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  1. Singh M, Agrawal A, Sisodia D, Kasar PK, Kaur A, Datta V, et al.
    BMJ Open Qual, 2021 11;10(4).
    PMID: 34759034 DOI: 10.1136/bmjoq-2020-001131
    OBJECTIVE: The purpose was to increase use of alcoholic hand rub (AHR) in specialised newborn care unit (SNCU) to improve hand hygiene in order to reduce neonatal sepsis and mortality at Netaji Subhash Chandra Bose Medical College and Hospital, Jabalpur.

    DESIGN: A prospective interventional and observational study.

    METHODOLOGY: We formed a quality improvement (QI) team in our SNCU consisting of doctors, nurses, auxiliary staff and parents (a floating member) to improve proper use of AHR. To identify the barriers to the problem, we used fishbone analysis tool. The barriers which were not allowing the health providers to use AHR properly identified were amount of AHR in millilitres to be used per day per baby, how much and when the amount of AHR to be indented from the main store and what is the proper site to place the bottle. We used plan-do-study-act cycles to test and adapt solutions to these problems. Within 5-6 weeks of starting our project, AHR use increased from 44 mL to 92 mL per baby per day and this is sustained around 100 mL per baby per day for over 2 years now.

    RESULTS: Significant decrease in neonatal mortality was observed (reduced from median of 41.0 between August 2016 and April 2018 to 24.0 between May 2018 and December 2019). The neonates discharged alive improved from 41.2 to 52.3 as a median percentage value. The percentage of babies who were referred out and went Left Against Medical Advice (LAMA) deceased too.

    CONCLUSION: Multiple factors can lead to neonatal deaths, but the important factors are always contextual to facilities. QI methodology provides health workers with the skills to identify the major factors contributing to mortality and develop strategies to deal with them. Improving processes of care can lead to improved hand hygiene and saves lives.

  2. Salem A, Elamir H, Alfoudri H, Shamsah M, Abdelraheem S, Abdo I, et al.
    BMJ Open Qual, 2020 Nov;9(4).
    PMID: 33199287 DOI: 10.1136/bmjoq-2020-001130
    BACKGROUND: The COVID-19 pandemic represents an unprecedented challenge to healthcare systems and nations across the world. Particularly challenging are the lack of agreed-upon management guidelines and variations in practice. Our hospital is a large, secondary-care government hospital in Kuwait, which has increased its capacity by approximately 28% to manage the care of patients with COVID-19. The surge in capacity has necessitated the redeployment of staff who are not well-trained to manage such conditions. There was a great need to develop a tool to help redeployed staff in decision-making for patients with COVID-19, a tool which could also be used for training.

    METHODS: Based on the best available clinical knowledge and best practices, an eight member multidisciplinary group of clinical and quality experts undertook the development of a clinical algorithm-based toolkit to guide training and practice for the management of patients with COVID-19. The team followed Horabin and Lewis' seven-step approach in developing the algorithms and a five-step method in writing them. Moreover, we applied Rosenfeld et al's five points to each algorithm.

    RESULTS: A set of seven clinical algorithms and one illustrative layout diagram were developed. The algorithms were augmented with documentation forms, data-collection online forms and spreadsheets and an indicators' reference sheet to guide implementation and performance measurement. The final version underwent several revisions and amendments prior to approval.

    CONCLUSIONS: A large volume of published literature on the topic of COVID-19 pandemic was translated into a user-friendly, algorithm-based toolkit for the management of patients with COVID-19. This toolkit can be used for training and decision-making to improve the quality of care provided to patients with COVID-19.

  3. Khalid K, Jamaluddin R, Ismail MS
    BMJ Open Qual, 2023 Jun;12(2).
    PMID: 37277216 DOI: 10.1136/bmjoq-2022-002139
    BACKGROUND: Poor employment rate among psychiatric patients is poorly discussed.

    PURPOSE: To share our strategies in boosting employment rate among stable psychiatric patients and discuss the lessons learnt.

    PARTICULAR FOCUS: Multifaceted strategies were remodelled to ensure a three-dimensional optimisation: (1) strengthening clinical service to ensure stable disease and appropriate patient selection through battery of assessments, (2) provision of psychosocial support to boost self-esteem and foster discipline among patients through encouragement, guidance and regular monitoring by the multidisciplinary community mental health team and (3) encourage willingness and confidence among stakeholders and local market to host job opportunities to stable mental health patients.

    OVERVIEW: The yearly employment rate among our stable psychiatric patients under supported employment programme from 2020 to 2021 was 28.6% (2/7) and 30.0% (3/10), respectively. A qualitative survey found the main hindrance to recruitment were employers' scepticism on work performance, while poor work retention was due to patients' lack of specific skill set and discipline to adhere to routine. We restructured our supported employment programme by adding the role of community mental health facility to foster discipline and routine for 6 months prior to referral to a job coach. Until June 2022, two out of five patients managed to secure job positions (40.0%). Despite our efforts to improve employment with the instituted remedial strategy, we still fail to reach the minimum standard set by ministry. Future plan will focus on tailoring individual interests to a specific set of skills that match industrial expectation prior to seeking employment. Additionally, enhancing public education using social media may foster better inclusion of psychiatric patients and social acceptance.

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