Journal of Health Statistics Reports
type: channel
description: Journal of Health Statistics Reports is an open access peer-reviewed journal from the publishers of Scientific Research and Community (SRC) which publishes articles in the form of written, video and power-point presentations from the arena of Health Statistics Reports. The journal focuses to build up accessing the complete content of articles freely from online for reader’s perusal. Article acceptance will be in the form of research, review, case reports, analysis, magazines, editorials, opinion, communications, mini-review, short communications, picturized, book review, video type and power point presentations (PPTS). Articles can be submitted through online from https://srcpublishers.com/health-statistics-reports/user/register or can send through an Email with attachment for healthreports@onlinescientificresearch.info 0.5 Impact Factor 84.5% Citations 90% Acceptance
publisher: Scientific Research and Community
language: en
publication name: Journal of Health Statistics Reports
issn: 2755-9866
items: Panksepp’s Emotions Theory and the Ritualization of the Mechanism of Play. A Case Study: Damanhur Ecospiritual Community andBattles
items: Reducing Length of Stay by Improving Timeliness and Efficiencyof Care for the Behavioral Health Patient in a Suburban EmergencyRoom
items: Interdirectional Mentoring in an Individual Interdisciplinary PhD Program: The Symbiotic Relationship Between the Student and the Committee
items: The Importance of Early Diagnosis of Ehlers-Danlos Syndrome – A Case Study and Public Health Perspective
items: Transforming Pharma with Smart Platforms: Digital Trials, Predictive Insights and Scalable Care
items: The Economic and Health Policy Impact of a Uniform National Formulary: Equity and Policy Considerations in the U.S. Using Cystic Fibrosis Treatment with Trikafta as a Cross-Comparator
items: Evaluating Health Literacy and the Intersection of Public Policy
items: Achieving Joint Commission International Accreditation in War Times: Challenges Towards Excellence
items: Application of Quantile Regression and Ordinary Least Squares Regression in Modeling Body Mass Index in Federal Medical Centre Jalingo
items: Evaluating Health Literacy and Community Health Workers: An Interdisciplinary Approach
items: Recognising Oral Health as a Public Heath Issue
items: Nurses as Leaders in Healthcare. The Impact of Advanced Education and Training on Leadership and Managerial Skills
items: Workday Prism for Executive Dashboards: A Complete View of Organizational Health
items: Advantages of Strengthening the Long-Term Care Facilities’Networking with Hospitals and Community Services
items: Knowledge, Attitude, and Prevention Practice Towards Scabies Among Haramaya University Health and Medical Science Students, Harar, Ethiopia 2022
items: On Inference of Weitzman Overlapping Coefficient in Two Weibull Distributions
items: Understanding the Impact and Limitations of Medicare: A Comprehensive Analysis
items: Gender based Disparities in Healthcare in Developing Nations- A Comprehensive Review
items: Micro Level Analysis on Health Insurance Enrolment among Selected Women in Ghana: Barriers and Predictors
items: Four Years Experience with 1940NM Diode Laser and Total EVLA Method. Short Term Outcomes
items: A Review on Building Knowledge Graphs from Scanned Textual Data in Medical Literature for Structured Insights
items: Adoption of Care Management Applications in Healthcare
items: Comparative Analysis of Energy Consumption (kcal) among Publicand Private Secondary School Students in Lagos State, Nigeria
items: A Study of Reliability of Mid Upper Arm Circumference for Detection of Severe Acute Malnutrition in Infants Between 1-<6months of Age
items: Primary Cutaneous Mucinous Carcinoma of the Eyelid: A Case Report
items: Sanitation Facilities, Services and Education in North-Eastern Nigeria
items: Analytical Optimization of X-ray Mammography for Increased Benefits and Safety; using: Data Analytics, Electronics Engineering and Artificial Intelligence
items: Predictive Patient Readmission Risk Using Salesforce Health Cloud
items: Forecast of Number of Malaria Cases in Ligula Referral Hospital in Mtwara, Tanzania
items: Optimizing Physician Lifecycle Management: Streamlining Processeswith BPM Tools in Healthcare

Panksepp’s Emotions Theory and the Ritualization of the Mechanism of Play. A Case Study: Damanhur Ecospiritual Community andBattles
type: item
description: Scientific research has shown, for several years now, that well-regulated affective experiences foster the integration and differentiation of interconnections between neural networks. Therefore, they enable the development of flexibility, stability, and coherence within the global mind-brain-body system in its ongoing processes of adaptation [1,2].
subject: Articles
  topic: section
subject: Panksepp’s Emotions Theory
  topic: keywords
creator: Patrizia Rosso
creator: Rossana de Angelis
creator: Munih Rosso
creator: Camilla Zurlo
creator: Massimo Chiaffredo
rights: Copyright (c) 2026 Journal of Health Statistics Reports
date: 2026-02-11
publication date: 2026-02-11
starting page: 1
ending page: 7
doi: 10.47363/JHSR/2026(5)136

Reducing Length of Stay by Improving Timeliness and Efficiencyof Care for the Behavioral Health Patient in a Suburban EmergencyRoom
type: item
description: Background: The average length of stay for BH patients has exceeded the Joint Commission recommended guideline that boarding time not exceed 4 hours. This has posed a threat to staff safety and hamper with patient care. Local Problem: With the closure of several treatment centers and psychiatric units, XXXX Center has experienced a 17% increase in patients over the past year. The average length of stay for behavioral health patient is 460 minutes. The aim of this project was to reduce length of stay by improving timeliness and efficiency of care for behavioral health patients in the emergency room through the use of an anxiety screening tool and standardization of medications by 45% within 90 days. Methods: Rapid cycle quality improvement using four plan-do-study-act cycles. Each cycle included tests of change related to team engagement, patient engagement, and two processes. Data were analyzed using run charts to evaluate the impact of interventions on outcomes. Interventions: Staff training/ team meeting, pilot shared decision-making tool, utilization of anxiety screening tool and standardized medication tool. Results: Re-enforcing de-escalation techniques through role plays and simulations, helping patients commit to outpatient services by initiating referral appointments, and expanding the availability of anxiety and medication tools has contributed to reducing LOS from 460 minutes to 122 minutes. Conclusions: Incorporating simulations and role play in staff training, making outpatient referral appointments, increasing screening days and the use of a standardized medication tool has decreased the length of stay for behavioral health patients.
subject: Articles
  topic: section
subject: Quality Improvement
  topic: keywords
subject: Length of Stay
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Timeliness
  topic: keywords
subject: Behavioral
  topic: keywords
creator: Randy M Pellew
rights: Copyright (c) 2026 Journal of Health Statistics Reports
date: 2026-01-21
publication date: 2026-01-21
starting page: 1
ending page: 5
doi: 10.47363/JHSR/2026(5)135

