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Research Article
Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana
Richmond Bediako Nsiah*,
James Ankamah,
Theresah Krah,
Akua Kumi Yeboah,
Dominic Nyarko,
Jonathan Mawutor Gmanyami,
Florence Owusuaa Peprah,
Frank Prempeh,
Charlotte Yeboah Domfeh,
Isaac Ayirebi,
Mark Bonnir,
Isaac Morrison,
Margaret Morrison,
Patrick Larbi-Debrah,
Geoffrey Akungoe Ayambire,
Priscilla Sarkodie,
Kenneth Baga Sabogu,
Obed Atsu-Ofori,
Kwame Kusi Agyemang,
Daniel Ike Adinkrah
Issue:
Volume 12, Issue 6, December 2024
Pages:
154-164
Received:
21 September 2024
Accepted:
11 October 2024
Published:
13 November 2024
DOI:
10.11648/j.ajhr.20241206.11
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Abstract: Background: Effective health management in resource-limited settings requires strategic resource allocation and intervention planning. Pareto analysis, based on the 80/20 rule, aids in identifying key health conditions impacting outpatient morbidity, guiding intervention prioritization and resource optimization. This study applied Pareto analysis on outpatient morbidity data from Goaso Government Hospital, Ghana, to identify common health conditions and improve drug procurement and health promotion strategies. The methodology also serves as a guide for applying Pareto chart analysis to enhance decision-making in healthcare delivery. Methods: A cross-sectional study was conducted analyzing outpatient department (OPD) data from January to December 2023. Data were extracted from the Ghana Health Service Monthly Outpatient Morbidity Reports via the District Health Information Management System 2 (DHIMS 2). Data analysis was conducted using SPSS version 20 to estimate the mean and standard deviation. Microsoft Excel 2016 was employed for Pareto analysis and the creation of column charts. Results: The analysis revealed that female patients had a higher average number of outpatient cases (M = 259, SD = 430.7) compared to male patients (M = 156, SD = 282.5). Key conditions contributing to 80% of the cases included Upper Respiratory Tract Infections (URTIs), Pneumonia, Malaria, Acute Urinary Tract Infections (UTIs), Diarrhoeal diseases, Typhoid Fever, Anaemia, Rheumatism/Arthritis, Skin Diseases, and Septicaemia. Notably, young adults (ages 20-34) and children (ages 1-4) were most affected. Conclusions: A strategic approach to drug procurement is essential due to high disease prevalence. Key actions include maintaining a three-month supply of ACTs for malaria, stocking essential antibiotics, and ensuring a two-month supply of ORS. Utilizing data-driven forecasting and establishing strong supplier partnerships are crucial for optimizing drug availability. Simultaneously, targeted health promotion efforts should focus on respiratory health, malaria prevention, UTIs, WASH practices, anaemia, rheumatism, and skin diseases through public education. Additionally, qualitative research, such as patient interviews and provider surveys, is recommended to understand high morbidity rates and evaluate existing interventions.
Abstract: Background: Effective health management in resource-limited settings requires strategic resource allocation and intervention planning. Pareto analysis, based on the 80/20 rule, aids in identifying key health conditions impacting outpatient morbidity, guiding intervention prioritization and resource optimization. This study applied Pareto analysis o...
