Evidence map›Paper›PMID 29075106›Full record

ArticlePatient preference and adherence2017

Treatment adherence and disease burden of individuals with rheumatic diseases admitted as outpatients to a large rheumatology center in Shanghai, China.

Le Zhang, Guo Hong Lu, Shuang Ye, Bin Wu, Yi Shen, Ting Li

Abstract read
In one paragraph

Article in Patient preference and adherence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

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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

16 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Le ZhangDepartment of Pharmacy, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Guo Hong LuDepartment of Pharmacy, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Shuang YeDepartment of Rheumatology, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Bin WuDepartment of Pharmacy, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yi ShenDepartment of Mathematics, Applied Statistics, Shanghai Jiaotong University, Shanghai, China.
Ting LiDepartment of Rheumatology, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to determine treatment adherence and disease burden, analyze detailed medication problems experienced by patients, and identify factors associated with adherence in patients with rheumatic diseases in China. PATIENTS AND

methodsPatients with confirmed diagnoses of ankylosing spondylitis (AS), rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE) were recruited, regardless of demographics, disease severity, and treatment characteristics. Adherence was assessed using the Compliance Questionnaire for Rheumatology and interview-based self-reports. A backwards-stepwise multivariate regression analysis was used to identify factors associated with adherence.

resultsWe collected data on 252 patients who had a rheumatic disease and visited our outpatient clinic in January or February of 2017. There were 121 patients with SLE, 70 with RA, and 61 with AS. The overall adherence rate was 41.7%, with 48.7% for SLE patients, 38.6% for RA patients, and 31.1% for AS patients. The overall EuroQol (EQ)-index was 0.761; AS patients had the best EQ-index (0.792), followed by those with SLE (0.780) and RA (0.700). SLE patients also had greater annual direct costs (US$5,103.58) than RA or AS patients.

conclusionOverall, 41.7% of our rheumatic disease patients were adherent to treatment, lower than in many other parts of the world. This indicates that it is important to identify methods that improve adherence in this population. It is particularly important to improve the health status and reduce the disease burden of patients with SLE, the most common of the three rheumatic diseases we analyzed. Our results suggest that reminder tools may improve adherence. Further prospective research is needed to confirm whether reminder tools and other measures can improve patient compliance.

Indexed as

adherencedisease burdenEQ-5Drheumatic diseaseSLE

Identifiers

PMID29075106
PMCPMC5609799

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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.