Interdirectional Mentoring in an Individual Interdisciplinary PhD Program: The Symbiotic Relationship Between the Student and the Committee
type: item
description: The mentoring relationship between a PhD (Doctor of Philosophy) student and their advisory committee is paramount in the student’s academic and professional journey. Mentorship is an essential element in the Individual Interdisciplinary PhD (IIP), where navigating the blurred but often complex lines of disciplinary boundaries is expected, if not essential. This analysis describes how mentoring has evolved from the top-down approach to a co-constructed paradigm within the context of the IIP. This study examines how roles, responsibilities, attitudes, and the transfer of knowledge shape relationships and foster camaraderie, intellectual growth, innovative initiatives, and professional development, ultimately producing rich dialogue and scholarship. The study suggests best practices for optimal mentoring in interdisciplinary research settings and provides examples of application in public health and healthcare studies.
subject: Articles
  topic: section
subject: Collaborative
  topic: keywords
subject: Individual Interdisciplinary
  topic: keywords
subject: Interdirectional Mentoring
  topic: keywords
subject: Mentoring
  topic: keywords
subject: Student and Committee Relationship
  topic: keywords
creator: Michal J Plavsa
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-10-29
publication date: 2025-10-29
starting page: 1
ending page: 4
doi: 10.47363/JHSR/2025(4)134

The Importance of Early Diagnosis of Ehlers-Danlos Syndrome – A Case Study and Public Health Perspective
type: item
description: Ehlers-Danlos Syndrome (EDS) is a rare, inherited connective tissue disorder, frequently diagnosed with significant delay due to fragmented care and lack of coordination among specialists. We present the case of a 35-year-old woman whose EDS diagnosis was established 17 years after the onset of symptoms. Despite numerous specialist consultations, the focus on isolated symptoms without a holistic approach led to prolonged diagnostic neglect. This case highlights the crucial role of the family physician as a care coordinator, integrating clinical data from various fields and adopting a holistic view of the patient. Early detection of rare diseases such as EDS is vital for public health—it shortens the time to diagnosis, improves patient quality of life, and optimizes healthcare resource utilization. Our analysis underscores the urgent need for systemic solutions: better care coordination, development of integrated medical data tools, and enhanced education of physicians in rare diseases, especially at the primary care level.
subject: Articles
  topic: section
subject: Ehlers-Danlos Syndrome
  topic: keywords
subject: Connective Tissue Disease
  topic: keywords
subject: Skin Hyperelasticity
  topic: keywords
subject: Joint Hyperextension
  topic: keywords
subject: Hemorrhagic Spots
  topic: keywords
subject: Petechiae
  topic: keywords
subject: Vascular Fragility
  topic: keywords
subject: Hemorrhagic Diathesis
  topic: keywords
subject: Rare Diseases
  topic: keywords
subject: Joint Hypermobility
  topic: keywords
creator: Agata Kulkowska-Gaj
creator: Katarzyna Łyp
creator: Paweł Szajkowski
creator: Ewa Gancek
creator: Katarzyna Bębnowicz
creator: Monika Drzazga
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-10-09
publication date: 2025-10-09
starting page: 1
ending page: 7
doi: 10.47363/JHSR/2025(4)133

Transforming Pharma with Smart Platforms: Digital Trials, Predictive Insights and Scalable Care
type: item
description: Clinical trials remain the costliest and slowest stage of drug development, with average costs exceeding USD 2 billion per approved drug and timelines often surpassing a decade. Recruitment inefficiencies, high dropout rates, and limited diagnostic integration exacerbate this burden. While decentralized clinical trials (DCTs) promise to reduce patient burden and broaden access, most remain fragmented, with wearables, apps, and telemedicine solutions operating in silos. This paper introduces LifeLens™, an AI-enabled multimodal diagnostic device embedded in the CloudHub Smart Clinical Trial Platform. LifeLens unifies diagnostics across oncology, ophthalmology, and dermatology. Using lung cancer as a representative example, LifeLens enables a diagnostic continuum: symptom triage → lung auscultation → CT/X-ray AI analysis → histopathology confirmation. Additional modules support diabetic retinopathy (DR) screening via fundus imaging and dermatology detection of >50 skin conditions. Our evaluations demonstrate that LifeLens and the broader CloudHub ecosystem can: Reduce trial operational costs by 30–40%, Accelerate recruitment by 30–50%, Shorten time-to-market by 6–12 months Improve patient retention to >90%. We conclude that multimodal, AI-driven diagnostic platforms represent the foundation of DCT 2.0, enabling unified diagnostics, predictive insights, compliance automation, and equitable global access.
subject: Articles
  topic: section
subject: Transforming Pharma
  topic: keywords
subject: Smart Platforms
  topic: keywords
subject: Digital Trials, Predictive Insights and Scalable Care
  topic: keywords
creator: Susant Mallick
creator: Archana Mallick
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-09-26
publication date: 2025-09-26
starting page: 1
ending page: 5
doi: 10.47363/JHSR/2025(4)132

