WAITING TIME ASSESSMENT OF PATIENTS CARE AT THE NNAMDI AZIKIWE UNIVERSITY TEACHING HOSPITAL, ANAMBRA STATE, NIGERIA

Patient waiting time is a key indicator of hospital efficiency and significantly influences access, satisfaction, and the patient–provider experience. Prolonged wait times at tertiary, government-owned facilities can increase stress and dissatisfaction. The study evaluated outpatient waiting times, identify local determinants of prolonged waits, and assess their association with patient ratings of service delivery. A descriptive cross-sectional study was conducted among outpatients of selected departments at NAUTH. Using multi-stage sampling followed by systematic random sampling, 463 participants completed structured questionnaires capturing estimated waiting time, perceived causes of delays, and service ratings. Data were analysed with SPSS v26. Associations were tested using Chi-square, with p<0.05 considered significant. Participants were predominantly female (65.2%), self-employed (63.5%), residents of Nnewi (63.9%), and follow-up patients (55.5%). Mean waiting time was 149.6 ± 95.9 minutes. The most commonly reported contributor to prolonged waiting was a very high patient load. Longer waiting times were associated with less favourable patient ratings of service delivery. Outpatient waiting times at this teaching hospital are frequently prolonged, negatively affecting patient perceptions of care. Strategies to optimize staffing levels and redesign patient flow such as scheduled appointments and workload redistribution are recommended to reduce waiting times and improve service experience.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-28
DOI
https://doi.org/10.5281/zenodo.20431290
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
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article

WAITING TIME ASSESSMENT OF PATIENTS CARE AT THE NNAMDI AZIKIWE UNIVERSITY TEACHING HOSPITAL, ANAMBRA STATE, NIGERIA

Gibson Ifechukwude Chiejine, Victor Ahoma Mbanuzuru, Obiageli Fidelia Emelumadu, Nneka Chidimma Duluora et al.
Zenodo (CERN European Organization for Nuclear Research)
Healthcare Operations and Scheduling Optimization
article

WAITING TIME ASSESSMENT OF PATIENTS CARE AT THE NNAMDI AZIKIWE UNIVERSITY TEACHING HOSPITAL, ANAMBRA STATE, NIGERIA

Gibson Ifechukwude Chiejine, Victor Ahoma Mbanuzuru, Obiageli Fidelia Emelumadu, Nneka Chidimma Duluora, Onyedikachi Michael Igwe, Ngozi Stella Okereke, S. Anyaoku Chinekwu, Nnaemeka Emmanuel Akubue, Chinemerem Anastasia Ogbonna, Godpower Felix Nwokocha
article en

Abstract

Patient waiting time is a key indicator of hospital efficiency and significantly influences access, satisfaction, and the patient–provider experience. Prolonged wait times at tertiary, government-owned facilities can increase stress and dissatisfaction. The study evaluated outpatient waiting times, identify local determinants of prolonged waits, and assess their association with patient ratings of service delivery. A descriptive cross-sectional study was conducted among outpatients of selected departments at NAUTH. Using multi-stage sampling followed by systematic random sampling, 463 participants completed structured questionnaires capturing estimated waiting time, perceived causes of delays, and service ratings. Data were analysed with SPSS v26. Associations were tested using Chi-square, with p<0.05 considered significant. Participants were predominantly female (65.2%), self-employed (63.5%), residents of Nnewi (63.9%), and follow-up patients (55.5%). Mean waiting time was 149.6 ± 95.9 minutes. The most commonly reported contributor to prolonged waiting was a very high patient load. Longer waiting times were associated with less favourable patient ratings of service delivery. Outpatient waiting times at this teaching hospital are frequently prolonged, negatively affecting patient perceptions of care. Strategies to optimize staffing levels and redesign patient flow such as scheduled appointments and workload redistribution are recommended to reduce waiting times and improve service experience.

Zenodo (CERN European Organization for Nuclear Research)
University of Chester (GB), Imo State University (NG), Nnamdi Azikiwe University (NG), Nnamdi Azikiwe University Teaching Hospital (NG)
Openalex Percentile: Top 4%
Healthcare Operations and Scheduling Optimization
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