Evidence map›Paper›PMID 26913243›Full record

ArticleJournal of diabetes and metabolic disorders2015

Association of more negative attitude towards commencing insulin with lower glycosylated hemoglobin (HbA1c) level: a survey on insulin-naïve type 2 diabetes mellitus Chinese patients.

Sau Nga Fu, Carlos King Ho Wong, Weng Yee Chin, Wan Luk

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. A Ten-Year Longitudinal Study of Prevalence of Eating Disorders in the General Polish Type 2 Diabetes Population.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  8. Review
  9. Fear of Self-Injecting and Self-Testing and the Related Risk Factors in Adolescents with Type 1 Diabetes: A Cross-Sectional Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2017
    Article
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

4 authors.

Sau Nga FuDepartment of Family Medicine and Primary Health Care, Kowloon West Cluster, Hospital Authority, G/F, Ha Kwai Chung General Outpatient Clinic, 77 Lai Cho Road, Kwai Chung, Kowloon, Hong Kong S.A.R., China.ORCID 0000-0002-6491-654X
Carlos King Ho WongDepartment of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F., 161 Main Street, Ap Lei Chau Clinic, Ap Lei Chau, Hong Kong S.A.R., China.
Weng Yee ChinDepartment of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F., 161 Main Street, Ap Lei Chau Clinic, Ap Lei Chau, Hong Kong S.A.R., China.
Wan LukDepartment of Family Medicine and Primary Health Care, Kowloon West Cluster, Hospital Authority, G/F, Ha Kwai Chung General Outpatient Clinic, 77 Lai Cho Road, Kwai Chung, Kowloon, Hong Kong S.A.R., China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelay in commencing insulin among type 2 Diabetes Mellitus (DM) patients is common.  One of the reasons is patients' psychological insulin resistance, which is particularly prevalent in Chinese patients. This study examined the correlation between socio-demographic and clinical characteristics; and attitudes towards commencing insulin in Chinese primary care patients.

methodA cross-sectional survey was conducted on 303 insulin-naïve Type 2 DM patients recruited from 15 primary care clinics across Hong Kong using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ). Subject selection criteria were patients on maximal oral anti-diabetes treatment who needed to commence insulin therapy. Linear regression was used to identify correlations between age, sex, educational level, occupation, body mass index, diabetes disease duration, laboratory test indicating disease control and biochemical markers including glycosylated hemoglobin (HbA1c) level, low density lipoprotein level and estimated glomeruli filtration rate, and presence of diabetic complications with the four sub-scales (self-image and stigmatization; factors promoting self-efficacy; fear of pain or needles; time and family support ) and the overall Ch-ASIQ score.

resultsThe most prevalent negative attitude was 'fear of needle injections' (70.1 %). The most common positive attitude was 'I can manage the skill of injecting insulin' (67.5 %). The mean Ch-ASIQ score of 2.50 (S.D. = 0.38) was equal to the mid-score, which signified an overall ambivalent attitude among the study population. Women scored significantly higher in the fear of pain or needles subscale (p = 0.011) and had an overall more negative attitude towards commencing insulin (p = 0.016). Subjects with lower HbA1c levels also had a significantly lower Ch-ASIQ sum score (p = 0.048) indicating a more negative attitude towards commencing insulin.

conclusionIn Chinese primary care patients with Type 2 DM, the need to commence insulin was associated with a number of negative emotions, which lead to a lower motivation to accept treatment. Perception of need as indicated by HbA1c level may be an important influencing factor determining a patient's overall attitude towards starting insulin. Fortunately, in our setting, the injection technique does not appear to be a major barrier. However, needle fears are common, especially amongst women. Target interventions to acknowledge and help them to overcome their fears are essential before insulin treatment is commenced.

Indexed as

AttitudeFearInsulinPrimary careQuestionnaires

Identifiers

PMID26913243
PMCPMC4765059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.