The Economic and Health Policy Impact of a Uniform National Formulary: Equity and Policy Considerations in the U.S. Using Cystic Fibrosis Treatment with Trikafta as a Cross-Comparator
type: item
description: Background: Access to essential medications is critical for an equitable healthcare system, yet the absence of a Uniform National Formulary (UNF) in the U.S. has led to disparities in drug affordability and access. Unlike New Zealand’s Pharmac and Australia’s PBS, which centralize price negotiations and costeffectiveness evaluations, the U.S. relies on a fragmented system controlled by private insurers, PBMs, and Medicare Part D, resulting in inconsistent drug coverage and financial barriers. Using Trikafta (Elexacaftor/Tezacaftor/Ivacaftor) for Cystic Fibrosis (CF) as a case study, we explored how adopting elements of Pharmac and PBS could improve affordability. While the Inflation Reduction Act (IRA) of 2022 introduced Medicare drug price negotiations, Trikafta remains excluded, underscoring the need for policy reform. Methods: We conducted a comparative policy analysis to assess the economic and health policy implications of a Uniform National Formulary (UNF) in the U.S. It examines New Zealand’s Pharmac and Australia’s PBS as case studies, evaluates the fragmented U.S. formulary system, and compares Cystic Fibrosis (CF) treatment accessibility, focusing on Trikafta pricing and affordability. The analysis assesses cost-sharing structures, formulary decision-making, and regulatory frameworks across the three systems. Additionally, it explores the political and equity considerations of a U.S. national formulary, analyzing policy reports, government data, and peer-reviewed research to provide evidence-based recommendations for improving drug affordability and access. Results: We examined the economic and policy implications of a Uniform National Formulary (UNF) by comparing Trikafta access for Cystic Fibrosis (CF) patients across New Zealand (Pharmac), Australia (PBS), and the U.S. (Medicare Part D). Pharmac fully subsidizes Trikafta ($0–$5 per prescription), PBS offers fixed co-pays ($31.60, $7.70 concession), while U.S. patients pay $67–$321 under Medicare Part D.…
subject: Articles
  topic: section
subject: Uniform National Formulary
  topic: keywords
subject: Drug Affordability
  topic: keywords
subject: Price Negotiations
  topic: keywords
subject: Policy Reform
  topic: keywords
creator: Vishwanauth Persaud
creator: Joel Ayeni
creator: Daniel Ehlke
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-09-02
publication date: 2025-09-02
starting page: 1
ending page: 8
doi: 10.47363/JHSR/2025(4)130

Evaluating Health Literacy and the Intersection of Public Policy
type: item
description: Health literacy (HL), is how people find, understand, and use information to make informed health-related decisions. HL is a determinant of individual and population health. This article examines the intersection of HL and public policy, and discusses how strategic policymaking can enhance HL and improve health outcomes. Drawing on theoretical frameworks such as Nutbeam’s Model of Health Literacy, the Elaboration Likelihood Model, and the Theory of Planned Behavior, we explore how HL influences health behaviors, healthcare utilization, and patient engagement. We also review global policy initiatives, including national HL strategies in the European Union, Australia, China, and the United States. Case studies and public health campaigns, such those related to tobacco control and COVID-19 communication efforts, are analyzed to illustrate best practices and the effectiveness of policy. Despite progress, significant challenges persist, including health disparities, misinformation, and barriers to policy implementation. We conclude with recommendations to strengthen HL through education, accessibility, stakeholder collaboration, and media literacy. A systems-level approach is crucial for reducing health inequities and promoting informed decision-making across diverse populations.
subject: Articles
  topic: section
subject: Collaboration
  topic: keywords
subject: Education
  topic: keywords
subject: Elaboration
  topic: keywords
subject: Likelihood Model
  topic: keywords
subject: Health Literacy
  topic: keywords
subject: Partnerships
  topic: keywords
subject: Policymaking
  topic: keywords
subject: Public Health
  topic: keywords
subject: Theory of Planned Behavior
  topic: keywords
creator: Michal J Plavsa
creator: Kaitlyn M Searls
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-07-17
publication date: 2025-07-17
starting page: 1
ending page: 5
doi: 10.47363/JHSR/2025(4)129

Achieving Joint Commission International Accreditation in War Times: Challenges Towards Excellence
type: item
description: This article describes the process of achieving Joint Commission International (JCI) accreditation at a 300-bed academic medical center in Beirut, Lebanon, during a period of severe national crisis and namely the 2024 war. The hospital was facing significant staff and resource shortages due to economic instability, and was suffering the destructive aftermath of the 2020 Beirut port explosion, and then came the escalation of armed conflict throughout the year 2024. Despite these adversities, Saint George Hospital University Medical Center pursued and successfully achieved JCI accreditation, driven by a longstanding commitment to quality and patient’s safety, serving the community for over 145 years. We describe the strategies employed in an institution with 48 departments, 1600 employees, to overcome resistance, maintain operations, and foster staff engagement under crisis and war conditions, as well as the outcomes and lessons learned through this process towards success.
subject: Articles
  topic: section
subject: Joint Commission
  topic: keywords
subject: JCI Accreditation
  topic: keywords
subject: Hospital Quality
  topic: keywords
subject: Patient Safety
  topic: keywords
subject: Crisis Management
  topic: keywords
subject: Lebanon
  topic: keywords
subject: Healthcare Leadership
  topic: keywords
subject: Emergency Plan
  topic: keywords
subject: War
  topic: keywords
creator: Carla Sawan
creator: Marwan Najjar
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-05-22
publication date: 2025-05-22
starting page: 1
ending page: 3
doi: 10.47363/JHSR/2025(4)126

Application of Quantile Regression and Ordinary Least Squares Regression in Modeling Body Mass Index in Federal Medical Centre Jalingo
type: item
description: Body mass index is a measure of nutritional status of an individual. Malnutrition is a leading public health problem in developing countries like Nigeria, it is also a major cause of morbidity and mortality. In this study, Body mass index is modeled using ordinary least squares method and quantile regression method. Data is collected from Antiretroviral therapy Clinic in Federal Medical Centre, Jalingo. Variables in the data collected are the Body mass index, age, weight, height, sex and occupation of the patients. Results showed that the ordinary least square regression and quantile regression at 25th percentile, median percentile, 75th percentile and 95th percentile fit the data. Weight, age, sex and height of patients are significant in determining the BMI of the patients when OLS method is applied. While weight, sex and height of patients are significant in determining the BMI of the patients. It is also discovered that OLS method fits the data more than quantile regression method using AIC and MSE.
subject: Articles
  topic: section
subject: Body Mass Index (BMI)
  topic: keywords
subject: Ordinary Least Squares (OLS)
  topic: keywords
subject: Quantile Regression
  topic: keywords
subject: Modeling
  topic: keywords
subject: Akaike Information Criterion (AIC)
  topic: keywords
creator: Adeniyi Oyewole Ogunmola
creator: Benjamin Ekene Okoye
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-04-26
publication date: 2025-04-26
starting page: 1
ending page: 3
doi: 10.47363/JHSR/2025(4)131