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Research Article
Yearly Assessment of Weather and Air Quality Impact on Respiratory Disease Hospitalizations: Faial Island (Azores) Study
Issue:
Volume 12, Issue 6, December 2024
Pages:
165-178
Received:
28 September 2024
Accepted:
17 October 2024
Published:
18 November 2024
DOI:
10.11648/j.ajhr.20241206.12
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Abstract: Building upon our previous research conducted at weekly and monthly intervals, this study investigates the yearly dynamics of weather conditions and air quality on respiratory diseases, specifically tailored to Faial Island in the Azores. Expanding our analysis to a yearly basis allows for a more comprehensive understanding of long-term trends and seasonal variations in hospital admissions. Drawing upon extensive daily data spanning from 2008 to 2019, sourced from the Statistics Service of Hospital da Horta, the Meteorological Observatory Príncipe Alberto de Mónaco, and the Air Quality Monitoring Network of the Azores, we examined the differentiated relationships between yearly meteorological variables, such as temperature, dew point, and wind direction, and respiratory health outcomes. Additionally, we explored the persistent influence of air quality indicators, including suspended particulate matter with an aerodynamic diameter of 10 micrometers (µm) or less (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3), across different seasons and years. By incorporating yearly data into our analysis, this study aims to provide a comprehensive and nuanced understanding of the interplay between environmental factors and respiratory disease hospitalizations, thereby informing targeted interventions and public health strategies in insular regions. The principal component analysis (PCA) applied to the yearly data reveals interesting correlation patterns between meteorological variables and hospitalizations for respiratory diseases such as asthma, pneumonia, and rhinitis. Hospital admissions were found to increase during periods of lower temperatures and smaller temperature amplitudes, suggesting that prolonged cold conditions may exacerbate symptoms of these diseases. Additionally, atmospheric pollutant concentrations, such as suspended particles PM10, SO2, NO2, and O3, significantly varied across seasons, with a notable influence on the exacerbation of respiratory diseases. In insular regions like the Azores, these findings highlight the importance of targeted public health strategies to mitigate the impact of environmental factors on respiratory health.
Abstract: Building upon our previous research conducted at weekly and monthly intervals, this study investigates the yearly dynamics of weather conditions and air quality on respiratory diseases, specifically tailored to Faial Island in the Azores. Expanding our analysis to a yearly basis allows for a more comprehensive understanding of long-term trends and ...
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Research Article
The Effect of Post-Traumatic Stress Disorder on Reproductive Intention in Women of Childbearing Age: A Cross-Sectional Survey
Jiquan Zhang,
Fan Xu*,
Wei Qing,
Xiaoyan Li,
Birong Xiao,
Lin He
Issue:
Volume 12, Issue 6, December 2024
Pages:
179-185
Received:
8 October 2024
Accepted:
29 October 2024
Published:
20 November 2024
DOI:
10.11648/j.ajhr.20241206.13
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Abstract: Background: With the aggravation of China's aging population, China's population structure has undergone great changes, China's fertility rate and birth rate decline has always been a concern of the government, and mental health issues are an important part of creating a healthy birth atmosphere. Objective: To investigate whether the level of post-traumatic stress disorder (PTSD) affects the reproductive intention of women of reproductive age, and to analyze the influencing factors of reproductive intention of women. Methods: This study was a cross-sectional survey design, using convenience sampling method to survey women of childbearing age who were followed up in the postpartum outpatient clinic of a tertiary hospital from August 2023 to March 2024, and the survey instrument included a general information questionnaire, a questionnaire on the willingness to reproduce, and an impact of event scale- Revised, which was statistically analyzed using SPSS 27.0, and a binary logistic regression model was used to analyze the influencing factors of reproduction intention, and P<0.05 was taken as statistically different. Results: Reproduction intention of women of childbearing age accounted for 42.9%, and age, education, residence, and PTSD were independent influencing factors of reproduction intention of women of childbearing age. Conclusion: The research results show that age, education level, place of residence and PTSD are independent factors influencing women's willingness to have children again. The higher the level of PTSD, the lower the willingness to have children again. Therefore, attention should be paid to women's postpartum mental health problems, and more family and social support should be provided to improve their mental health status, so as to enhance the level of willingness to have children again.
Abstract: Background: With the aggravation of China's aging population, China's population structure has undergone great changes, China's fertility rate and birth rate decline has always been a concern of the government, and mental health issues are an important part of creating a healthy birth atmosphere. Objective: To investigate whether the level of post-...
