Abstract
Background
Stroke is a major cause of disability worldwide, often leading to upper limb dysfunction, reduced daily living ability, and depression. Occupational therapy (OT) is recommended in rehabilitation guidelines, yet evidence on its comprehensive effects across physical and psychological outcomes in stroke survivors remains limited.
Objective
This systematic review and meta-analysis aimed to provide the most up-to-date and comprehensive evaluation of the effects of OT on upper limb function, daily living ability, and depressive symptoms in stroke patients.
Method
Eight English and Chinese databases were searched to August 2025 for RCTs comparing OT with standard rehabilitation in stroke patients. Outcomes included upper limb function, ADL, and depressive symptoms. Risk of bias was assessed with the Cochrane tool, and certainty of evidence with GRADE. Meta-analyses were conducted in RevMan 5.4 and Stata 18.0, with sensitivity and subgroup analyses by intervention setting, OT type, and duration. The complete search strategies (full electronic search strings for each database) are provided in Appendix 2.
Results
Twenty-two RCTs involving 2,833 stroke patients were included. Meta-analysis showed that OT significantly improved upper limb function (SMD = 1.42, 95% CI 0.62–2.21, p = 0.0005), activities of daily living (SMD = 1.17, 95% CI 0.80–1.54, p < 0.00001), and reduced depressive symptoms (SMD = −2.08, 95% CI –3.01 to −1.15, p < 0.00001) compared with controls. Subgroup analyses suggested larger effects in certain settings, with specific intervention types, and with longer (>8 weeks) durations, particularly for motor recovery. Sensitivity analyses confirmed result stability, and GRADE certainty was rated moderate for all outcomes.
Conclusion
OT significantly improves upper limb function, daily living ability, and depressive symptoms in stroke patients, with greater gains seen in longer-term and structured programs, supporting its integration into post-stroke rehabilitation.
Systematic review registration
https://www.crd.york.ac.uk/PROSPERO/, identifier CRD420251122701.
Keywords: activities of daily living, meta-analysis, occupational therapy, stroke rehabilitation, upper limb function
Introduction
Stroke refers to a sudden disruption of blood flow to the brain, leading to neurological impairment. It is the second leading cause of death worldwide and the primary cause of death and disability among Chinese adults (1). In 2019, an estimated 12.2 million people experienced a stroke globally, resulting in 6.55 million deaths (2). That same year, China reported approximately 3.94 million new stroke cases and 2.19 million related deaths (3). The consequences of stroke are often long-lasting and severe. Most patients develop motor impairments, particularly in the upper limbs, such as weakness and poor coordination. These deficits significantly limit their ability to perform daily activities and reduce overall quality of life (4). In addition, physical disability often leads to psychological challenges, including depression and emotional distress, which further hinder recovery (5).
Rehabilitation is central to stroke management. Chinese clinical guidelines recommend limb-focused therapies, including joint mobility exercises, strength training, and gait rehabilitation (6). They also acknowledge the American Heart Association’s support for incorporating occupational therapy (OT) into post-stroke care. For the purposes of this review, OT is operationally defined as any structured, goal-oriented intervention delivered by a qualified occupational therapist, encompassing activities of daily living (ADL) training, task-specific upper limb practice, interest-based or group therapy, domiciliary OT, and device-mediated approaches, but excluding interventions primarily classified as physiotherapy or mixed rehabilitation without a distinct occupational therapy component. Occupational therapy helps patients regain independence through goal-oriented activities drawn from everyday life—such as self-care, work, and leisure—tailored to their individual needs (7). Common interventions include training for daily living tasks, upper limb coordination, and fine motor skills. OT follows a stepwise, personalized approach, adjusting to each patient’s progress. This flexibility promotes engagement, supports better recovery outcomes, and may shorten rehabilitation time (8).
Although earlier systematic reviews (9, 10) demonstrated beneficial effects of OT on ADL outcomes after stroke, these reviews are now over two decades old, neither comprehensively addressed upper limb motor function as a primary outcome, nor examined the impact of OT on depressive symptoms. The present study therefore conducts an updated systematic review and meta-analysis of randomized controlled trials to address these gaps, with upper limb motor function and ADL performance as primary outcomes and depressive symptoms as a secondary outcome. The findings aim to inform clinical decision-making and support the development of more effective rehabilitation strategies. We hypothesized that, compared with standard care or conventional rehabilitation alone, OT would significantly improve upper limb function, ADL, and depressive symptoms in adults with stroke.
Methods
This systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines (Appendix 1) (11). The protocol for this review was prospectively registered in the International Prospective Register of Systematic Reviews (PROSPERO; registration number: CRD420251122701).
Data sources and search strategy
A comprehensive literature search was conducted across eight databases: China National Knowledge Infrastructure (CNKI), Wanfang Data, Weipu (VIP) Database, Chinese Biomedical Literature Service System (SinoMed), Web of Science, Cochrane Library, PubMed, and EMBASE. The search included all records from database inception to August 2025. Where available, “ahead of print” and “in-press” records indexed within the searched databases up to the search date were also screened for eligibility. Search terms included a combination of keywords and MeSH terms such as “occupational therapy,” “OT,” “stroke,” “cerebral apoplexy,” “stroke rehabilitation,” “post-stroke,” and “randomized.” The detailed PubMed search strategy is presented in Appendix 2. To capture gray literature and ongoing/unpublished trials, we also searched trial registries (ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform [ICTRP]) and screened conference proceedings and relevant clinical practice guidelines. No eligible unpublished or gray literature records meeting our inclusion criteria were identified through these searches. In addition, reference lists of included studies and relevant reviews were hand-searched to identify additional eligible RCTs. Records identified from registries and gray literature were screened using the same eligibility criteria as published studies; when necessary, investigators were contacted for available outcome data.
Inclusion and exclusion criteria
Eligible studies were randomized controlled trials (RCTs) published in English or Chinese. Eligibility criteria were prespecified according to the PICOS framework:
Population (P): Adults diagnosed with stroke confirmed by neuroimaging (CT or MRI), including ischemic stroke and/or intracerebral hemorrhage. We included patients across stages of chronicity (acute, subacute, or chronic) as defined by the original trials; when not explicitly stated, stage was categorized using the time since stroke onset reported in the study. Baseline stroke severity and upper-limb impairment were extracted where available (e.g., NIHSS, Fugl–Meyer baseline score, Brunnstrom stage, or equivalent clinical scales).
Intervention (I): OT operationally defined as a goal-directed, therapist-led rehabilitation program primarily targeting upper-limb motor recovery and/or performance of activities of daily living (ADL) through structured task practice. OT interventions were eligible if they included at least one of the following core components: (1) task-oriented upper-limb training (repetitive practice of functional tasks); (2) ADL-based training (self-care, dressing, feeding, grooming, transfers, and/or instrumental ADL practice); (3) constraint-induced movement therapy (CIMT) or modified CIMT delivered within an OT framework; (4) cognitive–motor OT integrating cognitive strategies (e.g., attention/executive training) with upper-limb or ADL task practice; and/or (5) home-based OT with structured, therapist-prescribed activities and progression. Studies were excluded if “OT” was not clearly described, was indistinguishable from general physiotherapy, or consisted solely of non-specific exercise without task/ADL content. When the nature of an intervention was ambiguous during screening-for example, when a study described a combined or multidisciplinary program without clearly delineating the OT component-the two independent reviewers discussed the case with reference to the operational definition above. If the intervention could not be confirmed as primarily OT-led (i.e., with OT as the principal and distinct therapeutic component rather than an adjunct to physiotherapy), the study was excluded. Disagreements were resolved by a third reviewer.
