Evidence map›Paper›PMID 36259469›Full record

ArticleAnnals of medicine2022

Factors influencing patient delay in individuals with obstructive sleep apnoea: a study based on an integrated model.

Hui Zhang, Chunguang Liang, Xin Zhang, Haitao Yu, Xiangru Yan, Liying Wang, Tong Tong, Huiying Zhang, Hongliang Dai, Huijuan Tong

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2022. 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
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

10 authors at 4 institutions in 1 country.

Hui ZhangSchool of Nursing, Jinzhou Medical University, Jinzhou, PR China.ORCID 0000-0002-7801-6489
Chunguang LiangSchool of Nursing, Jinzhou Medical University, Jinzhou, PR China.ORCID 0000-0002-8604-4439
Xin ZhangDepartment of Respiratory Medicine, Zibo Central Hospital, Zibo, PR China.
Haitao YuSchool of Nursing, Jinzhou Medical University, Jinzhou, PR China.
Xiangru YanSchool of Nursing, Jinzhou Medical University, Jinzhou, PR China.
Liying WangSchool of Nursing, Jinzhou Medical University, Jinzhou, PR China.
Tong TongSchool of Nursing, Jinzhou Medical University, Jinzhou, PR China.
Huiying ZhangDepartment of Otolaryngology Head & Neck Surgery, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, PR China.
Hongliang DaiSchool of Nursing, Jinzhou Medical University, Jinzhou, PR China.ORCID 0000-0003-4093-8194
Huijuan TongDepartment of Nursing, Shenyang Medical College, Shenyang, PR China.
Jinzhou Medical University · CNFirst Affiliated Hospital of Liaoning Medical University · CNCentral Hospital of Zibo · CNShenyang Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnoea (OSA) is the most common sleep-related breathing disorder, yet it remains undiagnosed in a large proportion of adults.

objectiveThis study aims to investigate the status of patient delay and provider delay in OSA patients and examine related factors affecting patient delay in OSA individuals in China.

methodsA cross-sectional design was conducted on a sample of 309 OSA patients (aged from 18 to 76, median age of 47 years, 84.8% male) in Northeast China. Participants were required to complete the sociodemographic questionnaire, the symptom characteristics questionnaire, the help-seeking attitude scale (HSAS), the social support rating scale and the chronic disease self-efficacy scales (CDSES) to test the hypothesis. Binary logistic regression analysis was conducted to explore factors that account for the patient delay.

resultsThe median patient delay among OAS patients in this study was 22 months, the median provider delay was one month, and the median total delay was 26 months. As shown by multivariate analysis results, patients who have snored for over 6 years (OR = 3.377, 95%CI: 1.175-9.702) were more likely to experience prolonged patient delays. Per capita monthly family income above 3000 RMB (OR = 0.172, 95%CI: 0.052-0.571), taking up residence in cities or towns (OR = 0.484, 95%CI: 0.248-0.946), higher self-recognition of the disease (OR = 0.793, 95%CI: 0.647-0.972), higher objective support (OR = 0.825, 95%CI: 0.739-0.921) and stronger self-efficacy (OR = 0.674, 95%CI: 0.525-0.867) were significantly associated with shorter patient delays.

conclusionPatient delay is common in Chinese OSA patients. The upstream factors affecting the patient delay in individuals with OSA include income, place of residence, and objective support; midstream factors include self-recognition of the disease and self-efficacy; downstream factors include years of snoring.KEY MESSAGESDespite being a high-prevalence disease, many obstructive sleep apnoea (OSA) patients are not clearly diagnosed and treated.The factors affecting the delay in seeking medical treatment in individuals with OSA included income, place of residence, objective support, self-recognition of the disease, self-efficacy and years of snoring.Investigations into OSA patients' care-seeking behaviours can better reflect the secondary prevention of OSA, and it is crucial to pay attention to the delayed phase of patients.

Indexed as

Sleep Apnea, ObstructiveSnoringAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSurveys and QuestionnairesHealth ecological modelpatient delaysleep disordertheory of planned behaviour

Identifiers

PMID36259469
PMCPMC9586697
OpenAlexW4306779884

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.