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Research Article
Phenomena of Inertia Bias in Research, Practicalities of Possible Adjustment
Oleksandr Ocheredko*
Issue:
Volume 12, Issue 6, December 2024
Pages:
186-192
Received:
1 October 2024
Accepted:
12 November 2024
Published:
21 November 2024
DOI:
10.11648/j.ajhr.20241206.14
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Abstract: In academic research, bias refers to a type of systematic error that can distort measurements and/or affect investigations and their results. Biases can be present in both quantitative and qualitative research. The common effect of biases is undermining the power of statistical tests, therefore findings induced to support H0 hypothesis. Corrections depend on nature of bias and aimed to recover magnitude of association. Corrections use analytical constructs therefore applied in data analysis stage. Considered in the paper is of novel type and tentatively named inertia bias. This bias is of directed uncertainty about true value of index. One can find it in the range of designs and measures. The essence is the exposure takes time to shift index to new equilibrium. The problem is that researcher usually unaware of time required for index to settle down at new equilibrium. Therefore one inevitably measures the transition states instead of equilibrium yielding different magnitudes of attenuated association. How to obtain measure equilibrium value is the focus of the paper. Given the dynamical setup I referred to first order nonlinear differential equations, in particular logistic differential equation that meats necessary prerequisites: it should be separable equation, it has to have stable state, solutions have to descend or ascend toward equilibrium with the tangency in time. This paper describes range of circumstances where researcher faces the problem along with suggested solution, calculus, and tested software.
Abstract: In academic research, bias refers to a type of systematic error that can distort measurements and/or affect investigations and their results. Biases can be present in both quantitative and qualitative research. The common effect of biases is undermining the power of statistical tests, therefore findings induced to support H0 hypothesis. Corrections...
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Research Article
Gardnerella-associated Vaginosis Among Women of Child-Bearing Age Attending a Tertiary Hospital-Cameroon: Prevalence and Predicting Factors
Issue:
Volume 12, Issue 6, December 2024
Pages:
193-203
Received:
17 October 2024
Accepted:
11 November 2024
Published:
21 November 2024
DOI:
10.11648/j.ajhr.20241206.15
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Abstract: Background: Gardnerella vaginalis being one of the major causes of bacterial vaginosis poses serious health problems by causing damage to the vaginal epithelial cells and disrupt the protective barrier of the mucosa, thereby increasing susceptibility to sexually transmitted diseases, and complications during pregnancy. Objective: This descriptive cross-sectional study was aimed at determining the prevalence and predicting factors for the occurrence of Gardnerella-associated vaginosis among women of reproductive age attending a tertiary hospital in Cameroon. Methods: The study was performed on 200 women, randomly selected and of reproductive age, who attended the Buea Regional hospital from April to June 2024. A well-structured and pretested questionnaire was used to obtain demographic and clinical data from volunteers. Sterile swabs were used to collect vaginal samples which were inoculated on Colombia agar with 5% sheep infusion and incubated at 37°C for 24 hours. Gram staining, microscopy, biochemical testing and presence of Clue cells were used to identify Gardnerella vaginalis infection. Statistical analyses were performed using the SPSS version 22.0 and Odd Ratios to determine the relationship among variables at a significance level P<0.05. Results: Results showed that 124 cases were positive for Gardnerella vaginalis infection (62.0%). The mean age of participants was 25.15±0.731 years and patients between 16-25 years recorded the highest prevalence (39%) of Gardnerella vaginalis infection. Socioeconomically, unemployed participants showed the highest prevalence (65.3%), although the difference was not significant (P=0.49). Abnormal vaginal discharge was significantly (P=0.02) associated with the highest prevalence (75%) among other clinical parameters. This study revealed significant associations of the use of antiseptic soap while douching (OR: 4.92; 95% CI: 1.4–13.66; P=0.026), being sexually active (OR: 2.88; 95% CI: 1.1-10.06; P=0.04), as well as diabetes (OR: 3.13; 95% CI: 1.99–9.43; P=0.041) and regular intake of anti-inflammatory drugs (OR: 4.01; 955 CI: 1.2-13.01; P=0.038), which strongly predicted occurrence of Gardnerella vaginalis infection. Conclusion: Mindful of the above analyses, it is important that women of reproductive age must be promptly checked for bacterial vaginosis and determine predicting factors for its occurrence, which will help policy makers to put in place appropriate preventive and treatment measures to curb complications during pregnancy and transmission of STDs.
Abstract: Background: Gardnerella vaginalis being one of the major causes of bacterial vaginosis poses serious health problems by causing damage to the vaginal epithelial cells and disrupt the protective barrier of the mucosa, thereby increasing susceptibility to sexually transmitted diseases, and complications during pregnancy. Objective: This descriptive c...
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