Comparator (C): Standard rehabilitation (usual care), operationally defined as conventional post-stroke rehabilitation programs not explicitly incorporating structured OT components, such as routine physiotherapy/exercise therapy (range-of-motion, strengthening, balance, gait training), basic nursing care, and/or general health education. When OT was delivered in addition to usual care, the comparator was required to receive the same usual care intensity without the OT-specific components.
Outcomes (O): Studies reporting at least one prespecified outcome: (1) upper-limb function (e.g., Fugl–Meyer Assessment–Upper Extremity, Action Research Arm Test, Wolf Motor Function Test, Box and Block Test, or equivalent); (2) ADL (e.g., Barthel Index, Functional Independence Measure, Modified Barthel Index, or equivalent); and/or (3) depressive symptoms (e.g., Hamilton Depression Rating Scale, Beck Depression Inventory, Patient Health Questionnaire-9, or equivalent). A summary of the specific outcome measurement tools used in each included study, organized by outcome domain, is provided in Appendix 3.
Study design (S): Parallel-group RCTs. Cluster RCTs were eligible if appropriate statistical adjustment was reported or could be derived.
Studies were excluded if they were duplicate publications (the most complete or recent report was retained), conference abstracts without full text, non-randomized designs, or had insufficient/irretrievable outcome data for effect size estimation.
Data extraction and quality assessment
Two reviewers independently screened all retrieved records against the prespecified eligibility criteria, first at the title and abstract level and then at full text. Discrepancies at either stage were resolved through discussion with a third reviewer. From each included study, the following data were extracted using a standardized form: first author, publication year, country, sample size (intervention and control groups), participant mean age, menopausal status and definition, type and description of the DHI, duration and frequency of the intervention, delivery format (self-directed versus therapist-guided), behavior change techniques incorporated, comparator condition, outcome domains assessed, and measurement instruments used. Where multiple time points were reported, data from the primary endpoint were extracted as the main outcome; end-of-intervention and longest available follow-up data were also recorded separately to assess durability of effects.
Methodological quality of all included RCTs was assessed independently by two reviewers using the Cochrane Risk of Bias Tool (RoB 1), evaluating six domains: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective outcome reporting, and other potential sources of bias. Each domain was rated as low risk, unclear risk, or high risk of bias. Given the inherent difficulty of blinding participants to a digital intervention, performance bias was interpreted with particular caution; studies were not downgraded solely on the basis of participant non-blinding where outcome assessment was conducted independently. Overall risk of bias profiles were used in sensitivity analyses to examine whether study quality moderated pooled effect estimates. Disagreements were resolved by consensus or adjudication by a third reviewer.
Certainty of evidence assessment
The quality of evidence for each outcome was independently evaluated using the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) framework, which is widely applied in systematic reviews involving randomized controlled trials. This assessment considered five key factors: potential risk of bias, heterogeneity of results, relevance of the evidence to the research question, precision of the estimates, and the likelihood of publication bias.
Statistical analysis
All statistical analyses were performed using RevMan version 5.4 and Stata version 18.0. For continuous outcomes, data were pooled based on the comparability of measurement methods and instruments. When outcome measures were assessed using the same scale and tools, the mean difference (MD) was used as the effect estimate. In cases where different measurement tools were employed, the standardized mean difference (SMD) was applied. The use of SMD is clinically justified when pooling heterogeneous instruments within the same outcome domain, as SMD expresses each study’s effect relative to its own observed variability, thereby placing results from different scales on a common metric while preserving the direction and magnitude of the treatment effect. All instruments pooled within each domain (upper limb function, ADL, and depressive symptoms) measure the same underlying clinical construct, supporting the appropriateness of this approach. All effect estimates were reported with their corresponding 95% confidence intervals (CIs). For studies reporting outcomes at multiple post-treatment time points, the final assessment time point (i.e., the longest available follow-up) was selected for the primary analysis, as this best reflects the sustained effects of OT. Where studies reported only a single post-treatment time point, that measurement was used. This approach was applied consistently across all included studies. Heterogeneity across studies was assessed using the Chi-square (χ2) test and the I2 statistic. A fixed-effects model was applied when heterogeneity was low (I2 < 50%). In the presence of significant heterogeneity (I2 > 50%), a random-effects model was used. If substantial heterogeneity was identified, sensitivity analyses were conducted to explore potential sources. Publication bias was evaluated visually using funnel plots. Subgroup analyses were performed to further investigate potential sources of heterogeneity and to assess the robustness of the findings, stratifying studies according to intervention settings, OT intervention type, and intervention duration.
Results
Literature screening and included studies
A total of 1,592 records were initially identified through systematic searches of eight databases, including PubMed (n = 53), Embase (n = 66), Cochrane Library (n = 15), Web of Science (n = 85), CNKI (n = 368), VIP (n = 274), Wanfang (n = 319), and CBM (n = 412). After removing 912 duplicates, 680 records remained for title and abstract screening. Of these, 475 records were excluded due to irrelevance. The full texts of 205 articles were assessed for eligibility. A total of 183 articles were excluded for the following reasons: not stroke population (n = 42), OT intervention unclear or not primary (n = 38), irrelevant outcomes (n = 46), insufficient data or full text unavailable (n = 30), and duplicate or overlapping data (n = 27). Finally, 22 studies (12–33) were included in this meta-analysis. The study selection process is presented in the PRISMA flow diagram (Figure 1).
Figure 1.
Flowchart showing study retrieval and inclusion.
Characteristics of included studies
A total of 22 randomized controlled trials were included in this meta-analysis, comprising 2,833 patients—1,500 in the intervention groups and 1,333 in the control groups. The sample sizes of individual studies ranged from 30 to 942 participants. The studies were conducted between 2000 and 2022 and were published in both Chinese and English. The mean age of participants across studies varied widely, ranging from approximately 50 to over 80 years. Most studies reported comparable baseline age distributions between intervention and control groups. Treatment durations also varied considerably, from as short as 2 weeks to as long as 6 months. The majority of interventions lasted between 4 and 8 weeks, with a few studies reporting treatment frequencies (e.g., daily sessions or hours per session) rather than duration in weeks. Detailed characteristics of the included studies—including author, publication year, sample size, age, and intervention duration—are presented in Table 1.
Table 1.
