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Relationship between time of referral for physiotherapy and length of stay after stroke in a Nigerian tertiary hospital: a retrospective study

Abstract

Background

Despite the known benefits of physiotherapy, the relationship between its time of referral and the length of stay (LOS) of stroke patients in developing countries has been understudied. This relationship was investigated in this study as we determined the relationships between LOS and time of referral and LOS and the number of physiotherapy sessions received.

Methods

Medical records of stroke patients admitted at Obafemi Awolowo University Teaching Hospitals Complex Ile-Ife between January 2007 and December 2016 were retrieved. Descriptive statistics were used to summarize the data, independent samples t test, and one-way analysis of variance were used to determine differences, and Pearson correlation was used to determine relationships.

Results

A total of 585 medical records were retrieved. With an inpatient mortality rate of 40.7%, only 243 case records were included in the study. The mean LOS was 17 ± 13 days, and 63.4% received inpatient physiotherapy. Patients who were referred for physiotherapy (p = 0.019) and those who utilized physiotherapy (p = 0.001) had higher LOS. Also, there were significant correlations between LOS and the time of referral for physiotherapy (r = 0.575, p = 0.001) and LOS and the number of physiotherapy sessions received (r = 0.293, p = 0.001).

Conclusions

Stroke patients who utilized physiotherapy had longer LOS. The longer the time of referral and the higher the number of physiotherapy sessions, the longer the LOS. Early referral and commencement of physiotherapy optimize physiotherapy utilization, which may reduce the LOS of stroke patients.

Introduction

Universally, there is an emphasis on establishing efficient use of health resources, especially in settings limited by funds and resources, such as developing countries [1]. This makes the use of indices such as length of stay (LOS) (defined by Rapoport et al. [2] as the period between the day of admission to the day of discharge or death) important for examining the efficiency of health institutions [3].

Although physiotherapy is an essential aspect of stroke rehabilitation [4] and has been found to reduce LOS, enhance functional outcomes, and quality of life in patients with acute or subacute conditions [5], its specific role in stroke patients’ LOS has not been extensively studied in developing countries. This situation calls for a critical study as medical-related accountability and delayed referrals can prolong patients' LOS [6, 7]. Furthermore, in countries such as Nigeria, physicians’ referrals are required before physiotherapists commence inpatient management of stroke patients, which may significantly affect the LOS.

Previous studies have reported the LOS of stroke patients in Nigeria [8, 9]. However, the relationship between LOS and the time of referral for physiotherapy was not explored. This study aimed to investigate the relationship between the time of referral for physiotherapy and LOS of stroke patients over ten years in a Nigerian tertiary hospital. Specifically, correlations between the LOS and time of referral, the number of physiotherapy sessions received, and the number of patients’ complications were determined. Also, the study compared the LOS of stroke patients and referral for physiotherapy, utilization of physiotherapy services, and some clinical characteristics of patients such as the side affected by stroke, the type of stroke, and the presence of complications.

Methods

The study was designed as a retrospective cohort study. It was conducted with a purposive sampling technique to select medical records of stroke patients admitted in the Obafemi Awolowo University Teaching Hospitals Complex (OAUTHC) between January 2007 and December 2016. Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife Osun State, is one of the first-generation teaching hospitals established by the federal government in South-west Nigeria that play crucial roles in delivering comprehensive tertiary healthcare and training for medical and allied health professionals. Its location allows patients to come from all areas of the state and other southwestern states in Nigeria.

All medical records with complete information on patients diagnosed with stroke admitted to the hospital between January 2007 and December 2016 were included in this study. Medical records of patients deficient in relevant information, including missing records, discharged against medical advice, or died while on admission, were excluded.

Information extracted from the medical records were socio-demographic characteristics (age, sex, occupation), clinical characteristics including side of stroke (right or left), type (ischemic, hemorrhagic, unspecified), neurological deficit (paresis of the extremities, aphasia, amongst others), day of onset of stroke, length of hospital stay, referral for physiotherapy, time of referral, day physiotherapy commenced, number of physiotherapy sessions received during inpatient care and number of complications (such as decubitus ulcer, deep vein thrombosis, muscle contracture, shoulder dislocation, pedal edema).

