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Nevin Manimala Statistics

Determinants of early cessation of exclusive breastfeeding practices among rural mothers from Jaffna District of Sri Lanka

Int Breastfeed J. 2023 Aug 15;18(1):42. doi: 10.1186/s13006-023-00575-z.

ABSTRACT

BACKGROUND: Sri Lanka is an upper-middle-income country with excellent health statistics. However, 2016 Demographic and Health Survey data have shown 82% and 64% of mothers exclusively breastfed infants aged 0-6 months and 4-5 months, respectively. The short duration of exclusive breastfeeding (EBF) has an impact on the growth and development of babies. Since no studies have been reported on EBF practices of the rural mothers in Jaffna District, an administrative district among 25 districts of Sri Lanka, this study aimed to assess the factors influencing the early cessation of EBF.

METHODS: For this community-based cross-sectional study, 338 mother-child pairs were selected from 2013-14. EBF was defined as children not receiving any food or drink, including complementary foods, formula milk or milk products except for medicines and vitamins or mineral drops, other than breast milk since birth. Socio-economic and demographic factors, the influence of the mode of delivery, and knowledge on EBF were obtained using an interviewer-administered questionnaire. The details of EBF and reasons for the cessation of breastfeeding before six months were obtained from a subgroup of mothers (n = 208). Multivariate analysis was performed to explore the correlates of breastfeeding.

RESULTS: In this study, 71.2% (95% CI 64.5, 77.2) had practiced EBF for six months. Early discontinuation of EBF was practiced by employed mothers (AOR 4.3; 95% CI 1.3, 13.9), mothers of low birth weight babies (AOR 3.6; 95% CI 1.6, 8.2) and those who experienced Cesarean section birth (AOR 2.9; 95% CI 1.2, 6.9). The EBF practiced by mothers of rural Jaffna was not associated with the gender of the babies, type of family, number of children in a family, religion of the household, knowledge on EBF, or family income.

CONCLUSION: The prevalence of EBF up to six months was low in rural Jaffna, and it was influenced by employment, birthweight of the babies, and the mode of delivery. To enhance EBF, the Regional Directorate of Health Service, Jaffna, should take necessary action with policymakers to increase maternity leave for at least six months, reduce the Cesarean section rate, and provide nutritional support to pregnant mothers.

PMID:37580743 | DOI:10.1186/s13006-023-00575-z

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Evaluation of a pregnancy loss education intervention for undergraduate nursing students in Northern Ireland: A pre- and post-test study

BMC Nurs. 2023 Aug 14;22(1):268. doi: 10.1186/s12912-023-01408-4.

ABSTRACT

BACKGROUND: Research highlights the importance of compassionate communication, adequate delivery of information, and professional support to help alleviate parental distress following pregnancy loss. However, many healthcare professionals do not feel sufficiently trained to deal with pregnancy loss in practice. We aimed to address this deficiency with an evidence-informed educational intervention to increase knowledge, skills, self-awareness, and confidence regarding pregnancy loss among UK nursing students.

METHODS: Educational resources, which included an 82-minute podcast and 40-minute online lecture were developed. The podcast focused on the lived experiences of three women who had experienced miscarriage, stillbirth, and termination of pregnancy for medical reasons. The pre-recorded lecture included definitions of types of pregnancy loss, discussion of the importance of communication, and information on the clinical management of pregnancy loss. Students were presented with both the lecture and podcast as a self-directed element of existing curricula. A pre-test/post-test cross-sectional survey design was used to investigate the impact of the educational intervention. The Perinatal Bereavement Care Confidence Scale (PBCCS) was completed by 244 first year BSc Nursing students before and up to a week after receiving the intervention. Quantitative data were analysed using a Paired Samples Wilcoxon test. Responses to open-ended questions, which allowed students to give feedback on the intervention content and delivery were analysed using Qualitative Content Analysis.

RESULTS: 96% (n = 235) of the sample reported having no prior experience or training in the management and support of those experiencing pregnancy loss. At pre-test, 88% (n = 215) of students rated themselves as not confident in dealing with pregnancy loss in a professional capacity. Post-test, we found statistically significant effects for perceived competency on all learning outcomes (p < .001). Qualitative analysis of n = 745 individual text responses to open-ended questions indicated four categories related to the perceived value of using real-life stories for learning, demystifying a taboo subject, and providing tools for practice. Respondents suggested the inclusion of more information on memory-making, support networks, and mental health following pregnancy loss.

CONCLUSIONS: The educational intervention increased student nurses’ perceived knowledge, confidence, and skills in caring for families experiencing pregnancy loss. This offers potential for increased quality of care for those experiencing pregnancy loss in healthcare settings, increased patient satisfaction, and improved mental health-related outcomes.

PMID:37580730 | DOI:10.1186/s12912-023-01408-4

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Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China

Int J Equity Health. 2023 Aug 14;22(1):153. doi: 10.1186/s12939-023-01953-z.

ABSTRACT

BACKGROUND: Inequality of opportunity (IOp) stemming from social circumstances exists in outpatient service utilization for the multimorbid elderly in China. However, little is known regarding the magnitude of the IOp and its composition. Therefore, this study aims to measure the IOp in outpatient expenditure and provide potential pathways for policy reform by assessing the contribution of each circumstance.