Baseline characteristics of included studies.
| Study | N (T/C) | Age (T/C) | OT type (category) | OT core components (brief) | Dose/frequency (h/week when available) | Setting | Follow-up | Outcomes |
|---|---|---|---|---|---|---|---|---|
| Dong 2007 (12) | 36/36 | 50.7 / NR | ADL-focused OT | ADL relearning; fine motor training; assistive devices | 1×/day, 60 min (h/week NR) | Inpatient | 6 w | ①② |
| Chen 2018 (13) | 60/60 | 56.8 ± 5.49/56.9 ± 5.13 | Task-oriented + ADL OT | Upper-limb control; grasp practice; fine motor tasks; self-care | 2×/day, 20–30 min (≈40–60 min/day; h/week NR) | Inpatient | 4 w | ①② |
| Cai 2018 (14) | 40/39 | 58.3 ± 4.7/59.8 ± 4.9 | ADL-focused OT | Fine motor practice; compensation training; assistive tools; ADL (feeding/dressing/toothbrushing) | 1×/day, 60 min (h/week NR) | Inpatient | NR | ①② |
| Zeng 2020 (15) | 35/35 | 51.7 ± 3.2/53.4 ± 2.7 | ADL-focused OT | ADL relearning (turning, dressing, feeding, transfers) | NR (with PT) | Inpatient | 6 w | ②③ |
| Jing 2006 (16) | 120/40 | 54.5 ± 19.6/57.3 ± 12.5 | Staged OT (ADL + fine motor) | Early ADL relearning; later fine motor/selected tasks; assistive devices; compensation strategies | 1×/day, 45–60 min (h/week NR) | Inpatient | 7 w | ①② |
| Xing 2015 (17) | 40/40 | 54.42 ± 12.37/55.63 ± 12.51 | Functional + vocational OT | Functional tasks; personal ADL; assistive devices; vocational activities (e.g., woodworking/weaving) | 1×/day, 45 min (h/week NR) | Inpatient | 4 w | ②③ |
| Qian 2007 (18) | 52/50 | 65.38 ± 9.21/64.54 ± 9.46 | Upper-limb + fine motor OT | Early grasp training; later fine motor devices/tasks; ADL-related practice | 2×/day, 45 min, 5 d/wk. (7.5 h/wk) | Inpatient/Outpatient | 2 w | ①② |
| Jie 2018 (19) | 34/34 | 57.24 ± 11.63/59.37 ± 12.81 | Task-oriented + ADL OT | ROM/weight-bearing; grasp training; fine motor (putty/blocks); ADL practice | 2×/day, 45 min, 5 d/wk. (7.5 h/wk); total duration NR | Inpatient | NR | ②③ |
| Di 2011 (20) | 20/20 | 68.5 ± 7.1/69.1 ± 9.2 | Upper-limb control + fine motor OT | ROM/control; fine motor boards; grasp/pinch; assembly tasks | NR (increased OT; session time NR) | Inpatient | 8 w | ① |
| Chen 2015 (21) | 38/36 | 62.35/60.57 | Home-based task-oriented OT | Task-based (table-wiping) with level-specific progression; ADL integration | 3×/day, 40 min, ≥5 d/wk. (≥10 h/wk) | Home/Community | 12 w | ①② |
| Lai 2021 (22) | 30/30 | 55.23 ± 8.41/55.46 ± 8.45 | Ward-extension OT (ADL-integrated) | Routine OT + ward-integrated ADL practice; “affected-hand guided by unaffected hand” | Routine OT 45 min/day, 5 d/wk. (3.75 h/wk) + daily ward extension (time NR) | Inpatient (ward extension) | 4 w | ①② |
| Gu 2020 (23) | 20/20 | 67.75 ± 9.34/67.42 ± 9.74 | ADL + fine motor OT (±NDT) | ADL training; upper-limb control; neurodevelopmental facilitation (e.g., Bobath); fine motor tasks | 45 min/day, 5 d/wk. (3.75 h/wk) | Inpatient | 6 w | ② |
| Jiang 2017 (24) | 20/20 | 60.16 ± 10.75/59.54 ± 11.30 | Interest-based/group OT | Music-based exercises; modified tasks; group games; social/leisure activities | 2×/day, 1 h, 5 d/wk. (10 h/wk) | Inpatient | 2 w | ②③ |
| Lin 2007 (25) | 30/28 | 63.52 ± 7.1/61.14 ± 9.2 | Staged OT + ADL OT | Phase-based training (flaccid/spastic/recovery); fine motor tasks; ADL drills | 40 min/day, 5 d/wk. (3.33 h/wk) | Inpatient | 4 w | ①② |
| Akiyama 2021 (26) | 15/15 | 64.4 ± 13.7/60.5 ± 13.8 | Task-oriented OT (device-based) | Screw Block® 3D assembly (finger control) + routine OT | 5 d/wk.: 20 min Screw Block + 20–40 min routine OT (3.3–5.0 h/wk) | Inpatient | 3 w | ①② |
| Aydilek 2022 (27) | 25/25 | 63 (30–79) / 67 (49–80) | Upper-limb + ADL OT | Fine hand skills using materials; coordination; ADL | 45 min, 3 d/wk. (2.25 h/wk) | Inpatient | 6 w | ①② |
| Eroğlu 2020 (28) | 17/18 | 56.9 ± 11.0/59.7 ± 11.9 | Individualized task-oriented OT | Personalized ADL-related fine tasks (beading, buttoning, games, putty, pegboard) | 45 min, 3 d/wk. (2.25 h/wk) | Outpatient | 8 w | ①②③ |
| Gilbertson 2000 (29) | 67/71 | 71 (28–89) / 71 (31–89) | Client-centered home OT | Goal-based self-care/household/leisure activities | ~10 visits, 30–45 min/visit (total ≈5–7.5 h over 6 w; ~0.8–1.3 h/wk) | Home | 8 w | ② |
| Parker 2001 (30) | 153/157 | 72 ± 10.37/72 ± 9.62 | Leisure OT vs. ADL OT | Leisure-focused OT vs. ADL-focused OT (e.g., cooking, mobility/self-care) | ≥10 visits; ≥30 min/visit (avg ~ 50–60 min) | Community/Home | 6 mo | ② |
| Sackley 2006 (31) | 63/55 | 88.6 ± 6.5/86.3 ± 8.8 | Personal ADL-focused OT | Feeding, dressing, transfers, mobility; caregiver education; environmental modification | median 2.7 visits/mo; median 4.5 h/mo (~1.0 h/wk) | Care homes | 6 mo | ② |
| Sackley 2015 (32) | 512/430 | 83.6 ± 9.5/83.1 ± 9.9 | Goal-setting + ADL OT | ADL task-specific training; environmental adaptation; staff training | mean 5.1 visits total; median 30 min/visit (total ≈2.6 h over 3 mo; ~0.2 h/wk) | Care homes | 6 mo | ②③ |
| Walker 2001 (33) | 73/74 | 73.3 ± 7.8/74.7 ± 8.0 | Home OT (ADL + extended ADL) | Promoting independence in personal ADL + extended ADL | 1–15 visits (mean 6); dose per visit NR | Home | 5 mo | ② |
T: occupational therapy (OT) group; C: control group. Outcomes: ① upper limb function, ② activities of daily living (ADL), ③ depressive symptoms. w = weeks; m = months; NA = not reported.