The LOS was calculated from the day of admission to the day of discharge for each patient. Referral for physiotherapy was based on the physician’s documented plan to refer the patient for physiotherapy in the patient’s medical records. The time of referral was calculated from the day of admission to the day the decision was made to refer the patients for physiotherapy. The day physiotherapy commenced was calculated from the day of admission to the day of documented evidence of physiotherapy assessment after referral. The number of physiotherapy sessions was recorded as the number of documented physiotherapy sessions for individual patients.

Ethical approval was obtained from the Ethics and Research Committee of the OAUTHC. Permission was obtained from the Deputy Director of the Department of Information and Health Management OAUTHC to access the required medical files. Relevant information was recorded using assigned numbers to protect the identity of patients included in the study.

Data analysis

Descriptive statistics of mean, standard deviation, percentage, and frequency were used to summarize the data. Independent samples t test was used to determine the differences in the LOS between patients referred and those not referred for physiotherapy, utilization of physiotherapy services, presence or absence of complications, and side of stroke (right, left). One-way analysis of variance (ANOVA) was used to determine the differences between LOS among the types of stroke (ischemic, hemorrhagic, unspecified). Pearson correlation analysis was used to determine correlations between LOS and the number of physiotherapy sessions received, time of referral (number of days from admission to referral), and the number of complications recorded. The level of significance was set at p < 0.05. IBM SPSS software version 21 was used for all data analyses.

Results

A total of 585 medical records of stroke patients admitted between January 2007 and December 2016 were retrieved. The inpatient mortality rate was 40.7%. Of the 347 medical records reviewed, 89 had missing information, and 15 recorded that patients were discharged against medical advice leaving 243 medical records in this study (Fig. 1). The mean age was 61.4 ± 14.1 years. The highest number of stroke admissions (18.1%) occurred in 2009, while the least number of stroke admissions (3.7%) was in 2015. The mean LOS for patients admitted during the 10-year study period was 17.0 ± 13.1 days. The records comprised 131 (53.9%) males and 112 (46.1%) females (Table 1). 196 (80.7%) patients were referred for inpatient physiotherapy while on admission, while 154 (63.4%) received the services. All the patients presented with at least one neurological deficit. The mean LOS was 13.0 ± 13.6 days for patients not referred for physiotherapy and 18.0 ± 12.8 days for patients referred for physiotherapy, while the mean LOS was 11.4 ± 8.9 days for patients who did not utilize physiotherapy and 19.8 ± 13.2 days for patients who utilized physiotherapy. The mean number of days physiotherapy commenced was 7 ± 6.39 days after admission (Table 2).

Fig. 1
figure 1

Flowchart of medical records of patients with stroke

Table 1 Socio-demographic characteristics of stroke patients (N = 243)
Table 2 Clinical characteristics of stroke patients (N = 243)

There was a significant difference in LOS between patients referred for physiotherapy and those not referred (t = − 2.369, p = 0.019). Also, there was a significant difference in the LOS between patients who utilized physiotherapy and patients who did not (t = 3.874, p = 0.001). Furthermore, there was a significant difference in the LOS between patients with complications and those without complications (t = − 4.688, p = 0.001) and between the types of stroke (F = 1.036, p = 0.001) (Table 3). There was a moderate positive correlation [10] between LOS and time of referral (r = 0.575, p = 0.001) (Table 4), but negligible correlations were observed between LOS and the number of physiotherapy sessions received (r = 0.0293, p = 0.001) and LOS and the number of complications (r = 0.0289, p = 0.001).

Table 3 Differences in the length of stay between side affected, referral for physiotherapy, utilization of physiotherapy services, presence of complication, and type of stroke
Table 4 Correlation between length of stay and time of referral, utilization, and complications of stroke patients

Discussion

Given the well-researched benefits of post-stroke rehabilitation in time and cost-constrained settings of health care, this study investigated the role of physiotherapy in the LOS of stroke patients in a tertiary hospital in south-west Nigeria, in terms of differences in the LOS of patients referred for physiotherapy and those who were not, as well as the correlations between the LOS, days of referral and utilization of physiotherapy.

The inpatient mortality rate was 40.7% for the 10 years reviewed. This finding is consistent with a previous study that showed that the mortality rate of stroke patients in Nigeria is high, ranging from 21 to 45% [11]. The distribution of the patients in this study, more males than females, is consistent with the findings of Njoku et al. [12] which showed that stroke is commoner in males. Furthermore, the male sex has been listed as a risk factor for stroke [13]. The mean age of stroke patients in this study (61.4 ± 14.10 years) resonated with what is found in the literature that age is a non-modifiable risk factor for stroke, increasing with each age from the fifth decade of life [14]. Although the incidence and prevalence of stroke in Nigeria have been reported to be on the increase [15] the number of cases seen per year appeared to fluctuate in our study. This fluctuation may be attributed to the various industrial actions in the country’s health sector during the different years of the study, most notably in 2013 and 2015, when multiple healthcare associations and unions were on strike [16]. This affected the admission of patients into the facility during these periods.

