Determinants of Rehabilitation Follow-up Non-adherence among Stroke Patients in Sibu, Sarawak

Main Article Content

Nurul Raihana Rahim
Rou Chen Jee

Abstract

Background: Sarawak’s vast geography, with remote communities and limited transport infrastructure, poses significant challenges for stroke rehabilitation, yet data on patient attrition in rural Borneo remain limited. This study aimed to evaluate the characteristics of stroke survivors referred for rehabilitation at Hospital Sibu and to identify independent predictors of non-adherence at follow-up.


Methods: Inpatient referrals to the Rehabilitation Medicine Department at Hospital Sibu between February 2022 and December 2024 were retrospectively analysed. To avoid competing risk bias, patients who died before their first follow-up were excluded. Factors associated with non-adherence, including functional status, socioeconomic background and travel time, were examined using multivariable binary logistic regression.


Results: The analytic cohort comprised 631 survivors (mean age 56.7 ± 15.1 years). Overall, 50.4% (n = 318) defaulted on their first outpatient appointment. Multivariable analysis identified travel time as the dominant barrier: patients living > 30 minutes from the hospital had a 40-fold higher risk of default (adjusted odds ratio [aOR] = 39.81; 95% confidence interval [CI]: 22.46, 70.58; P < 0.001). Functional dependency also predicted attrition (aOR = 0.98 per Modified Barthel Index point; P < 0.001). Ethnic disparities emerged after adjusting for geography: Chinese ethnicity was associated with lower default risk (aOR = 0.63; P = 0.028), while Melanau ethnicity remained strongly protective (aOR = 0.35; P = 0.001).


Conclusion: Post-stroke rehabilitation attrition in central Sarawak is high (50%). Although functional dependency and ethnicity were significant predictors, geographical inaccessibility is the primary driver of non-adherence. Decentralising care is critical to overcoming this logistical barrier.

Article Details

How to Cite
1.
Rahim NR, Jee RC. Determinants of Rehabilitation Follow-up Non-adherence among Stroke Patients in Sibu, Sarawak. Malays J Med Sci [Internet]. 2026 Feb. 28 [cited 2026 Mar. 4];33(1). Available from: https://ejournal.usm.my/mjms/article/view/mjms_vol33-no1-2026_8
Section
Original Articles

References

Feigin VL, Brainin M, Norrving B, Martins SO, Pandian J, Lindsay P, et al. Global stroke fact sheet 2025. Int J Stroke. 2025;20(2):132–144. https://doi.org/10.1177/17474930241308142

GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021;20(10):795–820. https://doi.org/10.1016/S1474-4422(21)00252-0

World Health Organization. Global Health Observatory data: stroke mortality in Southeast Asia, 2021. Geneva: WHO; 2022.

Department of Statistics Malaysia (DOSM). Stroke mortality data, Malaysia 2023. Putrajaya (Malaysia): DOSM; 2024 [Retrieved 2025 Mar 4]. Available at: https://www.dosm.gov.my

Tan KS, Venketasubramanian N. Stroke burden in Malaysia. Cerebrovasc Dis Extra. 2022;12(2):58–66. https://doi.org/10.1159/000524271

Aziz ZA, Lee YY, Ngah BA, Sidek NN, Looi I, Hanip MR, et al. Acute Stroke Registry Malaysia, 2010–2014: results from the National Neurology Registry. J Stroke Cerebrovasc Dis. 2015;24(12):2701–2709. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.07.025

Liu M, Wu Z, Liu GG, Xiao L, Li S. Barriers and facilitators for stroke patients’ adherence to rehabilitation in China: a qualitative study based on medical experts. Sci Rep. 2025;15:31525. https://doi.org/10.1038/s41598-025-12795-w

Sun YA, Kalpakavadi S, Prior S, Thrift AG, Waddingham S, Phan H, et al. Socioeconomic status and health-related quality of life after stroke: a systematic review and meta-analysis. Health Qual Life Outcomes. 2023;21(1):126. https://doi.org/10.1186/s12955-023-02194-y

Xing Y, Xiao J, Zeng B, Wang Q. ICTs and interventions in telerehabilitation and their effects on stroke recovery. Front Neurol. 2023;14:1234003. https://doi.org/10.3389/fneur.2023.1234003

Hardianto Y, Lynch E, Irwan AM, Kandasamy T, Purvis T, Callisaya ML, et al. A scoping review of community-based stroke rehabilitation programs in low-resource settings. Int J Stroke. 2025;21(2):164–176. https://doi.org/10.1177/17474930251368899

Beh WF, Abdul Latif L. Stroke Community Rehabilitation Centre (SCORE): a community transformation program. Gateways Int J Community Res Engagem. 2023;16(1):1–8. https://doi.org/10.5130/ijcre.v16i1.8583

Sidek NN, Tengku Ismail TA, Kamalakannan S, Chen XW, Romli MH, Mat Said MZ, et al. A mixed-methods study on the implementation of a mobile health application for stroke caregivers in Malaysia: healthcare providers’ perspective. Front Neurol. 2023;14:1222260. https://doi.org/10.3389/fneur.2023.1222260