Intervention characteristics
The included studies implemented a wide range of OT interventions, reflecting variations in clinical settings, treatment intensity, and therapy content. Most OT protocols were delivered in combination with standard physical therapy (PT), while several studies evaluated OT as a stand-alone intervention. The duration of OT interventions ranged from 2 weeks to 6 months, with session frequencies varying between once daily and multiple times per day, typically lasting 30–60 min per session. Common OT components included training in ADLs, upper limb functional exercises, fine motor skill development, task-oriented activities, use of assistive devices, and patient education. Some studies emphasized individualized, goal-directed therapy based on patient needs and recovery stages, while others incorporated group-based or home-based training. A few trials integrated novel approaches such as game-based tasks, music-assisted activities, or tool-based interventions (e.g., pegboards, therapy boards). Control groups generally received conventional rehabilitation, including physical therapy or standard post-stroke care, without targeted OT. A subset of studies also included psychological support, caregiver involvement, or structured education as part of the OT or control protocols. Further details are provided in Appendix 3.
Risk of bias assessment
Most of the included studies showed a low risk of bias in handling missing outcome data and in reporting results, indicating generally reliable follow-up and transparent reporting practices. All studies were rated as low risk in these two domains. Random sequence generation was adequately reported in the majority of studies, suggesting appropriate randomization. However, the risk of bias related to allocation concealment, blinding of participants and personnel, and blinding of outcome assessment was unclear in most cases. This was largely due to a lack of detailed reporting on these methods. As a result, concerns remain about potential selection, performance, and detection bias in these areas. A summary of overall risk of bias is presented in Figure 2, with detailed assessments for each study shown in Figure 3.
Figure 2.
Risk of bias graph.
Figure 3.
Risk of bias summary.
Upper limb function
Twelve studies evaluated the effects of occupational therapy on upper limb function in stroke patients. Due to high heterogeneity (I2 = 96%, p < 0.00001), a random-effects model was applied. Pooled results showed that occupational therapy significantly improved upper limb function compared with control interventions (SMD = 1.42, 95% CI [0.62, 2.21], p = 0.0005; Figure 4). Most studies favored the OT group, with several (e.g., Chen 2018, Jing 2006, Di 2011, Chen 2015) reporting large effects (SMD > 2.0). One study (Aydilek 2022) showed a negative effect (SMD = −1.70), possibly due to variations in intervention intensity or patient characteristics.
Figure 4.
Forest plot comparing upper limb function between the OT and control group.
Activities of daily living
Twenty-one studies evaluated the effect of occupational therapy on activities of daily living in stroke survivors. Due to substantial heterogeneity (I2 = 94%, p < 0.00001), a random-effects model was applied. The meta-analysis demonstrated a significant improvement in ADL outcomes among patients receiving occupational therapy compared with controls (SMD = 1.17, 95% CI [0.80, 1.54], p < 0.00001; Figure 5). Most studies reported effect sizes in favor of the OT group, ranging from small to very large. Notably, Chen 2015, Jing 2006, and Lai 2021 showed particularly strong effects (SMD > 2.0), suggesting that intensive or structured OT programs may yield greater functional gains. In contrast, studies such as Parker 2001 and Gu 2020 showed minimal or nonsignificant effects.
Figure 5.
Forest plot comparing activities of daily living between the OT and control group.
Depressive symptoms
Six trials assessed depressive symptoms using validated instruments, including the Self-Rating Depression Scale (SDS), the 17-item Hamilton Depression Rating Scale (HAMD-17), the Hospital Anxiety and Depression Scale (HADS; depression component), and the 15-item Geriatric Depression Scale (GDS-15). Given substantial heterogeneity across studies (I2 = 95%, p < 0.00001), a random-effects model was applied. The pooled analysis showed that occupational therapy significantly reduced depressive symptoms compared with controls (SMD = −2.08, 95% CI −3.01 to −1.15, p < 0.00001; Figure 6).
Figure 6.
Forest plot comparing depressive symptoms between the OT and control group.
Subgroup analysis
By intervention setting
The effectiveness of OT varied significantly by intervention setting. For upper limb function, OT delivered in hospital or rehabilitation centers produced significant improvements compared to controls (SMD = 1.06, 95% CI 0.35–1.77; I2 = 95%). A markedly larger effect was observed in a home-based study (SMD = 5.72, 95% CI 4.67–6.77), though this result should be interpreted cautiously due to limited data. Subgroup differences were statistically significant (p < 0.00001). For ADL, OT yielded consistent benefits across all settings, with the greatest effects in home or community environments (SMD = 2.02, 95% CI 0.80–3.25), followed by hospital-based (SMD = 1.14, 95% CI 0.69–1.59) and residential care (SMD = 0.63, 95% CI 0.30–0.96); subgroup difference was significant (p = 0.03). Regarding depressive symptoms, significant improvements were noted in both hospital-based (SMD = −2.46, 95% CI −3.89 to −1.03) and residential settings (SMD = −0.98, 95% CI −1.11 to −0.84), suggesting structured clinical environments may offer psychological advantages. These findings highlight that setting-specific factors may modulate OT effectiveness, particularly in motor and psychological domains (Appendix Figures 4.1–4.3).
By OT intervention type
The type of OT intervention influenced outcomes across domains. For upper limb function, the greatest benefit was observed in OT combined with standard rehabilitation (SR) (SMD = 2.46, 95% CI 1.02–3.90). OT alone also showed a strong but imprecise effect (SMD = 3.21, 95% CI −1.65 to 8.07), likely due to small sample size. OT combined with PT showed a modest, non-significant effect (SMD = 0.53, 95% CI −0.37 to 1.42), and Screw Block® training did not demonstrate additional benefit (SMD = 0.32, 95% CI −0.40 to 1.04). For ADL, the strongest effect was observed with OT alone (SMD = 1.52, 95% CI 0.73–2.31), followed by OT + SR (SMD = 1.27) and OT + PT (SMD = 0.97). Again, OT + Screw Block® showed limited impact. In terms of depressive symptoms, all modalities produced favorable results: OT alone (SMD = −1.38, 95% CI −1.80 to −0.96), OT + SR (SMD = −0.98), and notably OT + PT (SMD = −3.40, 95% CI −6.34 to −0.45), although the latter was based on only three heterogeneous studies. Overall, OT combined with standard rehabilitation consistently demonstrated robust outcomes across domains, while OT alone showed substantial efficacy, especially in functional and psychological domains. Evidence supporting OT + PT or innovative methods remains limited and inconsistent (Appendix Figures 4.4–4.6).
By intervention duration
Intervention duration significantly impacted outcomes, particularly for motor recovery. For upper limb function, long-term interventions (>8 weeks) yielded the greatest improvements (SMD = 5.72, 95% CI 4.67–6.77), followed by short-term (≤4 weeks) (SMD = 1.60, 95% CI 0.43–2.77). Medium-term (5–8 weeks) interventions showed no significant effect (SMD = 0.50, 95% CI −0.61 to 1.61). Subgroup differences were statistically significant (p < 0.00001). For ADL, all durations produced clinically relevant benefits-long-term (SMD = 1.43), short-term (SMD = 1.24), and medium-term (SMD = 1.02)--with no significant subgroup differences (p = 0.79), suggesting duration-independent functional gains. Regarding depressive symptoms, both short-term (SMD = −1.50, 95% CI −2.11 to −0.90) and long-term (SMD = −0.98, 95% CI −1.11 to −0.84) interventions were effective, whereas the medium-term subgroup showed non-significant effects (SMD = −4.34, 95% CI −11.93 to 3.26), possibly due to limited data and heterogeneity (p = 0.17). Collectively, these results indicate that longer intervention durations may enhance outcomes in upper limb recovery and mood regulation, whereas ADL improvements appear consistent regardless of duration (Appendix Figures 4.7–4.9).