The LOS of stroke patients admitted in the hospital was higher than those from studies conducted in developed countries such as the USA, where LOS is less than 7 days for most stroke patients [17]. In Australia, LOS varies between 4.2 and 17.5 days, depending on the health facility of admission [18]. However, the result of this study is comparable to the findings of Desalu et al. [8] and Olaleye et al. [9] who reported the length of stay of stroke patients to be 16 days and 12 days respectively in other health facilities in south-west Nigeria. Bearing in mind that physiotherapy is provided only for patients referred by physicians in Nigeria, the referral rate of 80.7% observed for stroke patients in the study facility was high. This may suggest that the physicians in this facility were aware of the benefits of physiotherapy in improving functional recovery and independence after a stroke. However, this study showed a moderate positive correlation between the LOS and the time of referral for physiotherapy. Some clinical practice guidelines [19, 20] have recommended a period between 24 to 48 h within the onset of a stroke for the commencement of physiotherapy. However, this depends on the severity of the stroke among patients and varies with institutions and physicians.

The clinical pattern of patients in this study is consistent with clinical deficits seen in stroke; all patients in the records had at least one neurological deficit. A finding validated by the fact that stroke itself is a rapidly developing focal loss of cerebral function [21]. Therefore, the motor and sensory impairments lasting more than 24 h due to cerebral vascular disruption only corroborate the diagnosis of the pathology. A higher percentage of the patients in this study had a left-sided stroke, and this result is consistent with findings by Portegies et al. [22] that left-sided strokes are often more reported by clinicians. This study also found that ischemic stroke was the most frequently seen type of stroke during the study period. This pattern is consistent with findings in other studies [8, 23].

Our results showed differences between the LOS of patients referred for physiotherapy and those not referred, and also between patients who utilized physiotherapy and those who did not. For patients who received physiotherapy, conventional treatments [24] such as positioning, range of motion exercises, balance/postural training, mobility training, task-oriented therapy, prescription and training using assistive devices, patients, and caregivers’ education were administered daily until discharge. Patients who were referred for physiotherapy and utilized physiotherapy stayed longer in the hospital than those who were not referred or those who did not utilize physiotherapy. There was also a positive correlation between LOS and time of referral for physiotherapy. The longer the time of referral, the longer the patients stay in the hospital. This finding is comparable to a study by Hartley et al., who concluded that early physiotherapy input is associated with reduced LOS [25]. Some factors that may have contributed to the longer time of referral for these patients are delay in referral, the workup for diagnostic tests, the period of waiting for results of requested investigations before referring patients, and inefficient communication between the various health professionals, in this case, the physician and the physiotherapist [6, 7]. It might also be that the patients that stayed longer had more severe symptoms of stroke [26] that required more physiotherapy services.

Our study found no difference in the LOS between patients with right side affectation and those with the left side affected but found a difference in LOS between stroke types. Similar to our findings, a study by Somotun et al. [3] showed that patients with ischemic strokes have a slightly higher LOS than those with hemorrhagic stroke. However, contrary to their results, we found that patients with unspecified stroke types had a longer LOS than those with ischemic or hemorrhagic strokes. This finding may be attributed to a longer time spent scheduling and making payments for required investigations, carrying out case reviews, and sending intra- and interdisciplinary referrals to make accurate diagnoses and deliver best management practices to this category of patients.

The utilization of physiotherapy was low regarding the average number of sessions received by individual patients (an average of five physiotherapy sessions throughout inpatient admission). An average of 7 days was recorded before physiotherapy was commenced for patients who utilized physiotherapy. Also, more than a quarter of the patients referred for physiotherapy did not utilize the services. These may be attributed to the fact that referrals for physiotherapy come at a cost, and considering the poor financial situations of many patients in a developing country, the patients referred might not have been able to afford the fees for physiotherapy services after paying several other hospitalization bills, especially as many patients do not have any health insurance. Only about 5% of Nigerians are registered in the National Health Insurance Scheme (NHIS) [27]. Furthermore, we found a weak positive correlation between the LOS and utilization of physiotherapy in this study. These findings could have contributed to the longer LOS observed for patients in our study. Murie-Fernandez et al. [28] reported that prompt commencement of physiotherapy combined with a focus on the right intensity and required duration led to better functional outcomes with reduced length of stay and mortality rates. Also, in terms of utilization, a systematic review [29] has shown that extra physiotherapy can reduce the length of stay for adults with acute and sub-acute conditions, including stroke.