Evaluating Health Literacy and Community Health Workers: An Interdisciplinary Approach
type: item
description: Health literacy is a multifaceted concept that describes how people access, understand, and use health information to make decisions about their health. Low health literacy is linked to negative health outcomes, higher healthcare costs, medication errors, and widened health disparities. This study recognized the importance of health literacy. It focused on the role of Community Health Workers (CHWs) in addressing and improving health literacy in their scope of practice and within communities. Personal health literacy is a critical determinant of individual and community well-being. CHWs build connections between healthcare providers and the people they serve, playing a key role in promoting health literacy and addressing health disparities. This study synthesized existing literature, examined interventions and research, and evaluated a targeted intervention designed for CHW trainees. The intervention focused on enhancing knowledge in health literacy, building skills for effective patient communication, and identified challenges and opportunities for CHWs to enhance health literacy and improve community health outcomes. Pre- and post-intervention assessments measured trainees’ confidence in their health literacy levels. This quasi-experimental research design can inform how when adequately trained, CHWs can effectively advocate health literacy, reduce disparities, and improve health outcomes. Also noted are implications for future interventions and training programs, emphasizing the importance of interdisciplinary collaboration and policy support to strengthen the role of CHWs in public health.
subject: Articles
  topic: section
subject: Advocacy
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Cultural Competence
  topic: keywords
subject: Disparities
  topic: keywords
subject: Healthcare Access
  topic: keywords
subject: Health Education
  topic: keywords
subject: Health Literacy
  topic: keywords
subject: Interdisciplinary
  topic: keywords
creator: Michal J Plavsa
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-03-12
publication date: 2025-03-12
starting page: 1
ending page: 7
doi: 10.47363/JHSR/2025(4)125

Recognising Oral Health as a Public Heath Issue
type: item
description: Oral health encompasses the well-being of the teeth, gums, and the entire oral-facial system that enables functions like speaking, smiling, and chewing. Poor oral health can lead to dental caries (tooth decay), periodontal (gum) diseases, tooth loss, and oral cancers. These conditions are not only painful but also contribute to difficulties in eating, speaking, and social interactions, thereby diminishing quality of life. Moreover, emerging research highlights connections between oral health and systemic conditions such as cardiovascular diseases, diabetes, and adverse pregnancy outcomes. For these reasons World Health Organisation calls for oral health to be promoted through a common risk factor approach. It is about recognising oral health as a health issue public health to promote it and reduce social health inequalities.
subject: Articles
  topic: section
subject: Oral Health
  topic: keywords
subject: Public Health
  topic: keywords
subject: Dental Education
  topic: keywords
creator: Adel Bouguezzi
creator: Hajer Hentati
creator: Jamil Selmi
creator: Mohamed Salah Khalfi
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-01-31
publication date: 2025-01-31
starting page: 1
ending page: 3
doi: 10.47363/JHSR/2025(4)127

Nurses as Leaders in Healthcare. The Impact of Advanced Education and Training on Leadership and Managerial Skills
type: item
description: This study explores the impact of advanced education and training on the leadership and managerial skills of nurses in Albania. The use of advanced training and the development of leadership skills are crucial for improving healthcare services and managing healthcare teams. In this study, 350 nurses working primarily at the University Hospital Center “Mother Teresa” (QSUT) and in primary healthcare centers in Tirana, Albania, were interviewed during the period from July to December 2024. Statistical analysis indicates that advanced training has a significant impact on improving the leadership and managerial skills of nurses, with notable improvements observed in those who had undergone advanced training.
subject: Articles
  topic: section
subject: Nurses
  topic: keywords
subject: Leadership in Healthcare
  topic: keywords
subject: Education and Training
  topic: keywords
subject: Healthcare Management
  topic: keywords
subject: Health Policies
  topic: keywords
creator: Mirela Tushe
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2025-02-20
publication date: 2025-02-20
starting page: 1
ending page: 4
doi: 10.47363/JHSR/2025(4)128

Workday Prism for Executive Dashboards: A Complete View of Organizational Health
type: item
description: As organizations become more data-driven, executives require real-time, comprehensive insights to drive informed strategic decisions. This paper examines the role of Workday Prism Analytics in providing dynamic, executive dashboards that offer a complete view of organizational health. By integrating both internal Workday data and external data sources, Workday Prism enables businesses to create powerful dashboards that synthesize information across HR, finance, and operations. These executive dashboards streamline performance management, enhance decision-making, and provide actionable insights to improve business outcomes. The paper discusses how organizations can combine and blend various data sources using Workday Prism’s data pipeline functionality, and how these insights are delivered to report consumers, offering a holistic view of the organization’s performance. Through a focus on real-time analytics and data integration, Workday Prism supports executives in fostering organizational agility, improving competitiveness, and optimizing overall business health.
subject: Articles
  topic: section
subject: Workday Prism
  topic: keywords
subject: Real-Time Analytics
  topic: keywords
subject: Predictive Analytics
  topic: keywords
subject: Data Integration
  topic: keywords
subject: ERP
  topic: keywords
subject: Analytics
  topic: keywords
subject: BI
  topic: keywords
creator: Monu Sharma
rights: Copyright (c) 2024 Journal of Health Statistics Reports
date: 2024-10-21
publication date: 2024-10-21
starting page: 1
ending page: 4
doi: 10.47363/JHSR/2024(3)E111

Advantages of Strengthening the Long-Term Care Facilities’Networking with Hospitals and Community Services
type: item
description: Although people live longer in developed countries, it may not be the quality metric for healthy living. This rapid aging is concerning due to the unmet psychosocial needs and the diagnosed and potential chronic disease conditions. Furthermore, despite the government, policymakers, and researchers tirelessly trying to design modern long-term care services to meet the dual needs of the aging population, such as psychosocial and medical needs, progress is being limited. Unfortunately, as much as every person wishes to age in their comfort home, community living is not ideal for everyone due to their complex needs and family circumstances. Therefore, at present, around 1.3 million elderly and other dependent populations are living in more than united states certified nursing homes. Where these nursing homes serve as temporary residences for some of them until they recover and for some as permanent residences due to homelessness and poverty [1]. However, most of these nursing homes in the United States are cited as a concern for the quality. Therefore, the author wants to gain insight into strengthening long-term care networking with broader healthcare settings such as hospitals and community-based services contribution to the quality of nursing home care.
subject: Articles
  topic: section
subject: Strengthening
  topic: keywords
subject: Long-Term Care Facilities
  topic: keywords
subject: Networking with Hospitals
  topic: keywords
subject: Community Services
  topic: keywords
creator: Pavani Kottapalli
rights: Copyright (c) 2024 Journal of Health Statistics Reports
date: 2024-11-20
publication date: 2024-11-20
starting page: 1
ending page: 2
doi: 10.47363/JHSR/2024(3)E103