Sensitivity analysis, publication bias, and evidence certainty
Sensitivity analyses confirmed the robustness of the findings across all three outcomes. Systematically removing each study did not substantially alter effect sizes or the direction of results, indicating that no single study disproportionately influenced the conclusions. Despite moderate to high heterogeneity in some outcomes, no dominant source was identified, supporting the stability of the pooled estimates (Appendix 5). The certainty of evidence, evaluated using the GRADE approach, was rated as low for all three outcomes. This downgrading reflected two serious domains: risk of bias across included studies, and substantial inconsistency as indicated by very high heterogeneity (I2 = 94–96%). Although meta-regression analyses did not identify specific study-level covariates explaining this heterogeneity, the magnitude of between-study variance remained clinically important and precluded a higher certainty rating. Accordingly, the pooled estimates should be interpreted with caution, and the findings are best regarded as preliminary evidence requiring confirmation from future well-standardized trials (Appendix 7). Visual inspection of funnel plots showed no clear asymmetry, indicating a low likelihood of publication bias (Appendix 6).
Meta-regression
To investigate potential sources of heterogeneity, meta-regression analyses were conducted across all three outcome domains, examining four study-level covariates: mean age, dose intensity (h/week), intervention setting (hospital vs. community), and follow-up duration (weeks). Results are presented in Appendix 8. No covariate reached statistical significance in any outcome domain. For upper limb function, ADL, and depressive symptoms respectively, mean age (p = 0.62, 0.41, 0.74), dose intensity (p = 0.18, 0.33, 0.49), intervention setting (p = 0.49, 0.36, 0.67), and follow-up duration (p = 0.72, 0.58, 0.54) were all non-significant. These findings indicate that the substantial heterogeneity observed across studies could not be explained by these study-level variables alone, and likely reflects the inherent clinical and methodological diversity among included trials, including variability in OT protocols, patient case-mix, and outcome measurement instruments.
Discussion
This systematic review and meta-analysis included 22 randomized controlled trials encompassing 2,833 stroke patients and suggested that OT may improve upper limb motor function, ADL, and depressive symptoms compared with standard care or conventional rehabilitation. However, given the substantial heterogeneity observed across all three outcome domains (I2 = 94–96%), these findings should be interpreted with caution; the pooled estimates reflect the average effect across a clinically and methodologically diverse body of evidence rather than a precise, universally applicable treatment effect. These findings were consistent across diverse clinical settings, intervention types, and durations. Notably, OT delivered in hospital or home settings, implemented either as a standalone intervention or combined with standard rehabilitation, was associated with greater functional and psychological benefits. Longer intervention durations (>8 weeks) appeared to yield superior improvements in motor recovery and mood, while gains in ADL were observed regardless of duration. Sensitivity analyses supported the robustness of these findings, and no substantial publication bias was detected. Overall, the evidence tentatively suggests that OT is an effective and adaptable rehabilitation strategy for enhancing both physical and emotional recovery in stroke survivors, though this conclusion must be tempered by the methodological limitations discussed below.
Occupational therapy is fundamentally grounded in a goal-oriented and client-centered approach, translating rehabilitation goals into meaningful, real-world task practice and participation. Goal-oriented therapy emphasizes training that is explicitly linked to functional objectives and task performance, thereby increasing practice intensity and supporting recovery of autonomy after stroke. In line with this principle, goal-oriented rehabilitation programs have been shown to improve functional autonomy (e.g., Barthel Index) alongside balance and gait-related outcomes in subacute stroke, highlighting that rehabilitation targets extend beyond upper-limb recovery alone. These concepts reinforce the rationale for OT as a cornerstone of post-stroke rehabilitation across multiple domains—including upper-limb function, walking-related mobility, and activities of daily living—by anchoring therapy in functional goals and task-specific training (34).
Notably, OT was associated with potentially meaningful improvements in upper limb function, a critical determinant of post-stroke independence due to the central role of the upper limbs in daily activities (35). It is worth noting, however, that the pooled SMD of 1.42 for upper limb function, while statistically large by conventional thresholds (SMD > 0.8), must be interpreted in the context of clinical meaningfulness. For the Fugl-Meyer Assessment–Upper Extremity (FMA-UE), the minimal clinically important difference (MCID) has been estimated at approximately 4.25–7.25 points in subacute stroke populations. Whether the observed pooled effect translates to a change of this magnitude in absolute scale terms will vary across studies depending on baseline severity and the specific instruments used, and cannot be uniformly confirmed from the standardized effect size alone. Clinicians should therefore exercise caution when extrapolating these statistical findings to individual patient care. These findings are consistent with previous research (36–38), and it has been hypothesized that the observed benefits may be attributed to the neuroplastic potential of the brain. Based on evidence from external neuroimaging and neurophysiological studies—rather than direct measurement within the included RCTs, none of which assessed neuroplasticity outcomes—it is theorized that by engaging patients in structured, task-oriented activities, OT may stimulate axonal and dendritic growth, promoting reorganization of damaged neural pathways and facilitating motor recovery (39, 40). These mechanistic explanations should therefore be regarded as plausible hypotheses informed by the broader neuroscience literature, rather than conclusions directly supported by the present data. Additionally, active involvement in OT promotes limb mobilization and muscle activation, helping to correct abnormal motor patterns and reinforce neuromuscular control (41).
Beyond motor function, OT appeared to enhance performance in ADL, aligning with earlier findings (9, 10, 42). Several studies reported notably large effect sizes in this domain; in particular, Chen 2015 (SMD = 9.69) and Zeng 2020 should be regarded as statistical outliers, as their effect sizes are implausibly large by conventional standards (SMD > 0.8 is already considered “large” in meta-analytic literature). Upon re-verification, the data extracted from Chen 2015 were confirmed to be consistent with the original publication; the extreme SMD appears to reflect the unusually small standard deviations reported in that study rather than a data extraction error. Importantly, the sensitivity analysis reported in Appendix 5, in which each study was systematically removed in turn, demonstrated that excluding Chen 2015 and Zeng 2020 did not substantially alter the overall direction or magnitude of the pooled ADL effect, confirming the robustness of the primary finding despite the presence of these outliers. Nonetheless, these studies should be interpreted with caution and their disproportionate influence on the pooled estimate acknowledged. This effect likely stems from the functional nature of OT interventions, which integrate real-life tasks such as grooming, feeding, and dressing, alongside exercises targeting strength, coordination, and fine motor skills (43). These activities are designed to mirror everyday demands, follow a progression from gross to fine movements, and incorporate elements that maintain patient engagement—features that contribute to sustained participation and meaningful functional gains. Furthermore, OT’s positive impact on ADL may translate into improved quality of life, as supported by earlier studies (44–47). By restoring physical independence, OT may also enhance psychological wellbeing and cognitive function (48), particularly when interventions include creative or leisure-based tasks like knitting, painting, and sculpting, which can enhance motivation and emotional resilience.
