Abstract

ObjectiveTo investigate opportunities for task shifting to decongest an outpatient neurology clinic in Zambia by describing current patient flow through the clinic and potential nodes for intervention using process mapping.BackgroundZambia has a population of approximately 18 million people with 4 full-time adult neurologists, as of 2018, who all practice at the University Teaching Hospital (UTH), the main tertiary care center in the country. As a result of this provider-to-patient ratio, the outpatient neurology clinic is overcrowded and overbooked. Task-shifting programs have shown to improve efficiency, access and quality of care through the use of less specialized healthcare workers in low- and middle-income countries (LMIC).MethodsWe evaluated patient flow in the UTH neurology outpatient clinic through the development and analysis of a process map. The characteristics of the clinic population between 2014 and 2018 were retrospectively reviewed from the clinic register. Between July and August 2018, we prospectively collected appointment lag times and time each patient spent waiting at various points in the clinic process. We conducted interviews with clinic staff and neurologists to generate a detailed process map of current pathways to care within the clinic. We then devised task-shifting strategies to help reduce patient wait times based on the overview of clinic process mapping and patient demographics.ResultsFrom 2014 to 2018, there were 4701 outpatients seen in the neurology clinic. The most common neurological diagnoses were epilepsy (39.2%), headache (21.5%) and cerebrovascular disease (16.7%). During prospective data collection, patients waited an average of 57.8 (SD 73.4) days to be seen by a neurologist. The average wait time from arrival in the clinic to departure was 4.0 (SD 2.5) h. The process map and interviews with clinic staff revealed long waiting times due to a paucity of providers. Nurses and clerks represent an influential stakeholder group, but are not actively involved in any activity to reduce wait times. A large proportion of follow-up patients were stable and seen solely to obtain medication refills.ConclusionsEpilepsy, headache, and stroke make up the largest percentage of outpatient neurological illness in Zambia. Targeting stable patients in these diagnostic categories for a task-shifting intervention may lead to substantially decreased patient wait times. Potential interventions include shifting clinical follow-ups and medication refills to less specialized healthcare workers.

Highlights

  • Zambia has a population of approximately 18 million people with 4 full-time adult neurologists, as of 2018, who all practice at the University Teaching Hospital (UTH), the main tertiary care center in the country

  • Epilepsy, headache, and stroke make up the largest percentage of outpatient neurological illness in Zambia

  • With an increasingly older population coupled with limited access to neurological care, the burden of neurological disease in low- and middle-income countries (LMIC) is predicted to continue to increase with a projected 103 million disability-adjusted life years (DALYs) in 2030 [1]

Read more

Summary

Introduction

Zambia has a population of approximately 18 million people with 4 full-time adult neurologists, as of 2018, who all practice at the University Teaching Hospital (UTH), the main tertiary care center in the country. With an increasingly older population coupled with limited access to neurological care, the burden of neurological disease in low- and middle-income countries (LMIC) is predicted to continue to increase with a projected 103 million DALYs in 2030 [1]. Zambia is located in southern Africa and has a high burden of neurological disease with marked delays in accessing neurological care. Its estimated population in 2016 was ~ 18 million [5] with 4 adult neurologists all of whom practice at University Teaching Hospital (UTH), the national referral hospital, in the capital city of Lusaka. As a result of this providerto-patient ratio, the outpatients:neurologist ratio is extremely high (Table 1)

Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.