Knowledge, Attitude, and Prevention Practice Towards Scabies Among Haramaya University Health and Medical Science Students, Harar, Ethiopia 2022
type: item
description: Background: Scabies is a skin disease caused by infestation and sensitization to Sarcoptes scabies mites and is an endemic in tropical and subtropical areas. It is a common skin infestation, endemic in developing countries, usually affecting families and large groups of people living together. Objective: The study was aimed to assess Knowledge, attitude, and prevention practice towards scabies among Haramaya university health and medical science students, Harar, Ethiopia, 2022. Methods: Institutional -based Cross-sectional study was conducted from April 25- May 21, 2022 among 417 randomly selected students. Self-administered questioner was used to collect data. The collected data was entered into SPSS version 22 for analysis. Descriptive and analytic data was used to present the finding. Result: Approximately 62.85% of the students demonstrated a high understanding of scabies, encompassing its transmission, symptoms, and prevention methods. Conversely, 6.1% exhibited poor knowledge. A finding of attitudes towards scabies among students only 36.7% demonstrating good attitude towards the condition. The data provided underscores a significant variation in scabies prevention practices among students with 65.8% exhibiting good practices. Conclusion: The study highlights the importance of continuous education and awareness programs to enhance knowledge and attitudes, which in turn can lead to better practices. It also underscores the need for targeted interventions to address the gaps identified in both knowledge levels and attitudes to foster a more proactive approach to scabies prevention and management. The findings serve as a valuable benchmark for the university and health authorities to develop tailored strategies that can improve health outcomes related to scabies within the community.
subject: Articles
  topic: section
subject: Attitude
  topic: keywords
subject: Knowledge
  topic: keywords
subject: Practice
  topic: keywords
subject: Scabies
  topic: keywords
creator: Yideg Abinew
creator: Addisu Simachew
creator: Yeshimebet Fenta
creator: Hiwot Nahusenay
creator: Misganaw Alelign
rights: Copyright (c) 2024 Journal of Health Statistics Reports
date: 2024-09-30
publication date: 2024-09-30
starting page: 1
ending page: 6
doi: 10.47363/JHSR/2024(3)124

On Inference of Weitzman Overlapping Coefficient in Two Weibull Distributions
type: item
description: Studying overlapping coefficients has recently become of great benefit, especially after its use in goodness-of-fit tests. These coefficients are defined as the amount of similarity between two statistical distributions. This research examines the estimation of one of these overlapping coefficients, which is the Weitzman coefficient ∆, assuming two Weibull distributions and without using any restrictions on the parameters of these distributions. We studied the relative bias and relative mean square error of the resulting estimator by implementing a simulation study. The results show the importance of the resulting estimator.
subject: Articles
  topic: section
subject: Weitzman Overlapping Coefficient
  topic: keywords
subject: Maximum Likelihood Method
  topic: keywords
subject: Parametric Method
  topic: keywords
subject: Weibull Distribution
  topic: keywords
subject: Relative Bias
  topic: keywords
subject: Relative Mean Square Error
  topic: keywords
creator: Hala Y Maqableh
creator: Omar M Eidous
rights: Copyright (c) 2024 Journal of Health Statistics Reports
date: 2024-09-05
publication date: 2024-09-05
starting page: 1
ending page: 6
doi: 10.47363/JHSR/2024(3)122

Understanding the Impact and Limitations of Medicare: A Comprehensive Analysis
type: item
description: This paper provides a comprehensive analysis of Medicare, the federal health insurance program in the United States, focusing on its impact, limitations, comparisons with other healthcare plans, and strategies for cost control. Medicare plays a vital role in providing coverage for individuals aged 65 and older, as well as certain younger people with disabilities, offering various parts such as hospital insurance, medical insurance, Medicare Advantage, and prescription drug coverage. While Medicare ensures access to essential healthcare services, it faces challenges like coverage gaps, out-of-pocket costs, and disparities in access to care. By examining the multifaceted impact of Medicare on patients, physicians, payers, and the healthcare system, this analysis underscores the need for ongoing improvements to enhance quality of care, address limitations, and promote equitable access to healthcare services. Comparisons with other healthcare plans and proposed strategies for cost control highlight the importance of optimizing Medicare to achieve better health outcomes and ensure the sustainability of the program for all beneficiaries.
subject: Articles
  topic: section
subject: Medicare
  topic: keywords
subject: Federal Health Insurance Program
  topic: keywords
subject: Healthcare Coverage
  topic: keywords
subject: Cost Control
  topic: keywords
subject: Access to Care
  topic: keywords
subject: Quality of Care
  topic: keywords
subject: Beneficiaries
  topic: keywords
subject: Coverage Gaps
  topic: keywords
subject: Out-of-Pocket Costs
  topic: keywords
subject: Disparities
  topic: keywords
subject: Healthcare Plans
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Nazim N Haider
rights: Copyright (c) 2025 Journal of Health Statistics Reports
date: 2024-05-20
publication date: 2024-05-20
starting page: 1
ending page: 4
doi: 10.47363/JHSR/2024(3)121

Gender based Disparities in Healthcare in Developing Nations- A Comprehensive Review
type: item
description: Gender plays a pivotal role in healthcare access and outcomes with disparities, particularly in developing countries. The lack of education, systematic discrimination, lack of access to financial resources, religious and cultural beliefs are some of the reasons why women in particular face challenges to the access to basic health care services in the developing nations. Lack of support from families and spouses in general due to the social norms established is another reason why there is delayed in seeking medical diagnosis and treatment leading to worsening of condition or death in many cases. To promote gender-sensitive healthcare access and ensure health equity requires a multi-step approach from promoting education and healthcare awareness, policy reforms, member outreaches, access to basic needs such as food and safe drinking water. Through these efforts, there is possibility to reduce the disparities that exist in the current healthcare system and promote access to quality healthcare. This article explores how gender intersects with healthcare in these nations shedding light on the issues and obstacles faced by women. Additionally, the article aims to showcase gender-based approaches that can be implemented to provide targeted programs and strategies for addressing the challenges mentioned. This will be achieved through analysis of case studies and existing literature.
subject: Articles
  topic: section
subject: Disparity
  topic: keywords
subject: Gender Equality
  topic: keywords
subject: Feminism
  topic: keywords
subject: Childbirth
  topic: keywords
subject: Reproductive Rights
  topic: keywords
subject: Developing Nations
  topic: keywords
subject: Nego Feminism
  topic: keywords
creator: Swapna Nadakuditi
rights: Copyright (c) 2024 Journal of Health Statistics Reports
date: 2024-01-22
publication date: 2024-01-22
starting page: 1
ending page: 3
doi: 10.47363/JHSR/2024(3)120

