Authors :
Fernando G. H. S.; Basnayake K. D. B.; Attanayaka A. M. T. K.; Samaranayaka K. E.; Saddasena G. M. I. O.; Niyarapola D. R. G. M.; Jayasundara P. M. C. K.
Volume/Issue :
Volume 11 - 2026, Issue 4 - April
Google Scholar :
https://tinyurl.com/mncwtaen
Scribd :
https://tinyurl.com/4xumtd5d
DOI :
https://doi.org/10.38124/ijisrt/26apr119
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Introduction:
District General Hospital Matale, a key maternal care provider in Sri Lanka, faces overcrowding despite low overall
bed occupancy. Adaptive bed management strategies were introduced to improve coordination, space use, and care
quality.
Objectives:
Evaluate and enhance bed management practices in the maternity unit of District General Hospital Matale.
Methodology:
A mixed-methods process improvement study was conducted in the maternity units of DGH Matale (Nov 2024–Aug
2025), combining quantitative bed metrics with qualitative staff and patient feedback. Thirty staff and twenty patient
participants were recruited through purposive and consecutive sampling, respectively. Interventions included daily
tracking, patient categorization, ergonomic upgrades, and inter-ward relocations, with data collected via semi-structured
questionnaires and monthly feedback sessions.
Data analysis:
Quantitative data were analyzed in IBM SPSS using appropriate parametric and non-parametric tests (t-tests,
Wilcoxon, ANOVA, Chi-square, Mann–Whitney U, Spearman correlation), with survey reliability assessed by Cronbach’s
alpha and factor analysis. Qualitative feedback from open-ended responses was thematically coded and summarized by
frequency counts to complement quantitative findings.
Result:
Inter-ward bed management improved occupancy rates across four maternity wards: Antenatal (92%), Postnatal
(25%), Gynecology (45%), and Labor (287%). Staff satisfaction was high for bed design (95%), infection control (85%),
and inter-unit communication (80%), while relocation protocols received moderate approval (45%). Patient feedback
showed 50% satisfaction with bed management and comfort, with 60% preferring low-height beds and 65% favoring
ward transfers over waiting.
Conclusion:
Adaptive bed management is key to delivering safe, efficient maternal care in resource-limited settings. At DGH
Matale, standardizing monitoring, refining relocation protocols, and upgrading infrastructure are recommended to align
capacity with demand. Staff training, ward reconfiguration, and continuous audits will support sustained quality and
operational resilience.
Keywords :
Inter-Ward, Coordination, Effective, Bed Management.
References :
- Bartlett, B. N., Vanhoudt, N. N., Wang, H., Anderson, A. A., Juliar, D. L., Bartelt, J. M., Lanz, A. D., Bhandari, P., & Anil, G. (2023). Optimizing inpatient bed management in a rural community-based hospital: a quality improvement initiative. BMC Health Services Research, 23(1), 1–10. https://doi.org/10.1186/s12913-023-10008-6
- De Souza, M. C., Souza, T. A., & Vaccaro, G. L. R. (2016). Hospital bed management: An analysis from the perspective of the theory of constraints. Espacios, 37(30).
- Garcia-Vicuña, D., López-Cheda, A., Jácome, M. A., & Mallor, F. (2023). Estimation of patient flow in hospitals using up-to-date data. Application to bed demand prediction during pandemic waves. PLOS ONE, 18(2), e0282331. https://doi.org/10.1371/journal.pone.0282331
- Ranga Sabhapathige, D. D. (2022). Challenges for Health Care In Sri Lanka. Global Sustainable Healthcare, September. https://www.researchgate.net/publication/359095619_Challenges_for_health_care_in_Sri_Lanka
- Tolf, S., Mesterton, J., Söderberg, D., Amer-Wåhlin, I., & Mazzocato, P. (2020). How can technology support quality improvement? Lessons learned from the adoption of an analytics tool for advanced performance measurement in a hospital unit. BMC Health Services Research, 20(1), 1–12. https://doi.org/10.1186/s12913-020-05622-7
Introduction:
District General Hospital Matale, a key maternal care provider in Sri Lanka, faces overcrowding despite low overall
bed occupancy. Adaptive bed management strategies were introduced to improve coordination, space use, and care
quality.
Objectives:
Evaluate and enhance bed management practices in the maternity unit of District General Hospital Matale.
Methodology:
A mixed-methods process improvement study was conducted in the maternity units of DGH Matale (Nov 2024–Aug
2025), combining quantitative bed metrics with qualitative staff and patient feedback. Thirty staff and twenty patient
participants were recruited through purposive and consecutive sampling, respectively. Interventions included daily
tracking, patient categorization, ergonomic upgrades, and inter-ward relocations, with data collected via semi-structured
questionnaires and monthly feedback sessions.
Data analysis:
Quantitative data were analyzed in IBM SPSS using appropriate parametric and non-parametric tests (t-tests,
Wilcoxon, ANOVA, Chi-square, Mann–Whitney U, Spearman correlation), with survey reliability assessed by Cronbach’s
alpha and factor analysis. Qualitative feedback from open-ended responses was thematically coded and summarized by
frequency counts to complement quantitative findings.
Result:
Inter-ward bed management improved occupancy rates across four maternity wards: Antenatal (92%), Postnatal
(25%), Gynecology (45%), and Labor (287%). Staff satisfaction was high for bed design (95%), infection control (85%),
and inter-unit communication (80%), while relocation protocols received moderate approval (45%). Patient feedback
showed 50% satisfaction with bed management and comfort, with 60% preferring low-height beds and 65% favoring
ward transfers over waiting.
Conclusion:
Adaptive bed management is key to delivering safe, efficient maternal care in resource-limited settings. At DGH
Matale, standardizing monitoring, refining relocation protocols, and upgrading infrastructure are recommended to align
capacity with demand. Staff training, ward reconfiguration, and continuous audits will support sustained quality and
operational resilience.
Keywords :
Inter-Ward, Coordination, Effective, Bed Management.