Assessing socio-ecological factors on caesarean section and vaginal delivery: an extended perspective among women of South-Punjab, Pakistan

Hassan, Muhammad Muneeb; Ameeq, Muhammad; Fatima, Laraib; Naz, Sidra; Sikandar, Sheikh Muhammad; Kargbo, Alpha; Abbas, Shabana

doi:10.1080/0167482x.2023.2252983

Cited by 10 publications

(2 citation statements)

References 28 publications

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“…The analysis of data distributions and statistical approaches could support the quality control of processes [19] and the understanding of pandemic conditions [20,21]. The data cross-analysis facilitates the interpretation of the clinical choices, such as the mode of delivery choice [22]. An important upgrade of data processing is provided by machine learning (ML) techniques, decreasing the patient risks [23][24][25] and, consecutively, optimizing clinical prescreening processes [17].…”

Section: Importance Of Data Interpretations and Data Modeling In Heal...mentioning

confidence: 99%

Process Mining Organization (PMO) Modeling and Healthcare Processes

Rosa,

Massaro

2023

Knowledge

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Process mining organizatioQn (PMO) is an innovative approach based on artificial intelligence (AI) decision making suitable for designing healthcare processes for human resource (HR) organizations. The proposed work suggests some examples of PMO-based Business Process Modeling and Notation (BPMN) workflows by highlighting the advances in HR management and in risk decrease according to healthcare scenarios. Specifically proposed are different examples of “TO BE” process pipelines related to an upgrade of the organizational healthcare framework, including digital technologies and telemedicine. Important elements are provided to formulate HR management guidelines supporting PMO design. The proposed BPMN workflows are the result of different consulting actions in healthcare institutions based on the preliminary mapping of “AS IS” processes highlighting bottlenecks and needs in HR organization. A pilot experimental dataset is used to show how it is possible to apply AI algorithms providing organization corrective actions. The paper is mainly focused on discussing some validated BPMN models managing HR in the healthcare sector. The methodology is based on the application of the BPMN approach to deploy human resource organizational processes. The results show AI data-driven workflows adopted in healthcare and examples of AI fuzzy c-means outputs addressing organizational actions.

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Section: Importance Of Data Interpretations and Data Modeling In Heal...mentioning

confidence: 99%

Process Mining Organization (PMO) Modeling and Healthcare Processes

Rosa,

Massaro

2023

Knowledge

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“…Despite this positive trend, Nigeria still grapples with a maternal mortality ratio of 512 per 100,000 live births, falling considerably short of achieving the Sustainable Development Goal 3 target to reduce the global maternal mortality ratio to less than 70 per 100,000 live births by 2030 [16,19]. The decision to deliver via CS or through vaginal birth is influenced by a complex interplay of medical, cultural, social, and individual factors [20,21]. In Nigeria, where maternal and neonatal health indicators are a priority concern, understanding the perceptions and attitudes of women who have recently undergone cesarean sections is of utmost importance [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Exploring Perceptions of Cesarean Sections among Postpartum Women in Nigeria: A Qualitative Study

Michael,

Agbana,

Naidoo

2024

Women

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Cesarean sections have become increasingly common globally, including in Nigeria. This qualitative study explores the perceptions and experiences of postpartum women who underwent cesarean sections within the distinct contexts of Ibadan in Oyo State, Nigeria. In-depth interviews and focus group discussions were conducted with 24 postpartum women in selected health facilities in urban and rural areas. A diverse sample was purposively selected to capture a range of experiences based on age, residence, education, and cultural backgrounds. Thematic analysis was employed to identify patterns and themes within the data. The findings revealed diverse emotional responses among participants, ranging from relief and gratitude to disappointment and feelings of loss for not experiencing a vaginal birth. Societal pressures and cultural expectations played a significant role in influencing women’s perceptions and experiences of cesarean sections. Future childbirth preferences and support systems, including healthcare provider–patient relationships and community support, were identified as crucial factors impacting postoperative recovery. This study contributes to the understanding of women’s perceptions of cesarean sections within the local context of Ibadan, Nigeria. The findings underscore the importance of culturally sensitive healthcare practices, clear communication, and support systems to enhance the birthing experiences of women undergoing cesarean sections.

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Exploring critical factors in referral systems at different health‐care levels

Jamal,

Ahmadini,

Hassan

et al. 2024

World Med & Health Policy

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BackgroundA consistent referral system and patient patronage are the primary connections between the three tiers in the healthcare delivery system. Patients were scheduled to visit primary care clinics for the first time. Subsequently, patients are moved to more distinguished healthcare facilities to receive additional care.ObjectivesThis study aims to investigate the reasons behind patients' transfer from primary and secondary care to tertiary care, as well as the critical factors that influence these referrals.MethodsThis study employs a mixed‐methods approach to explore factors determining referral service provision across primary, secondary, and tertiary healthcare levels. Along with conducting semi‐structured interviews with healthcare professionals, we systematically examined a wealth of retrospective data on 1331 referred patients from 130 health facilities, including patient records, demographics, referral status, and clinical presentation. All statistical analysis was processed in R, and Corel Draw 12 was also used for graphical illustration.ResultsHealthcare facilities referred most emergencies to several departments, including the cardiac care unit, medical, urology, intensive care unit/emergency, obstetrics and gynaecology, children's, orthopaedic, and psychiatry. The percentage of all cases referred is displayed ward‐by‐ward; the intensive care unit/emergency wards have a high referral ratio of 65.51%, while the obstetrics and gynaecology wards have an 18.40% referral ratio.ConclusionThere is a need for increased government investments to strengthen the capacity, human resources, and availability of equipment in primary, secondary, and tertiary public health facilities to deliver quality services in order to reduce the patient referral ratio.

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Assessing socio-ecological factors on caesarean section and vaginal delivery: an extended perspective among women of South-Punjab, Pakistan

Cited by 10 publications

References 28 publications

Process Mining Organization (PMO) Modeling and Healthcare Processes

Process Mining Organization (PMO) Modeling and Healthcare Processes

Exploring Perceptions of Cesarean Sections among Postpartum Women in Nigeria: A Qualitative Study

Exploring critical factors in referral systems at different health‐care levels

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