Micro Level Analysis on Health Insurance Enrolment among Selected Women in Ghana: Barriers and Predictors
type: item
description: Background: The enrolment onto a health insurance scheme is a viable means of improving access and utilisation of healthcare services which play critical roles in efforts to attain universal health coverage in most countries for which Ghana is inclusive. However, at the micro level, there appears to be inequitable patterns of health insurance enrolment based on gender, and contextual factors. To account for these disparities, the Micro Indicator Cluster Survey (MICS) 2017/2018 was conducted to investigate, inter alia, women enrolment on national health insurance services, and the reasons behind non-enrolment of women in the reproductive ages on health insurance schemes. Thus, this paper explores the barriers and predictors of health insurance enrolment in Ghana using data obtained from a nationality representative micro indicator cluster survey. Methods: Based on health insurance enrolment trajectories, this paper comprehensively investigates the predictors of health insurance enrolment at the micro level among 9,533 women between the ages of 15 years to 49 years in Ghana using data from MICS 2017/2018 which was made available for public access in 2020. Specific items relating to health insurance enrolment which is the independent variable, and contextual and compositions factors were selected in line with relevant literature as predictors to conduct an ordinal logistic regression analysis. Findings: The findings revealed that lack of money or funds, perceived irrelevance of the scheme, relative far proximity to registration centres, and lack of confidence in the operation of health insurance services accounted for the major barriers to non-enrolment. In all, the parameters under wealth index quintile were the most significant predictors of health insurance enrolment in this study. The poorest wealth quintile exhibited the highest odd ratio of 4.655 with lower bound value of 3.873 and an upper bound of 5.595 at p value of <0.001. In sum, the higher odd ratios and st…
subject: Articles
  topic: section
subject: Micro Indicator Cluster Study
  topic: keywords
subject: Odd Ratio
  topic: keywords
subject: Confidence Interval
  topic: keywords
creator: Richard Boateng
rights: Copyright (c) 2024 Journal of Health Statistics Reports
date: 2024-01-16
publication date: 2024-01-16
starting page: 1
ending page: 5
doi: 10.47363/JHSR/2024(3)123

Four Years Experience with 1940NM Diode Laser and Total EVLA Method. Short Term Outcomes
type: item
description: Background: The use of endovenous laser ablation (EVLA) combined with other techniques, typically miniphlebectomy, is recommended to avoid undesirable complications. We decided to compare the safety and efficacy of two treatment methods – EVLA and the new breakthrough TOTAL EVLA (side brunches and perforator veins are closed by laser) and to investigate whether the TOTAL EVLA is associated with a lower complication risk. Methods: Clinical study of patients who had undergone TOTAL EVLA or EVLA with miniphlebectomy. Evaluation of intraoperative pain, haematoma, duration of wearing compression stockings, postoperative pain and neuropathy, sick leave duration and return to physical activity. Symptoms and complaints were surveyed using a questionnaire at least 4 weeks after the operation. Results: 60 TOTAL EVLA and 48 EVLA with miniphlebectomy patients. Patients who underwent TOTAL EVLA had a shorter period of compression usage – average 16,9 days, with EVLA - 36,16 days. Duration of haematoma: 2,16 weeks for TOTAL and 3,13 weeks for EVLA. The TOTAL group measured intraoperative pain at 4,1 (from 1 to 10), EVLA – 4,3. Six TOTAL EVLA patients didn’t feel any postoperative pain, the rest had pain for 7,6 days. All of EVLA had pain for on an average of 15,8 days. In TOTAL sick leave was for 2,8 days, in EVLA – 14,5 days. TOTAL patients returned to physical exercises in an average 8,3 days, EVLA – 39,5 days. Conclusions: The study demonstrates that TOTAL EVLA has lower postoperative complication risks and a faster recovery than EVLA. TOTAL EVLA patients have shown better pain improvement. Treatment method proved clear impact on patients quality of life.
subject: Articles
  topic: section
subject: Total EVLA
  topic: keywords
subject: EVLA
  topic: keywords
subject: 1940 NM
  topic: keywords
subject: Miniphlebectomy
  topic: keywords
subject: Quality of Life
  topic: keywords
creator: Ints Udris
creator: Patricija Ivanova
creator: Anna Udre
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-10-28
publication date: 2023-10-28
starting page: 1
ending page: 4
doi: 10.47363/JHSR/2023(2)114

A Review on Building Knowledge Graphs from Scanned Textual Data in Medical Literature for Structured Insights
type: item
description: The exponential growth of medical literature presents challenges in extracting, organizing, and utilizing valuable information for healthcare applications. This paper presents a comprehensive review of methodologies for building knowledge graphs (KGs) from scanned medical literature, integrating Optical Character Recognition (OCR) and Natural Language Processing (NLP) techniques. The review addresses the challenges of low-quality scans, domain-specific terminology, data heterogeneity, and entity ambiguity. Furthermore, the paper explores various use cases in healthcare, such as clinical decision support and drug discovery, demonstrating the transformative potential of structured knowledge extraction.
subject: Articles
  topic: section
subject: Knowledge Graphs
  topic: keywords
subject: Optical Character Recognition
  topic: keywords
subject: Natural Language Processing
  topic: keywords
subject: Medical Literature
  topic: keywords
subject: Entity Extraction
  topic: keywords
subject: Healthcare Informatics
  topic: keywords
creator: Syed Arham Akheel
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-08-20
publication date: 2023-08-20
starting page: 1
ending page: 5
doi: 10.47363/JHSR/2023(2)E114

Adoption of Care Management Applications in Healthcare
type: item
description: This article explores the use of care management apps in healthcare to improve patient outcomes, efficiency, and quality. The research employs TechnologyContext-Analysis-Implementation-Outcomes (TCAIO) to identify key trends, causes, and obstacles to implementing these applications. The findings show that healthcare businesses require a digital transformation plan that involves ongoing adjustments to their processes, evaluating their strategies, and embracing new technologies. According to the research, healthcare staff should employ change management strategies to maximize care management tools.
subject: Articles
  topic: section
subject: Management
  topic: keywords
subject: IT Adoption
  topic: keywords
subject: EHRs
  topic: keywords
subject: Healthcare Sector
  topic: keywords
subject: Digital Transformation and Information Systems
  topic: keywords
creator: Gokul Ramadoss
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-07-24
publication date: 2023-07-24
starting page: 1
ending page: 5
doi: 10.47363/JHSR/2023(2)E101