The analysis also suggested that OT may effectively reduce depressive symptoms in stroke patients, reinforcing findings from Huang Hongyan and colleagues on the utility of behavioral therapies in post-stroke depression (49, 50). Depressive symptoms are common following stroke and are often linked to loss of function and autonomy. The degree of neurological impairment has been shown to correlate with depressive severity (51); therefore, improvements in physical capabilities via OT may also foster emotional recovery. Success in completing meaningful tasks may provide a sense of accomplishment, reinforcing positive affect and reducing psychological distress. However, not all studies observed this benefit. For example, Walker et al. (52) reported no significant mood improvement post-OT, potentially due to delayed intervention or differences in therapeutic approach. These inconsistencies underscore the need for early, individualized OT as part of comprehensive stroke rehabilitation. Clinicians are encouraged to inform patients and caregivers about the multifaceted benefits of OT and to promote active, personalized participation as a means of enhancing functional recovery, psychological health, and overall wellbeing.
Subgroup analyses revealed that the effectiveness of OT varies considerably depending on intervention setting, delivery mode, and duration. Home- and hospital-based interventions demonstrated superior outcomes compared to residential settings, particularly for upper limb and psychological recovery. These differences likely reflect variations in therapeutic intensity, patient engagement, and resource availability across environments, underscoring the need to tailor OT programs to context-specific factors. Intervention type also shaped outcomes. OT combined with standard rehabilitation consistently produced positive effects across domains, suggesting synergy between multidisciplinary approaches. Interestingly, OT alone yielded comparable or even greater benefits in ADL and mood outcomes, possibly due to focused task-oriented training. In contrast, combining OT with physical therapy or device-based strategies (e.g., Screw Block®) showed inconsistent results, highlighting that therapeutic specificity may outweigh intervention complexity. Intervention duration further influenced efficacy. Long-term OT was most effective for motor recovery and depressive symptoms, supporting the role of sustained engagement in neuroplastic and emotional adaptation. In contrast, ADL improvements appeared less duration-dependent, suggesting that early functional gains may be achievable with shorter interventions. Together, these findings emphasize that OT is not a one-size-fits-all intervention; rather, its impact is shaped by how, where, and for how long it is delivered. Future research should focus on optimizing intervention strategies for different patient profiles and clinical settings.
This review extends the existing evidence base on OT after stroke in several important ways. First, recent syntheses have either focused on chronic stroke populations and predominantly evaluated ADL outcomes, with limited or non-significant effects reported for broader physical domains, or have addressed adjunctive modalities (e.g., FES/tDCS) added to OT rather than OT itself (53, 54). In contrast, the present meta-analysis provides an updated evaluation of OT as a standalone intervention, with a primary emphasis on upper-limb function, and additionally synthesizes effects on ADL and depressive symptoms, thereby capturing both physical and psychological domains of post-stroke rehabilitation. Moreover, by including RCTs published in both English and Chinese and conducting prespecified subgroup analyses by setting, OT type, and duration, we offer clinically actionable insights into potential sources of heterogeneity and conditions under which OT may confer greater benefit.
Several limitations of this review should be acknowledged. First, substantial heterogeneity was observed across outcomes, which, despite the use of random-effects models, subgroup analyses, and meta-regression, may limit the generalizability of the findings. Second, many included trials provided insufficient detail regarding allocation concealment and blinding, raising concerns about potential risk of bias. Third, considerable variability in OT protocols, outcome measures, and follow-up durations limited direct comparability across studies. Importantly, although upper limb motor function was a primary outcome, spasticity—an important factor that can substantially impair upper limb use after stroke—was not consistently reported or quantitatively analyzed across the included trials, precluding a separate synthesis of its effects. In addition, cognitive impairment and language disorders (e.g., aphasia), which are highly prevalent after stroke and critically influence functional independence and rehabilitation participation, were not systematically assessed in this review due to insufficient and heterogeneous reporting. Furthermore, as the literature search was restricted to English and Chinese publications, trials conducted in other languages—including potentially significant European and Japanese studies—may have been missed, representing a language bias that could limit the generalizability of our findings to non-Asian clinical contexts. These unmeasured domains may partly account for residual heterogeneity and should be addressed in future trials. Finally, depressive symptoms were reported in only a limited number of studies, warranting cautious interpretation. Future high-quality, multicenter RCTs incorporating standardized assessments of motor impairment, spasticity, cognitive and language function, as well as long-term follow-up, are needed to provide a more comprehensive evaluation of the effects of occupational therapy after stroke. Future studies should also examine the potential influence of environmental and socioeconomic conditions on OT outcomes, as these factors—though not measured in the trials included in the present review—may substantially moderate the effectiveness of rehabilitation interventions across different healthcare systems and patient populations.
Conclusion
This meta-analysis suggests that OT offers significant benefits for stroke patients, particularly in enhancing upper limb function, improving activities of daily living, and alleviating depressive symptoms. These effects were generally consistent across different intervention settings, types, and durations, though longer-term and structured OT programs may yield greater improvements in motor and psychological outcomes. While the overall findings support the integration of OT into post-stroke rehabilitation, the presence of methodological limitations and heterogeneity among included studies underscores the need for cautious interpretation. Future high-quality, standardized, and multicenter randomized controlled trials are warranted to strengthen the evidence base and inform clinical practice more reliably.
Funding Statement
The author(s) declared that financial support was not received for this work and/or its publication.
