Evidence map›Paper›PMID 36607543›Full record

SynthesisAdvances in therapy2023

Measuring Self-management Among People with Diabetes Mellitus: A Systematic Review of Patient-Reported Diabetes-Specific Instruments in English and Chinese.

Tian Jiang, Aihua Li, Minlu Zhang, Zhou Zhou, Lu Wang, Xiaoqian Zhang, Yi Zhang, Qiu Zhang

Erratum issuedAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

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

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Tian JiangDepartment of endocrinology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, Anhui, China.
Aihua LiSanofi China, 19F, Tower III, Kerry Center 1228 Middle Yan'an Road, Shanghai, China.
Minlu ZhangSanofi China, 19F, Tower III, Kerry Center 1228 Middle Yan'an Road, Shanghai, China.
Zhou ZhouSanofi China, 19F, Tower III, Kerry Center 1228 Middle Yan'an Road, Shanghai, China.
Lu WangSanofi China, 19F, Tower III, Kerry Center 1228 Middle Yan'an Road, Shanghai, China.
Xiaoqian ZhangDepartment of endocrinology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, Anhui, China.
Yi ZhangDepartment of endocrinology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, Anhui, China.
Qiu ZhangDepartment of endocrinology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, Anhui, China. aynfmk@163.com.
Sanofi (China) · CNAnhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEffective behavioral management is critical for people with diabetes to achieve glycemic control. Many instruments have been developed to measure diabetes-specific self-management. This review aimed to retrieve existing self-management-related instruments and identify well-validated instruments suitable for clinical research and practice.

methodsFirst, PubMed, Psych INFO, ERIC, and two Chinese databases (CNKI and Wanfang Data) were searched to identify existing instruments for self-management in diabetes systematically. Second, instruments were screened based on the pre-specified inclusion and exclusion criteria. Third, the psychometric property data of each included instrument were retrieved, and instruments with poor psychometric properties were excluded. Fourth, selected instruments were categorized into four categories: knowledge and health literacy, belief and self-efficacy, self-management behaviors, and composite scales. Finally, recommendations were made according to the application status and quality of the instruments. Instruments in English and Chinese were screened and summarized separately.

resultsA total of 406 instruments (339 English instruments and 67 Chinese instruments) were identified. Forty-three English instruments were included. Five focused on knowledge and literacy, 12 on belief and self-management perception-related constructs, 21 on self-management and behaviors, and 5 on composite measures. We further recommended 19 English scales with relatively good quality and are frequently applied. Twenty-five Chinese instruments were included, but none were recommended because of a lack of sufficient psychometric property data.

conclusionMany English instruments measuring diabetes self-management have been developed and validated. Further research is warranted to validate instruments adapted or developed in the Chinese population.

Indexed as

Diabetes MellitusSelf-ManagementEast Asian PeopleHealth BehaviorHumansPatient Reported Outcome MeasuresPsychometricsReproducibility of ResultsDiabetes mellitusInstrumentsPatient-reported outcomeSelf-managementSystematic review

Identifiers

PMID36607543
OpenAlexW4313648909

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.