Comparative Analysis of Energy Consumption (kcal) among Publicand Private Secondary School Students in Lagos State, Nigeria
type: item
description: Objective: To describe pattern of dietary energy intake among adolescents from 2021-2022. Design: Cohort study, with students in Public Secondary Schools (PuSS) and Private Secondary Schools (PrSS) in Lagos, Nigeria. Subjects/Setting: A total of 565 male and female secondary school students, Black Africans, with heterogenous ethnic background who were aged 10 to 19 years and who lived in the 3 Senatorial Districts of Lagos State. Methods: A multistage sampling technique was used to select 565 study subjects consisting of 214 boys and 351 girls from sixteen mixed and non-boarding secondary schools. The subjects were further stratified into early-stage (11-14 years), mid-stage (15-17 years) and late-stage (18-19 years) adolescents. Daily energy consumption was estimated by factorial method, body composition by anthropometry and energy intake by average of a 3-day 24-hour dietary recall. Statistical Analyses: Data were summarized as means and standard deviation unless otherwise stated. Differences in values between groups were analyzed for significance using paired t tests and multiple regression. NCSS software was used for data analysis. Results: The study subjects consisted of 62% females and 38% males, including approximately 49%, 33%, and 18% in early-, mid-, and late-stage adolescence. In early-stage adolescence (ESA), girls (n=174, 63.0%, 46.5±11.7 kg) were significantly heavier (t-test=-2.75, P-value=0.006) than boys (n=102, 37.0%; 42.7±10.7 kg), but in mid-stage adolescence (MSA) (n=74, 39.4%; 1.61±0.12) boyes were significantly taller (t-test=-2.74, P-value=0.007) than girls (n=114, 60.6%; 1.57±0.08). Roughly 17% of the study subjects were undernourished while 72.6%, 5.3% and 5.5 % were healthy, overweight, and obese respectively. The lowest (1928.9±816.5) and the highest (2409.2±787.5) mean daily energy (Kcal) consumed was by subjects with BMI-for-age percentiles 95% (obese) respectively (t-test=2.92, P-value=0.005). Mean daily energy consumption (Kcal) by Pu…
subject: Articles
  topic: section
subject: Adolescents
  topic: keywords
subject: Anthropometry
  topic: keywords
subject: Black Africa
  topic: keywords
subject: Energy Consumption
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Public and Private Secondary Schools
  topic: keywords
creator: Susan Holdbrooke
creator: Mitsuko T Afolabi
creator: Bamgboye M Afolabi
creator: Mercy T Sanni
creator: Eloho M Oyeh
creator: Tolulope A Odejobi
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-09-22
publication date: 2023-09-22
starting page: 1
ending page: 11
doi: 10.47363/JHSR/2023(2)113

A Study of Reliability of Mid Upper Arm Circumference for Detection of Severe Acute Malnutrition in Infants Between 1-<6months of Age
type: item
description: Introduction: Severe Acute Malnutrition (SAM) in children below 6months of age is diagnosed in presence of either of (1) weight for height/length <-3 standard deviations (SD) of median WHO growth reference (in infants>45cm); (2) visible severe wasting; (3) presence of bipedal edema. Simple measuring tape with reorientation of health workers can detect beginning of childhood malnutrition. This study aims to study reliability of mid upper arm circumference (MUAC) for detection of SAM in infants aged 1-6 months of age. Aims and Objectives Assessment of MUAC for identification of SAM in infants between 1-6 months of age. Comparison of mid upper arm circumference with presently used anthropometric measurement of weight for height for detection of SAM. Identification of definitive cut off value of MUAC which can be used as criterion at community level for detection of SAM in infants between 1-6. months of age. To study determinants of SAM in children between 1-6 months of age. Materials and Methods: A single center hospital based prospective observational study was conducted in department of pediatrics at a tertiary care center in Udaipur in India where total of 501 infants aged between 1-6 months of age satisfying inclusion and exclusion criteria were enrolled after ethical committee approval and after obtaining written informed consent from their parents over a period of 1 year from December 2015 to November 2016. Results: MUAC of <11.3 cm has sensitivity of 87.29%, specificity of 80.75%, Youden index of 0.68 and area under ROC curve as 0.840 with 95% confidence interval as 0.803-0.877. MUAC of <11.3cm (or <= 11.2cm) can thus be used as cut off at community level to diagnose SAM in infants between 1-6 months of age. Conclusion: This study thus establishes the reliability of MUAC for detection of severe acute malnutrition in infants between 1-<6months of age.
subject: Articles
  topic: section
subject: Study of Reliability
  topic: keywords
subject: Mid Upper Arm Circumference
  topic: keywords
subject: Severe Acute Malnutrition
  topic: keywords
creator: Ojas Vijayanand Potdar
creator: Rupali Jain
creator: Suman RL
creator: Suresh Goel
creator: Varun Agarwal
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-09-14
publication date: 2023-09-14
starting page: 1
ending page: 8
doi: 10.47363/JHSR/2023(2)112

Primary Cutaneous Mucinous Carcinoma of the Eyelid: A Case Report
type: item
description: Primary mucinous carcinoma of the skin is a rare cutaneous carcinoma arising from the eccrine differentiated sweat glands. The most frequent location is the eyelid, followed by the scalp and face. We reported a case in a 31-year-old male with a left eyelid mass. In this case, we widely discuss Primary cutaneous carcinoma’s clinical and histopathological features and literature review.
subject: Articles
  topic: section
subject: Primary Cutaneous
  topic: keywords
subject: Mucinous Carcinoma
  topic: keywords
creator: Srikanth Umakanthan
creator: Varindra Rakhar
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-07-31
publication date: 2023-07-31
starting page: 1
ending page: 2
doi: 10.47363/JHSR/2023(2)111

Sanitation Facilities, Services and Education in North-Eastern Nigeria
type: item
description: A sanitation facility, Services and Education greatly influences the sanitary situation of every society. They are the most important instruments for combating bad sanitary situation in every society. Educated people are very much aware of the health implication of a bad sanitary environment as such they will keep themselves and their environments very clean using available sanitation facilities and services Around the world now people have much higher education than ever before. In the space of almost two decades, global literacy has risen from 73 to 83 percent with school enrolment increasing faster. In Northeastern Nigeria, it is the same scenario, but a lot need to be done, because of the level of education of the people that leave in the rural areas where culture and tradition still play a great role in their lives and sanitation facilities and services are limited. While some beliefs are important, some beliefs can be damaging in terms of sanitation.
subject: Articles
  topic: section
subject: Sanitation
  topic: keywords
subject: Sanitation Facilities
  topic: keywords
creator: Chiwa Musa Dalah
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-05-08
publication date: 2023-05-08
starting page: 1
ending page: 4
doi: 10.47363/JHSR/2023(2)110