The complications documented for the stroke patients in this study are commonly described in the literature [30]. However, these did not include other common ones, such as falls [31]. This may suggests that not all complications were documented. Insufficient documentation of stroke complications might have contributed to the longer LOS. However, it could also be that these patients were not ambulating or moving out of bed, or did so under thorough supervision by health professionals. The presence of complications in stroke patients in this study is low compared to previously reported percentages in the acute phase of stroke [32]. Indredavik et al. listed pain and other complications such as urinary tract infection and pneumonia on stroke admissions as medical complications [32]. These complications were not found in the medical records included in our study, implying that these complications were not encountered or reported. In our study, patients with complications stayed longer in the hospital than patients without complications, although we found a weak correlation between LOS and the number of complications. Yet, complications have generally been found to prolong the discharge of patients from health facilities since more time is dedicated to treating and monitoring the patient during conservative management [33, 34].

This study had limitations, especially the difficulty experienced in obtaining specific information from patients’ case notes due to the available documentation. Also, the LOS was not categorized into separate intervals. Significantly, the unavailability of the specific diagnosis for some patients was why some information such as type of stroke was not recorded for all patients. Hence, some types of stroke had to be assigned to the category of “unspecified”. Also, the general use of “hemorrhagic stroke” is contained in the patients’ case files. We suggest that future studies that utilize regression analysis may be useful to determine the predictors of shorter LOS among stroke patients. Similarly, studies that examine the relationship between specific clinical diagnosis of stroke and length of stay can be carried out to improve understanding between these variables.

Conclusions

This study found that the longer the time of referral, the more prolonged the length of stay, and stroke patients who utilized physiotherapy services stayed longer in the hospital than patients who did not. Even though there was a high rate of patients’ referrals for physiotherapy, utilization was suboptimal in terms of the number of sessions received by the patients. Thus, some lapses in stroke care in a developing country were identified, including delay in referral and commencement of physiotherapy that may have devastating consequences such as prolonged LOS for patients with stroke. From the results of this study, we recommend the practice of efficient referral and commencement of physiotherapy with adequate utilization of physiotherapy in hospitals and stroke facilities in Nigeria. These affect the LOS and are necessary for improving the overall efficiency of stroke care delivery.

Availability of data and materials

The datasets generated and/or analyzed during the current study are not publicly available due to confidentiality of patients’ records but are available from the corresponding author on reasonable request.

Abbreviations

LOS:

Length of stay

OAUTHC:

Obafemi Awolowo University Teaching Hospitals Complex

ANOVA:

Analysis of variance

NHIS:

National Health Insurance Scheme

References

  1. Chisholm D, Evans DB. Improving health system efficiency as a means of moving towards universal coverage. World Health Report; 2010. p. 10–2.

    Google Scholar 

  2. Rapoport J, Teres D, Zhao Y, Lemeshow S. Length of stay data as a guide to hospital economic performance for ICU patients. Med Care. 2003:386–97. https://doi.org/10.1097/01.mlr.0000053021.93198.96.

  3. Somotun OA-A, Osungbade KO, Akinyemi OO, Obembe TA, Adeniji FI. What factors influence the average length of stay among stroke patients in a Nigerian tertiary hospital? Pan Afr Med J. 2017;26:228. https://doi.org/10.11604/pamj.2017.26.228.12249.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Kwakkel G, Kollen B, Lindeman E. Understanding the pattern of functional recovery after stroke: facts and theories. Restor Neurol Neurosci. 2004;22(3-5):281–99.

    PubMed  Google Scholar 

  5. Peiris CL, Taylor NF, Shields N. Extra physical therapy reduces patient length of stay and improves functional outcomes and quality of life in people with acute or subacute conditions: a systematic review. Arch Phys Med Rehabil. 2011;92(9):1490–500. https://doi.org/10.1016/j.apmr.2011.04.005.

