify the potential target groups. The findings in this study serve as references to reduce caregivers' burden as well as to improve the quality of care for patients with dementia.

Indexed as

Apriori algorithmassistive devicescaregivershome personal care serviceslong-term care servicespatient–caregiver dyadpatients with dementia

Identifiers

PMID36582325
PMCPMC9792981
OpenAlexW4312138080

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.