Analytical Optimization of X-ray Mammography for Increased Benefits and Safety; using: Data Analytics, Electronics Engineering and Artificial Intelligence
type: item
description: Objective: To analyse, understand and investigate common X-ray Mammography techniques, terminologies and properties; and how the X-ray Mammography systems can be optimized for a safer, more effective, more efficient, more energy efficient procedure for breast cancer diagnosis; using Deep Learning (DL)/ Artificial Intelligence (AI), Analytical, Electronic Engineering, tools and Methodologies. Methods: Using data and breast cancer image datasets from validated open source data stores; investigative and comparative analyses were carried out on common X-ray Mammography techniques in relation to breast cancer diagnosis and treatments for Women; as well as optimization analyses using Electronic engineering principles and Artificial Intelligence principles on the quality, intensity, radiation photon energy, HVL(Half Value Layer), Tube current-time product, Metal filters properties (e.g. K-edge energy cut off), and classification validation accuracy of the X-ray Mammography properties, procedure, processes and systems. The methodical and data-driven analyses were carried out using the following Data, Artificial Intelligence (AI) and Electronic Engineering, methodologies and algorithms: Data Analytics, Convolutional Neural Networks (CNN) in Machine Learning (ML) Engineering, and X-ray-Impedance Circuit Composite System Analysis. Results: The modern CESM (Contrast-Enhanced Spectral Mammography) technique, confirms to be the most efficient especially for a dense breast, but other techniques (including CESM) can also improve in efficiency when set up with the appropriate metal filter combination(s). Furthermore, the electronic impedance circuit shows good promise in the intelligent reduction of X-ray radiation intensity and further variations in energy; which is needed for a safer and quality X-ray Mammography procedure. Additionally, an interesting estimation of the number of pooling layers needed to achieve a quality metric for breast cancer image classification was investiga…
subject: Articles
  topic: section
subject: X-ray Mammography
  topic: keywords
subject: Breast Cancer
  topic: keywords
subject: Women
  topic: keywords
subject: Data
  topic: keywords
subject: Analytics
  topic: keywords
subject: Convolutional Neural Networks (CNN)
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Electronic Impedance Circuit
  topic: keywords
subject: Electronic Engineering
  topic: keywords
creator: Chikezie Kennedy Kalu
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-04-15
publication date: 2023-04-15
starting page: 1
ending page: 17
doi: 10.47363/JHSR/2023(2)109

Predictive Patient Readmission Risk Using Salesforce Health Cloud
type: item
description: The following article delves into the implementation of the Salesforce Health Cloud as a technology to support the predictive system of the readmission of patients. It highlights the significance of predictive analytics in identifying patients with high risks to support improvement of the readmission rate and strengthening the post-discharge care system. The article is comprehensive to support the entire process of implementation as it has taken a critical approach to deal with the topic by highlighting benefits as well as challenges associated with the process.
subject: Articles
  topic: section
subject: Salesforce
  topic: keywords
subject: Health Cloud
  topic: keywords
subject: Predictive Patient Readmission,
  topic: keywords
subject: Readmission Risk
  topic: keywords
subject: Accurate Predictions
  topic: keywords
creator: Satwik Mamidi
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-02-27
publication date: 2023-02-27
starting page: 1
ending page: 3
doi: 10.47363/JHSR/2023(2)E106

Forecast of Number of Malaria Cases in Ligula Referral Hospital in Mtwara, Tanzania
type: item
description: Based on SMA model, the forecast of number of Malaria cases in Ligula Referral Hospital in Mtwara have been analyzed. The study employed data of LRRH Statistics office from 2013 to 2021. The findings revealed that 3 – years SMA model (with error of 10%) was better than 5 – years SMA model (with error of 14%) in forecasting the number of malaria cases at LRRH. Furthermore, the result showed a slight decrease in number of malaria cases at LRRH for the next two years, that is 2022 and 2023. The number of malaria cases may decrease by 12% and 5% in 2022 and 2023 respectively. This being the case, the government and other stakeholders should put much effort in ensuring there is significant decrease in number of malaria cases.
subject: Articles
  topic: section
subject: Model
  topic: keywords
subject: Malaria Cases
  topic: keywords
subject: Error
  topic: keywords
subject: Forecast
  topic: keywords
subject: Simple Moving Average
  topic: keywords
subject: Trend Analysis and Prevalence
  topic: keywords
creator: Batho P Maballa
creator: Shaban Ally Mnuli
rights: Copyright (c) 2023 Journal of Health Statistics Reports
date: 2023-03-23
publication date: 2023-03-23
starting page: 1
ending page: 4
doi: 10.47363/JHSR/2023(2)108

Optimizing Physician Lifecycle Management: Streamlining Processeswith BPM Tools in Healthcare
type: item
description: his article explores the integration of physician contracting, onboarding, and termination processes with Business Process Management (BPM) tools in the healthcare industry. Physician lifecycle management, from contracting to termination, involves intricate workflows, numerous stakeholders, and stringent regulatory compliance. BPM tools provide a comprehensive solution for automating and optimizing these processes, ensuring efficiency, transparency, and compliance throughout the physician’s tenure. By integrating physician lifecycle management with BPM tools, healthcare organizations can streamline operations, reduce administrative burdens, and enhance the overall experience for physicians and staff. This article provides detailed insights into the benefits, challenges, best practices, and real-world applications of integrating physician contracting, onboarding, and termination with BPM tools, highlighting their transformative impact on healthcare delivery and organizational performance.
subject: Articles
  topic: section
subject: Physician lifecycle management
  topic: keywords
subject: Healthcare industry
  topic: keywords
subject: Contracting
  topic: keywords
subject: Onboarding
  topic: keywords
subject: Termination
  topic: keywords
subject: Workflow optimization
  topic: keywords
subject: Regulatory compliance
  topic: keywords
subject: User experience
  topic: keywords
subject: Data integration
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Transparency
  topic: keywords
creator: Ashok Reddy Annaram
rights: Copyright (c) 2022 Journal of Health Statistics Reports
date: 2022-12-18
publication date: 2022-12-18
starting page: 1
ending page: 3
doi: 10.47363/JHSR/2022(1)116