Footnotes
Edited by: António Miguel Monteiro, Instituto Politécnico de Bragança, Portugal, Portugal
Reviewed by: Rita Chiaramonte, University of Catania, Italy
Lumini J. A., Instituto Superior de Saúde do Alto Ave, Portugal
Data availability statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
JB: Conceptualization, Methodology, Data curation, Writing – original draft, Writing – review & editing, Project administration. TL: Writing – review & editing, Visualization. XD: Data curation, Formal analysis, Investigation, Writing – original draft. WH: Conceptualization, Supervision, Funding acquisition, Writing – review & editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that Generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2026.1692088/full#supplementary-material
References
- 1.Wang LD, Wang JH, Peng B, Zhang HQ, Wang YL, Liu M, et al. Summary of Chinese stroke prevention report 2016. Chin J Cerebrovasc Dis. (2017) 14:8. doi: 10.3969/j.issn.1672-5921.2017.04.010 [DOI] [Google Scholar]
- 2.Huang YY, Chen SD, Leng XY, Kuo K, Wang Z-T, Cui M, et al. Post-stroke cognitive impairment: epidemiology, risk factors, and management. J Alzheimer's Dis. (2022) 86:983–99. doi: 10.3233/JAD-215644, [DOI] [PubMed] [Google Scholar]
- 3.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) 20:795–820. doi: 10.1016/S1474-4422(21)00252-0, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ni XJ, Chen YL, Cai YF. Evidence-based practice guideline of integrated traditional Chinese and Western medicine for stroke (2019). Chin J Evid Based Med. (2020) 20:39–50. [Google Scholar]
- 5.Xie H, Chen YL, Wu ZP, Yu LP. Quality of life and related factors of post-stroke depression after ischemic stroke. Chin J Health Care Med. (2017) 19:2. [Google Scholar]
- 6.Neurology Branch of Chinese Medical Association; Neurorehabilitation Group of Neurology Branch of Chinese Medical Association; Cerebrovascular Disease Group of Neurology Branch of Chinese Medical Association. Chinese guideline for early rehabilitation treatment of stroke. Chin J Neurol. (2017) 50. doi: 10.3760/cma.j.issn.1006-7876.2017.06.002 [DOI] [Google Scholar]
- 7.Zhang T, Zhao J. Occupational therapy practice framework: domain and process-fourth edition. Am J Occup Ther. (2020) 74:7412410010p1–7412410010p87. doi: 10.5014/ajot.2020.74S2001, [DOI] [PubMed] [Google Scholar]
- 8.Lu JYM. Effect of early occupational therapy on depressive symptoms and activities of daily living in stroke patients. World Latest Med Inf (Electronic Version). (2020) 20:346–7. doi: 10.3969/j.issn.1671-3141.2020.73.199 [DOI] [Google Scholar]
- 9.Steultjens EM, Dekker J, Bouter LM, van de Nes JC, Cup EH, van den Ende CH. Occupational therapy for stroke patients: a systematic review. Stroke. (2003) 34:676–87. doi: 10.1161/01.STR.0000057576.77308.30, [DOI] [PubMed] [Google Scholar]
- 10.Legg LA, Drummond AE, Langhorne P. Occupational therapy for patients with problems in activities of daily living after stroke. Cochrane Database Syst Rev. (2006) 2006:CD003585. doi: 10.1002/14651858.CD003585.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. (2021) 372:n71. doi: 10.1136/bmj.n71 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dong YL, Zhou FY, Chen JJ, et al. Rehabilitation effect of early occupational therapy on stroke patients. J Nurs Sci. (2007) 9:57–8. [Google Scholar]
- 13.Chen WY. Rehabilitation effect of early occupational therapy on upper limb motor function in stroke patients. Chin J Pract Rural Doctor. (2018) 25:59–61. doi: 10.3969/j.issn.1672-7185.2018.02.028 [DOI] [Google Scholar]
- 14.Cai J. Rehabilitation effect of early occupational therapy on stroke patients. Health Care Guide. (2018) 38:339–43. doi: 10.3969/j.issn.1006-6845.2018.38.319 [DOI] [Google Scholar]
- 15.Zeng XX. Rehabilitation effect of early occupational therapy on stroke patients. Health Must-Read. (2020) 5:197. [Google Scholar]
- 16.Jing ZW, Han QY, Wang Z, Zhang JW, Zhang ZQ, Han CH, et al. Effect of early occupational therapy intervention on activities of daily living in patients with stroke. Chin J Clin Rehabil. (2006) 10:54–6. doi: 10.3321/j.issn:1673-8225.2006.04.019 [DOI] [Google Scholar]
- 17.Xing J, Wang YJ. Effect of early occupational therapy on depressive symptoms and activities of daily living in stroke patients. Chin J Behav Med Brain Sci. (2015) 24:1094–6. doi: 10.3760/cma.j.issn.1674-6554.2015.12.010 [DOI] [Google Scholar]
- 18.Qian H, Huang Y, Zhu SZ. Effect of early occupational therapy intervention on upper limb motor function and ADL in patients with acute stroke hemiplegia. Chin J Rehabil Med. (2007) 22:343–4. doi: 10.3969/j.issn.1001-1242.2007.04.016 [DOI] [Google Scholar]
- 19.Jie YT, Xu HM. Effect of occupational therapy on emotional disorders in convalescent stroke patients with hemiplegia. World Latest Med Inf (Electronic Version). (2018) 18:66–72. doi: 10.19613/j.cnki.1671-3141.2018.01.039 [DOI] [Google Scholar]
- 20.Di YQ, Han ZP, Ma J. Effect of occupational therapy on upper limb motor function in stroke patients. Chin Rehabil. (2011) 26:188–9. doi: 10.3870/zgkf.2011.03.012 [DOI] [Google Scholar]
- 21.Chen Y, Zhang SH, Chen Y. Effect of home-based occupational therapy on upper limb function and activities of daily living in mid- to late-stage stroke patients with hemiplegia. J Rehabil. (2015) 25:40–2. doi: 10.13261/j.issn.2096-0328.2015.03.007 [DOI] [Google Scholar]
- 22.Lai LP, Liang JY, Rong JC, Chen MH. Effect of “rebuilding life-based” ward-extended occupational therapy on upper limb function and ADL in stroke patients with hemiplegia. China Pract Med. (2021) 16:192–4. doi: 10.14163/j.cnki.11-5547/r.2021.10.071 [DOI] [Google Scholar]
- 23.Gu LH, Chen QG, Liu D, et al. Effect of occupational therapy on activities of daily living in post-stroke hemiplegic patients. Chin J Pract Nerv Dis. (2020) 23:1539–43. [Google Scholar]
- 24.Jiang YP, Xing NJ, Ren P. Clinical observation on the effect of interest-oriented occupational therapy in improving post-stroke depression. J Psychiatry. (2017) 30:221–2. [Google Scholar]
- 25.Lin QL, Zhang CJ, Wu J, et al. Effect of occupational therapy on upper limb function in stroke patients with hemiplegia. Chin J Rehabil Med. (2007) 5:444–5. [Google Scholar]
- 26.Akiyama N, Fujishima I, Tanaka S, Matsuura N, Hashimoto H, Yamamoto S. Occupational therapy with the screw block® kit for improving upper limb function in stroke patients: a quasi-randomized controlled trial. Prog Rehabil Med. (2021) 6:20210002.. Published 2021 Jan 8. doi: 10.2490/prm.20210002, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Aydilek M, Yasar MF, Yaksi E. The effect of occupational therapy on upper extremity function and daily life activities in stroke patients. J Phys Med Rehabil Sci. (2022) 25:27–33. [Google Scholar]
- 28.Eroğlu M, Karapolat H, Atamaz F, Tanıgör G, Kirazlı Y. Occupational therapy assessment and treatment approach in patients with subacute and chronic stroke: a single-blind, prospective, randomized clinical trial. Turk J Phys Med Rehabil. (2020) 66:316–28. Published 2020 Aug 18. doi: 10.5606/tftrd.2020.4321, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gilbertson L, Langhorne P, Walker A, Allen A, Murray GD. Domiciliary occupational therapy for patients with stroke discharged from hospital: randomised controlled trial. BMJ. (2000) 320:603–6. doi: 10.1136/bmj.320.7235.603, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Parker CJ, Gladman JR, Drummond AE, Dewey ME, Lincoln NB, Barer D, et al. A multicentre randomized controlled trial of leisure therapy and conventional occupational therapy after stroke. TOTAL study group. Trial of occupational therapy and leisure. Clin Rehabil. (2001) 15:42–52. doi: 10.1191/026921501666968247, [DOI] [PubMed] [Google Scholar]
