Evidence mapPaperPMID 38645700Full record

ArticlePatient preference and adherence2024

Latent Profile Analysis of Medication Beliefs in Patients with Type 2 Diabetes in the Hospital-Home Transition and Comparison with Medication Adherence.

Sifen Jiang, Tingyu Luo, Zhuoqi Zhu, Yanling Huang, Haopeng Liu, Bing Li, Suibin Feng, Kun Zeng

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Article in Patient preference and adherence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

5 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

8 authors at 4 institutions in 1 country.

Sifen Jiang *Science and Education Section, Dongguan Eighth People's Hospital (Dongguan Children's Hospital), Dongguan, People's Republic of China.ORCID 0009-0001-3586-9326
Tingyu Luo *School of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Zhuoqi Zhu *School of Public Health, Guangxi Medical University, Guangxi, People's Republic of China.ORCID 0009-0003-6367-1821
Yanling HuangSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.ORCID 0009-0005-0874-6231
Haopeng LiuSchool of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Bing LiSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Suibin FengSurgery Department, Dongguan Eighth People's Hospital (Dongguan Children's Hospital), Dongguan, People's Republic of China.
Kun ZengScience and Education Section, Dongguan Eighth People's Hospital (Dongguan Children's Hospital), Dongguan, People's Republic of China.ORCID 0009-0008-8164-919X
Guangdong Pharmaceutical University · CNDongguan People’s Hospital · CNGuangxi Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The treatment of Type 2 Diabetes Mellitus (T2DM) is a protracted and arduous process. Medication, being a universally crucial therapeutic measure, underscores the significance of medication adherence in managing the disease effectively. Medication beliefs have emerged as a significant predictor of adherence, attracting considerable scholarly attention in recent years. However, there remains a paucity of research utilizing individual-centered approaches to explore medication beliefs among the T2DM population during the hospital-home transition, leaving the relationship between these beliefs and medication adherence unclear. Purpose: To investigate latent categories of medication beliefs among patients with T2DM during the transition from hospital to home, and to analyze variations in medication adherence across these categories of patients. Patients and methods: Between August 2022 and September 2023, this study selected 304 patients with a pre-discharge diagnosis of T2DM as study subjects from a tertiary hospital in Dongguan City. The patients' profiles were assessed comprehensively via the Sociodemographic and Clinical Characteristics Questionnaire, alongside the Chinese version of Beliefs about Medicines Questionnaire-Specific and Morisky Medication Adherence Scale-8. The present study conducted latent profile analysis using Mplus 7.4 software and analyzed the influencing factors of different medication belief categories and their differences in medication adherence using SPSS 26.0 software. Results: The medication beliefs of 304 patients were rated at 3.36±5.24 points, while medication adherence scored 6.23±1.56 points. The medication beliefs were classified into four categories: moderate necessity - low to moderate concern group (40.13%), high necessity - low concern group (9.54%), moderate necessity - moderate to high concern group (19.08%), and moderate necessity - high concern group (31.25%). Age, monthly per capita household income, and place of residence emerged as influential factors for the four categories. Moreover, the disparity in medication adherence among these categories demonstrated statistical significance ( Conclusion: The medication beliefs of patients were classified into four distinct categories, and variations in medication adherence were evident across these categories. The high necessity - low concern group demonstrated the highest medication adherence scores, while the moderate necessity - high concern group exhibited the lowest scores. Healthcare providers are advised to tailor personalized medication belief enhancement programs based on patients' homogeneous beliefs, addressing specific issues encountered by each category. This approach aims to ensure optimal medication adherence across diverse medical and social environments, effectively improving patient prognosis and enhancing quality of life.

Indexed as

diabetes mellitusinfluencing factorslatent profile analysismedication adherencemedication beliefsT2DM

Identifiers

PMID38645700
PMCPMC11032132
OpenAlexW4394858554

What Socratic holds

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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 Socratic graph.