Literature DB >> 36259469

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

Hui Zhang1, Chunguang Liang1, Xin Zhang2, Haitao Yu1, Xiangru Yan1, Liying Wang1, Tong Tong1, Huiying Zhang3, Hongliang Dai1, Huijuan Tong4.   

Abstract

BACKGROUND: Obstructive sleep apnoea (OSA) is the most common sleep-related breathing disorder, yet it remains undiagnosed in a large proportion of adults.
OBJECTIVE: This 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.
METHODS: A 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.
RESULTS: The 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.
CONCLUSION: Patient 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.

Entities:  

Keywords:  Health ecological model; patient delay; sleep disorder; theory of planned behaviour

Mesh:

Year:  2022        PMID: 36259469      PMCID: PMC9586697          DOI: 10.1080/07853890.2022.2132417

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   5.348


  56 in total

Review 1.  The model of pathways to treatment: conceptualization and integration with existing theory.

Authors:  S E Scott; F M Walter; A Webster; S Sutton; J Emery
Journal:  Br J Health Psychol       Date:  2012-04-27

2.  The theory of planned behaviour: reactions and reflections.

Authors:  Icek Ajzen
Journal:  Psychol Health       Date:  2011-09

3.  Cost-effectiveness of continuous positive airway pressure therapy for obstructive sleep apnea: health care system and societal perspectives.

Authors:  Jared Streatfeild; David Hillman; Robert Adams; Scott Mitchell; Lynne Pezzullo
Journal:  Sleep       Date:  2019-12-24       Impact factor: 5.849

4.  Comorbidities and risk of mortality in patients with sleep apnea.

Authors:  Chi-Lu Chiang; Yung-Tai Chen; Kang-Ling Wang; Vincent Yi-Fong Su; Li-An Wu; Diahn-Warng Perng; Shi-Chuan Chang; Yuh-Min Chen; Tzeng-Ji Chen; Kun-Ta Chou
Journal:  Ann Med       Date:  2017-02-10       Impact factor: 4.709

5.  Coping Processes, Self-Efficacy, and CPAP Use in Adults With Obstructive Sleep Apnea.

Authors:  Bruno Saconi; Hyunju Yang; Alexa J Watach; Amy M Sawyer
Journal:  Behav Sleep Med       Date:  2018-11-26       Impact factor: 2.964

6.  Sleep health management in community pharmacy: Where are we and where should we be heading?

Authors:  Mariam M Basheti; Christopher Gordon; Zeeta Bawa; Ron Grunstein; Bandana Saini
Journal:  Res Social Adm Pharm       Date:  2021-02-14

7.  The reliability and validity of the Chinese version of the Short-form Chronic Disease Self-Efficacy Scales for older adults.

Authors:  Susan Ka Yee Chow; Frances Ky Wong
Journal:  J Clin Nurs       Date:  2013-07-02       Impact factor: 3.036

8.  College Students and Eating Habits: A Study Using An Ecological Model for Healthy Behavior.

Authors:  Giovanni Sogari; Catalina Velez-Argumedo; Miguel I Gómez; Cristina Mora
Journal:  Nutrients       Date:  2018-11-23       Impact factor: 5.717

Review 9.  Obstructive Sleep Apnea and Cardiovascular Disease: A Scientific Statement From the American Heart Association.

Authors:  Yerem Yeghiazarians; Hani Jneid; Jeremy R Tietjens; Susan Redline; Devin L Brown; Nabil El-Sherif; Reena Mehra; Biykem Bozkurt; Chiadi Ericson Ndumele; Virend K Somers
Journal:  Circulation       Date:  2021-06-21       Impact factor: 29.690

10.  Factors Associated with Smoking Behaviors in Out-of-School Youth: Based on an Ecological Model.

Authors:  Hye-Young Song; Sook-Ja Yang
Journal:  Int J Environ Res Public Health       Date:  2021-06-12       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.