    Article  PubMed  Google Scholar 

  6. Selker HP, Beshansky JR, Pauker SG, Kassirer JP. The epidemiology of delays in a teaching hospital: the development and use of a tool that detects unnecessary hospital days. Med Care. 1989:112–29. https://doi.org/10.1097/00005650-198902000-00003.

  7. da Silva SA, Valácio RA, Botelho FC, Amaral CFS. Reasons for discharge delays in teaching hospitals. Revista De Saude Publica. 2014;48(2):314–21. https://doi.org/10.1590/s0034-8910.2014048004971.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Desalu OO, Wahab KW, Fawale B, Olarenwaju TO, Busari OA, Adekoya AO, et al. A review of stroke admissions at a tertiary hospital in rural Southwestern Nigeria. Ann Afr Med. 2011;10(2):80–5. https://doi.org/10.4103/1596-3519.82061.

    Article  PubMed  Google Scholar 

  9. Olaleye OA, Lawal ZI. Utilization of physiotherapy in the continuum of stroke care at a tertiary hospital in Ibadan, Nigeria. Afr Health Sci. 2017;17(1):79–87. https://doi.org/10.4314/ahs.v17i1.11.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Mukaka MM. A guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012;24(3):69–71.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Ekeh B, Ogunniyi A, Isamade E, Ekrikpo U. Stroke mortality and its predictors in a Nigerian teaching hospital. Afr Health Sci. 2015;15(1):74–80. https://doi.org/10.4314/ahs.v15i1.10.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Njoku CH, Aduloju AB. Stroke in Sokoto, Nigeria: A five-year retrospective study. Ann Afr Med. 2004;3(2):73–6.

    Google Scholar 

  13. Haast RA, Gustafson DR, Kiliaan AJ. Sex differences in stroke. J Cereb Blood Flow Metab. 2012;32(12):2100–7. https://doi.org/10.1038/jcbfm.2012.141.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Miah MN, Azhar MA, Rahman A, Halder D, Akteruzzaman M, Kundu NC. Risk factors of stroke in young and old age group-a comparative study. J Med. 2012;13(2):138–42. https://doi.org/10.3329/jom.v13i2.12741.

    Article  Google Scholar 

  15. Wahab KW. The burden of stroke in Nigeria. Int J Stroke. 2008;3(4):290–2. https://doi.org/10.1111/j.1747-4949.2008.00217.x.

    Article  PubMed  Google Scholar 

  16. Adeloye D, David RA, Olaogun AA, Auta A, Adesokan A, Gadanya M, et al. Health workforce and governance: the crisis in Nigeria. Hum Resour Health. 2017;15(1):32. https://doi.org/10.1186/s12960-017-0205-4.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, de Ferranti DR, et al. Heart Disease and Stroke Statistics. Update: A Report from the American Heart Association. Circulation. 2017;135(10):146–603. https://doi.org/10.1161/cir.0000000000000485.

    Article  Google Scholar 

  18. Stroke average length of stay in hospital by peer group – 65 years and over [Internet]. Australia: Australian Commission on Safety and Quality in Health Care. 2015- [cited 2020 Jul 18] Available from: https://www.safetyandquality.gov.au/publications-and-resources/resource-library/australian-atlas-healthcare-variation-2015-chapter-69-stroke-average-length-stay-hospital-peer-group-65-years-and-over.

  19. Clinical Guidelines for Stroke Management [Internet]. Australia: Stroke Foundation. 2017- [cited 2020 Jul 19] Available from: https://informme.org.au/en/Guidelines/Clinical-Guidelines-for-Stroke-Management-2017.

  20. Stroke rehabilitation in adults. [Internet] United Kingdom: NICE 2013- [cited 2020 Oct 8] Available from: https://www.nice.org.uk/guidance/cg162.

  21. WHO MONICA Project Principal Investigators. The World Health Organization MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration. J Clin Epidemiol. 1988;41(2):105–14. https://doi.org/10.1016/0895-4356(88)90084-4.

    Article  Google Scholar 

  22. Portegies ML, Selwaness M, Hofman A, Koudstaal PJ, Vernooij MW, Ikram MA. Left-sided strokes are more often recognized than right-sided strokes: the Rotterdam study. Stroke. 2015;46(1):252–4. https://doi.org/10.1161/strokeaha.114.007385.