- 31.Sackley C, Wade DT, Mant D, Atkinson JC, Yudkin P, Cardoso K, et al. Cluster randomized pilot controlled trial of an occupational therapy intervention for residents with stroke in UK care homes. Stroke. (2006) 37:2336–41. doi: 10.1161/01.STR.0000237124.20596.92, [DOI] [PubMed] [Google Scholar]
- 32.Sackley CM, Walker MF, Burton CR, Watkins CL, Mant J, Roalfe AK, et al. An occupational therapy intervention for residents with stroke related disabilities in UK care homes (OTCH): cluster randomised controlled trial. BMJ. (2015) 350:h468. Published 2015 Feb 5. doi: 10.1136/bmj.h468, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Walker MF, Hawkins K, Gladman JR, Lincoln NB. Randomised controlled trial of occupational therapy at home: results at 1 year. J Neurol Neurosurg Psychiatry. (2001) 70:267. doi: 10.1136/jnnp.70.2.267, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Chiaramonte R, D'Amico S, Caramma S, Grasso G, Pirrone S, Ronsisvalle MG, et al. The effectiveness of goal-oriented dual task proprioceptive training in subacute stroke: a retrospective observational study. Ann Rehabil Med. (2024) 48:31–41. doi: 10.5535/arm.23086, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Pollock A, Farmer SE, Brady MC, Langhorne P, Mead GE, Mehrholz J, et al. Interventions for improving upper limb function after stroke. Cochrane Database Syst Rev. (2014) 2014:CD010820. doi: 10.1002/14651858.CD010820.pub2, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Arya KN, Verma R, Garg RK, Sharma VP, Agarwal M, Aggarwal GG. Meaningful task-specific training (MTST) for stroke rehabilitation: a randomized controlled trial. Top Stroke Rehabil. (2012) 19:193–211. doi: 10.1310/tsr1903-193, [DOI] [PubMed] [Google Scholar]
- 37.Xu DS. Observation on the effect of occupational therapy on upper limb function rehabilitation in stroke patients. China Sci Technol J Database Med Health. (2023) 19:193–211. [Google Scholar]
- 38.Alsubiheen AM, Choi W, Yu W, Lee H. The effect of task-oriented activities training on upper-limb function, daily activities, and quality of life in chronic stroke patients: a randomized controlled trial. Int J Environ Res Public Health. (2022) 19:14125. doi: 10.3390/ijerph192114125, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ma YP, Yan XJ, Li XH, et al. Effect of acupuncture combined with rehabilitation training on limb motor function and quality of life in stroke patients with hemiplegia. Chin J Gerontol. (2020) 40:4. doi: 10.3969/j.issn.1005-9202.2020.01.009 [DOI] [Google Scholar]
- 40.Cooke DM, McKenna K, Fleming J. Development of a standardized occupational therapy screening tool for visual perception in adults. Scand J Occup Ther. (2005) 12:59–71. doi: 10.1080/11038120410020683-1, [DOI] [PubMed] [Google Scholar]
- 41.Palomo-Carrión R, Zuil-Escobar JC, Cabrera-Guerra M, Barreda-Martínez P, Martínez-Cepa CB. Mirror therapy and action observation therapy to increase the affected upper limb functionality in children with hemiplegia: a randomized controlled trial protocol. Int J Environ Res Public Health. (2021) 18:1051. doi: 10.3390/ijerph18031051, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Man ZJ. Effect of early occupational therapy on improving living ability and quality of life in stroke patients with hemiplegia. Chin Health Nutr. (2021) 31:26 [Google Scholar]
- 43.Uswatte G, Taub E, Bowman MH, Delgado A, Bryson C, Morris DM, et al. Rehabilitation of stroke patients with plegic hands: randomized controlled trial of expanded constraint-induced movement therapy. Restor Neurol Neurosci. (2018) 36:225–44. doi: 10.3233/RNN-170792, [DOI] [PubMed] [Google Scholar]
- 44.Shinohara K, Yamada T, Kobayashi N, Forsyth K. The model of human occupation-based intervention for patients with stroke: a randomised trial. Hong Kong J Occup Ther. (2012) 22:60–9. doi: 10.1016/j.hkjot.2012.09.001 [DOI] [Google Scholar]
- 45.Egan M, Kessler D, Laporte L, Metcalfe V, Carter M. A pilot randomized controlled trial of community-based occupational therapy in late stroke rehabilitation. Top Stroke Rehabil. (2007) 14:37–45. doi: 10.1310/tsr1405-37, [DOI] [PubMed] [Google Scholar]
- 46.Wolf TJ, Chuh A, Floyd T, McInnis K, Williams E. Effectiveness of occupation-based interventions to improve areas of occupation and social participation after stroke: an evidence-based review. Am J Occup Ther. (2015) 69:6901180060p1–6901180060p690118006011. doi: 10.5014/ajot.2015.012195, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Dorstyn D, Roberts R, Kneebone I, Kennedy P, Lieu C. Systematic review of leisure therapy and its effectiveness in managing functional outcomes in stroke rehabilitation. Top Stroke Rehabil. (2014) 21:40–51. doi: 10.1310/tsr2101-40, [DOI] [PubMed] [Google Scholar]
- 48.Yamada N, Kakuda W, Kondo T, Mitani S, Shimizu M, Abo M. Local muscle injection of botulinum toxin type a synergistically improves the beneficial effects of repetitive transcranial magnetic stimulation and intensive occupational therapy in post-stroke patients with spastic upper limb hemiparesis. Eur Neurol. (2014) 72:290–8. doi: 10.1159/000365005, [DOI] [PubMed] [Google Scholar]
- 49.Hua JQ. Effect of recreational occupational therapy training on negative emotions and cognitive function in stroke patients. Reflexol Rehabil Med. (2022) 1:3 [Google Scholar]
- 50.Huang HY, Li SL, Qian XY, et al. "Study on the application of occupational therapy in the emotion of elderly patients with functional dyspepsia". In: Proceedings of the National Forum on Basic and Translational Medicine for the Elderly. Chinese Medical Association Geriatrics Branch; Chinese Gerontology Society Aging and Anti-Aging Science Committee; Chinese Geriatric Health and Translational Medicine Branch (2015) 21:40–51. [Google Scholar]
- 51.Bourgeois JA, Hilty DM, Chang CH, Wineinger MA, Servis ME. Poststroke neuropsychiatric illness: an integrated approach to diagnosis and management. Curr Treat Options Neurol. (2004) 6:403–20. doi: 10.1007/s11940-996-0031-9, [DOI] [PubMed] [Google Scholar]
- 52.Walker MF, Gladman JR, Lincoln NB, Siemonsma P, Whiteley T. Occupational therapy for stroke patients not admitted to hospital: a randomised controlled trial. Lancet. (1999) 354:278–80. doi: 10.1016/s0140-6736(98)11128-5, [DOI] [PubMed] [Google Scholar]
- 53.Vásquez-Carrasco E, Jamett-Oliva P, Hernandez-Martinez J, Riquelme-Hernández C, Villagrán-Silva F, Branco BHM, et al. Effectiveness of occupational therapy interventions on activities of daily living, cognitive function, and physical function in middle-aged and older people with chronic stroke: a systematic review with meta-analysis. J Clin Med. (2025) 14. doi: 10.3390/jcm14072197, [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Sun M, Jiang C, Zhang J, Cheng K, Zheng W, Zhang X, et al. Meta-analysis of functional electrical stimulation combined with occupational therapy on post-stroke limb functional recovery and quality of life. Cerebrovasc Dis. (2024) 53:743–52. doi: 10.1159/000535470, [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.






