Influencing Factors of Self-management Ability Among Dry Eye Patients in West China

Overview

Journal Int J Ophthalmol

Specialty Ophthalmology

Date 2024 Sep 19

PMID 39296555

Authors

Jie Ren

Xin Zhang

Ji-Hong Zeng

Yun-Xia Gao

Affiliations

Soon will be listed here.

Abstract

Aim: To investigate the current situation and influencing factors of self-management ability in dry eye patients in west China.

Methods: A total of 265 patients clinically diagnosed with dry eye received a convenience survey questionnaire at West China Hospital of Sichuan University. All participants completed the rating scale of health self-management skill for adults (AHSMSRS), Huaxi Emotional-Distress Index (HEI), e-health literacy scale (e-HEALS) and Brief Illness Perception Questionnaire (Brief-IPQ). A generalized linear model was employed to establish a multivariate linear model with demographic data, psychological state, e-HEALS, and illness perception as independent variables and health self-management skill score as the dependent variable.

Results: The mean score for health self-management skill was 165.58±15.79. Multivariate analysis revealed that advanced age, better illness perception and improved psychological state were associated with better health self-management ability among dry eye patients. Furthermore, the health self-management ability of patients with a disease duration less than 1y was found to be higher compared to those with a disease duration exceeding 1y.

Conclusion: The health self-management ability of dry eye patients in west China is relatively high. Age, duration of disease, illness perception and psychological state are the influencing factors on the health self-management ability of dry eye patients.

References

Norman C, Skinner H . eHealth Literacy: Essential Skills for Consumer Health in a Networked World. J Med Internet Res. 2006; 8(2):e9. PMC: 1550701. DOI: 10.2196/jmir.8.2.e9. View

Kawashima M . Systemic Health and Dry Eye. Invest Ophthalmol Vis Sci. 2018; 59(14):DES138-DES142. DOI: 10.1167/iovs.17-23765. View

Alexandre K, Campbell J, Bugnon M, Henry C, Schaub C, Serex M . Factors influencing diabetes self-management in adults: an umbrella review of systematic reviews. JBI Evid Synth. 2021; 19(5):1003-1118. DOI: 10.11124/JBIES-20-00020. View

Mares M, Salamonson Y, Maneze D, Elmir R, Everett B . Development and Validation of a Scale to Measure Self-efficacy and Self-management in People With Coronary Heart Disease. J Cardiovasc Nurs. 2023; 37(4):E81-E88. DOI: 10.1097/JCN.0000000000000777. View

Luo H, Patil S, Cummings D, Bell R, Wu Q, Adams A . Health Literacy, Self-management Activities, and Glycemic Control Among Adults With Type 2 Diabetes: A Path Analysis. J Public Health Manag Pract. 2019; 26(3):280-286. DOI: 10.1097/PHH.0000000000000984. View

Rees S, Williams A . Promoting and supporting self-management for adults living in the community with physical chronic illness: A systematic review of the effectiveness and meaningfulness of the patient-practitioner encounter. JBI Libr Syst Rev. 2016; 7(13):492-582. DOI: 10.11124/01938924-200907130-00001. View

He F, Zhao Z, Liu Y, Lu L, Fu Y . Assessment of Ocular Surface Damage during the Course of Type 2 Diabetes Mellitus. J Ophthalmol. 2018; 2018:1206808. PMC: 6079525. DOI: 10.1155/2018/1206808. View

Li X, Wyatt T, Velur Rajashekaran P, Bayless A, Odom L . Using a Systems Engineering Approach to Design an Interactive Mobile Health Application for Improving Asthma Self-management. Comput Inform Nurs. 2020; 39(4):221-228. DOI: 10.1097/CIN.0000000000000691. View

Sullivan D, Rocha E, Aragona P, Clayton J, Ding J, Golebiowski B . TFOS DEWS II Sex, Gender, and Hormones Report. Ocul Surf. 2017; 15(3):284-333. DOI: 10.1016/j.jtos.2017.04.001. View

10.

Stapleton F, Alves M, Bunya V, Jalbert I, Lekhanont K, Malet F . TFOS DEWS II Epidemiology Report. Ocul Surf. 2017; 15(3):334-365. DOI: 10.1016/j.jtos.2017.05.003. View

11.

Broadbent E, Petrie K, Main J, Weinman J . The brief illness perception questionnaire. J Psychosom Res. 2006; 60(6):631-7. DOI: 10.1016/j.jpsychores.2005.10.020. View

12.

Mehra D, Galor A . Digital Screen Use and Dry Eye: A Review. Asia Pac J Ophthalmol (Phila). 2020; 9(6):491-497. DOI: 10.1097/APO.0000000000000328. View

13.

Song P, Xia W, Wang M, Chang X, Wang J, Jin S . Variations of dry eye disease prevalence by age, sex and geographic characteristics in China: a systematic review and meta-analysis. J Glob Health. 2018; 8(2):020503. PMC: 6122008. DOI: 10.7189/jogh.08.020503. View

14.

Shao J, Yu K, Chen S . Feasibility and Acceptability of a Self-Management Program for Patients With Rheumatoid Arthritis. Orthop Nurs. 2020; 39(4):238-245. DOI: 10.1097/NOR.0000000000000676. View

15.

Martinez J, Galor A, Ramos-Betancourt N, Lisker-Cervantes A, Beltran F, Ozorno-Zarate J . Frequency and risk factors associated with dry eye in patients attending a tertiary care ophthalmology center in Mexico City. Clin Ophthalmol. 2016; 10:1335-42. PMC: 4959589. DOI: 10.2147/OPTH.S106451. View

16.

Wang J, Guo W, Zhang L, Deng W, Wang H, Yu J . The development and validation of Huaxi emotional-distress index (HEI): A Chinese questionnaire for screening depression and anxiety in non-psychiatric clinical settings. Compr Psychiatry. 2017; 76:87-97. DOI: 10.1016/j.comppsych.2017.04.001. View

17.

Zhang X, Yang L, Zhang Q, Fan Q, Zhang C, You Y . Reliability of Chinese web-based ocular surface disease index questionnaire in dry eye patients: a randomized, crossover study. Int J Ophthalmol. 2021; 14(6):834-843. PMC: 8165610. DOI: 10.18240/ijo.2021.06.07. View

18.

Tsubota K, Yokoi N, Shimazaki J, Watanabe H, Dogru M, Yamada M . New Perspectives on Dry Eye Definition and Diagnosis: A Consensus Report by the Asia Dry Eye Society. Ocul Surf. 2016; 15(1):65-76. DOI: 10.1016/j.jtos.2016.09.003. View

19.

Tsubota K, Yokoi N, Watanabe H, Dogru M, Kojima T, Yamada M . A New Perspective on Dry Eye Classification: Proposal by the Asia Dry Eye Society. Eye Contact Lens. 2019; 46 Suppl 1:S2-S13. PMC: 7423530. DOI: 10.1097/ICL.0000000000000643. View