Study protocol for a mixed methods approach to optimize colorectal cancer screening in Malaysia: Integrating stakeholders insights and knowledge-to-action framework

INTRODUCTION

Colorectal cancer is a growing global health concern and the number of reported cases has increased over the years. Early detection through screening is critical to improve outcomes for patients with colorectal cancer. In Malaysia, there is an urgent need to optimize the colorectal cancer screening program as uptake is limited by multiple challenges. This study aims to systematically identify and address gaps in screening service delivery to optimize the Malaysian colorectal cancer screening program.

METHODS

This study uses a mixed methods design. It focuses primarily on qualitative data to understand processes and strategies and to identify specific areas that can be improved through stakeholder engagement in the screening program. Quantitative data play a dual role in supporting the selection of participants for the qualitative study based on program monitoring data and assessing inequalities in screening and program implementation in healthcare facilities in Malaysia. Meanwhile, literature review identifies existing strategies to improve colorectal cancer screening. Additionally, the knowledge-to-action framework is integrated to ensure that the research findings lead to practical improvements to the colorectal cancer screening program.

DISCUSSION

Through this complex mix of qualitative and quantitative methods, this study will explore the complex interplay of population- and systems-level factors that influence screening rates. It involves identifying barriers to effective colorectal cancer screening in Malaysia, comparing current strategies with international best practices, and providing evidence-based recommendations to improve the local screening program.

Rapidly scalable and low-cost public health surveillance reporting system for COVID-19

OBJECTIVE

Data-driven innovations are essential in strengthening disease control. We developed a low-cost, open-source system for robust epidemiological intelligence in response to the COVID-19 crisis, prioritising scalability, reproducibility and dynamic reporting.

METHODS

A five-tiered workflow of data acquisition; processing; databasing, sharing, version control; visualisation; and monitoring was used. COVID-19 data were initially collated from press releases and then transitioned to official sources.

RESULTS

Key COVID-19 indicators were tabulated and visualised, deployed using open-source hosting in October 2022. The system demonstrated high performance, handling extensive data volumes, with a 92.5% user conversion rate, evidencing its value and adaptability.

CONCLUSION

This cost-effective, scalable solution aids health specialists and authorities in tracking disease burden, particularly in low-resource settings. Such innovations are critical in health crises like COVID-19 and adaptable to diverse health scenarios.

Propagation of a hospital-associated cluster of COVID-19 in Malaysia

BACKGROUND

Hospitals are vulnerable to COVID-19 outbreaks. Intrahospital transmission of the disease is a threat to the healthcare systems as it increases morbidity and mortality among patients. It is imperative to deepen our understanding of transmission events in hospital-associated cases of COVID-19 for timely implementation of infection prevention and control measures in the hospital in avoiding future outbreaks. We examined the use of epidemiological case investigation combined with whole genome sequencing of cases to investigate and manage a hospital-associated cluster of COVID-19 cases.

METHODS

An epidemiological investigation was conducted in a University Hospital in Malaysia from 23 March to 22 April 2020. Contact tracing, risk assessment, testing, symptom surveillance, and outbreak management were conducted following the diagnosis of a healthcare worker with SARS-CoV-2 by real-time PCR. These findings were complemented by whole genome sequencing analysis of a subset of positive cases.

RESULTS

The index case was symptomatic but did not fulfill the initial epidemiological criteria for routine screening. Contact tracing suggested epidemiological linkages of 38 cases with COVID-19. Phylogenetic analysis excluded four of these cases. This cluster included 34 cases comprising ten healthcare worker-cases, nine patient-cases, and 15 community-cases. The epidemic curve demonstrated initial intrahospital transmission that propagated into the community. The estimated median incubation period was 4.7 days (95% CI: 3.5-6.4), and the serial interval was 5.3 days (95% CI: 4.3-6.5).

CONCLUSION

The study demonstrated the contribution of integrating epidemiological investigation and whole genome sequencing in understanding disease transmission in the hospital setting. Contact tracing, risk assessment, testing, and symptom surveillance remain imperative in resource-limited settings to identify and isolate cases, thereby controlling COVID-19 outbreaks. The use of whole genome sequencing complements field investigation findings in clarifying transmission networks. The safety of a hospital population during this COVID-19 pandemic may be secured with a multidisciplinary approach, good infection control measures, effective preparedness and response plan, and individual-level compliance among the hospital population.

Perceptions of nurses on inter-shift handover: A descriptive study in Hospital Kuala Lumpur, Malaysia

INTRODUCTION

The quality of information and efficiency in the practice and care environments are important aspects of nursing care. The use of a reliable and valid scale can monitor the quality of handover and provide information for continuous improvement of practice. This study aims to describe the perception of nurses, on the domains of quality of information, efficiency, interaction and support and patient involvement.

METHOD

A cross-sectional descriptive study was conducted among 450 nurses from 37 wards in Hospital Kuala Lumpur. Nurses on shift duty were recruited by convenience sampling from the Medical, Surgery, Obstetrics & Gynaecology, Orthopaedic and Paediatric wards. Using a validated questionnaire (Handover Evaluation Scale), nurses self-rated their perceptions using a 7-point scale and provided open-ended responses to the strengths and challenges that they faced. Descriptive and inferential analyses were done while open-ended questions were summarised based on key themes.

RESULTS

A total of 414 nurses completed the survey (92.0% response rate). Nurses had an overall mean (SD) perception score of 5.01 (SD 0.56). They perceived good interaction and support during handover and on the quality of information that they received, with mean scores of 5.54 (SD 0.79) and 5.19 (SD 0.69), respectively. There was an association between the departments where the nurses worked and their overall perceptions on nursing handover (p<0.001). Interruptions being the most common theme emerged from the open-ended section.

CONCLUSION

Despite having substantial interaction and support amongst nurses, opportunities for improvements were noted. Improvements in the quality of handover information and reducing interruptions should be the main emphases as these were perceived to be essential in the current handover practices by nurses.