    Article  PubMed  Google Scholar 

  23. Onwuchewa A, BellGam H, Asekomeh GS. Stroke at the University of Port Harcourt Teaching Hospital, Rivers State, Nigeria. Tropical doctor. 2009;39(3):150–2. https://doi.org/10.1258/td.2008.080285.

    Article  PubMed  Google Scholar 

  24. Winstein CJ, Stein J, Arena R, Bates B, Cherney LR, Cramer SC, et al. Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2016;47(6):e98–169.

    Article  Google Scholar 

  25. Hartley PJ, Keevil VL, Alushi L, Charles RL, Conroy EB, Costello PM, et al. Earlier physical therapy input is associated with a reduced length of hospital stay and reduced care needs on discharge in frail older inpatients: an observational study. J Geriatr Phys Ther. 2019;42(2):E7–14.

    Article  Google Scholar 

  26. Kim SM, Hwang SW, Oh EH, Kang JK. Determinants of the length of stay in stroke patients. Osong Public Health Res Perspect. 2013;4(6):329–41. https://doi.org/10.1016/j.phrp.2013.10.008.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Awosusi A, Folaranmi T, Yates R. Nigeria's new government and public financing for universal health coverage. Lancet Glob Health. 2015;3(9):e514–5. https://doi.org/10.1016/s2214-109x(15)00088-1.

    Article  PubMed  Google Scholar 

  28. Murie-Fernández M, Irimia P, Martínez-Vila E, Meyer MJ, Teasell R. Neuro-rehabilitation after stroke. Neurología (English Edition). 2010;25(3):189–96.

    Article  Google Scholar 

  29. Peiris CL, Shields N, Brusco NK, Watts JJ, Taylor NF. Additional physical therapy services reduce length of stay and improve health outcomes in people with acute and subacute conditions: an updated systematic review and meta-analysis. Arch Phys Med Rehabil. 2018;99(11):2299–312. https://doi.org/10.1016/j.apmr.2018.03.005.

    Article  PubMed  Google Scholar 

  30. Quinn TJ, Paolucci S, Sunnerhagen KS, Sivenius J, Walker MF, Toni D, et al. Evidence-based stroke rehabilitation: an expanded guidance document from the European Stroke Organisation (ESO) guidelines for management of ischaemic stroke and transient ischaemic attack 2008. J Rehabil Med. 2009;41(2):99–111. https://doi.org/10.2340/16501977-0301.

    Article  PubMed  Google Scholar 

  31. Davenport RJ, Dennis MS, Wellwood I, Warlow CP. Complications after acute stroke. Stroke. 1996;27(3):415–20. https://doi.org/10.1161/01.str.27.3.415.

    Article  CAS  PubMed  Google Scholar 

  32. Indredavik B, Rohweder G, Naalsund E, Lydersen S. Medical complications in a comprehensive stroke unit and an early supported discharge service. Stroke. 2008;39(2):414–20. https://doi.org/10.1161/strokeaha.107.489294.

    Article  PubMed  Google Scholar 

  33. Lim SC, Doshi V, Castasus B, Lim JK, Mamun K. Factors causing delay in discharge of elderly patients in an acute care hospital. Ann Acad Med Singap. 2006;35(1):27.

    CAS  PubMed  Google Scholar 

  34. Van Straten A, Van der Meulen JH, Van den Bos GA, Limburg M. Length of hospital stay and discharge delays in stroke patients. Stroke. 1997;28(1):137–40. https://doi.org/10.1161/01.str.28.1.137.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors thank the staff of the Department of Information and Health Management Obafemi Awolowo University Teaching Hospitals Complex, for access to the records and information used in this study.

Funding

No financial support was received for this execution of this research.

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Authors

Contributions

JAA conceived the idea of this research. JAA carried out the data collection. JAA and AOO jointly carried out the data analysis, result interpretation, discussion, and manuscript preparation. The final version of the manuscript was read and approved by both authors.

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Correspondence to A. Aderonmu Joseph.

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Ethical approval was obtained from the Ethics and Research Committee of the OAUTHC. Permission was obtained from the Deputy Director of the Department of Information and Health Management OAUTHC, to access the required medical files. Relevant information was recorded using assigned numbers to protect the identity of patients included in the study.

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Aderonmu Joseph, A., Obembe Adebimpe, O. Relationship between time of referral for physiotherapy and length of stay after stroke in a Nigerian tertiary hospital: a retrospective study. Bull Fac Phys Ther 27, 25 (2022). https://doi.org/10.1186/s43161-022-00083-x

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