METHODS: This study included 3527 elderly aged ≥ 65 years with multimorbidity from the Chinese Longitudinal Healthy Longevity Study conducted in 2017-2018. An ordinary least squares regression model was used to analyze the circumstance-influencing factors of outpatient expenditure. The parametric approach was performed to quantify the IOp in outpatient expenditure and the Shapley value decomposition method was employed to determine the contribution of each circumstance. By extracting heterogeneity in the residual of the circumstance-dependent equation of outpatient expenditure across circumstance groups divided based on cluster analysis, we captured the effect of unobserved circumstances.

RESULTS: Except for pension and distance to health facilities, all the associations between circumstance and outpatient expenditure were statistically significant. The inequality caused by circumstances accounted for 25.18% of the total inequality. The decomposition results revealed that the reimbursement rate contributed 82.92% of the IOp, followed by education duration (4.55%), household registration (3.21%), household income (3.18%), pension (1.49%), medical insurance (1.26%), physical labor (0.99%), unobserved circumstances (0.86%), distance to health facilities (0.83%) and region (0.71%).

CONCLUSIONS: The priority of policy enhancement is to effectively improve the outpatient reimbursement benefit for treating chronic diseases. Additional crucial actions include enhancing the health literacy of the multimorbid elderly to promote the shift from medical needs to demands and accelerating the construction of rural capacity for providing high-quality healthcare to the elderly with multimorbidity.

PMID:37580728 | DOI:10.1186/s12939-023-01953-z

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Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease

BMC Med Inform Decis Mak. 2023 Aug 14;23(1):159. doi: 10.1186/s12911-023-02261-w.

ABSTRACT

BACKGROUND: Current healthcare trends emphasize the use of shared decision-making (SDM) for renal replacement treatment (RRT) in patients with chronic kidney disease (CKD). This is crucial to understand the relationship between SDM and illness perception of CKD patients. Few studies have focused on SDM and illness perception status of CKD patients and the impact of illness perception on RRT after SDM.

METHODS: In this cross-sectional study, we used a questionnaire with purposive sampling from March 2019 to February 2020 at the nephrology outpatient department of a medical center in southern Taiwan. The nephrology medical team in this study used the SHARE five-step model of SDM to communicate with the patients about RRT and Brief Illness Perception Questionnaire (BIPQ) was applied to evaluate illness perception of these patients at the beginning of SDM. According to the SDM decision time, the study participants were classified general and delayed SDM groups. The distribution between SDM groups was estimated using independent two sample t-test, chi-squared test or Fisher’s exact test. The correlation between illness perception and SDM decision time were illustrated and evaluated using Spearman’s correlation test. A p-value less than 0.05 is statistically significant.

RESULTS: A total of 75 patients were enrolled in this study. The average time to make a dialysis decision after initiating SDM was 166.2 ± 178.1 days. 51 patients were classified as general group, and 24 patients were classified as delayed group. The median SDM decision time of delayed group were significantly longer than general group (56 vs. 361 days, P < 0.001). Our findings revealed that delayed group was significantly characterized with not created early surgical assess (delayed vs. general: 66.7% vs. 27.5%, p = 0.001) compared to general group. The average BIPQ score was 54.0 ± 8.1 in our study. We classified the patients into high and low illness perception group according to the median score of BIPQ. The total score of BIPQ in overall participants might increase by the SDM decision time (rho = 0.83, p = 0.830) and the linear regression line also showed consistent trends between BIPQ and SDM decision time in correspond cohorts. However, no statistically significant findings were found.

CONCLUSIONS: The patients with advanced chronic kidney disease took an average of five and a half months to make a RRT decision after undergoing SDM. Although there is no statistical significance, the trend of illness perception seems correlated with decision-making time. The stronger the illness perception, the longer the decision-making time. Furthermore, shorter decision times may be associated with earlier establishment of surgical access. We need more research exploring the relationship between illness perception and SDM for RRT in CKD patients.

PMID:37580719 | DOI:10.1186/s12911-023-02261-w

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Comparing full immunisation status of children (0-23 months) between slums of Kampala City and the rural setting of Iganga District in Uganda: a cross-sectional study

BMC Health Serv Res. 2023 Aug 14;23(1):856. doi: 10.1186/s12913-023-09875-w.

ABSTRACT

BACKGROUND: Immunisation remains the most cost-effective public health intervention in preventing morbidity and mortality due to Vaccine-Preventable Diseases (VPDs). The study aims to compare the differences in immunisation coverage amongst children aged 0 to 23 months living in slums of Kampala city and Iganga as rural districts in Uganda.

METHODS: This study utilises data from a cross-sectional survey done in 2019 in the slums of Kampala City and the rural district of Iganga within the Health and Demographic Surveillance Site (HDSS). It included 1016 children aged 0-23 months and their parents. A logistic regression model was used to analyse the relationship between multiple independent variables and the binary dependent variables (fully immunised) using Stata statistical software. The measures of association were odds ratios reported with a corresponding 95% confidence interval.

RESULTS: Out of the 1016 participants, 544 participants live in the rural area and 472 participants in the slums. Slums had 48.9% (n = 231) of fully immunised children whilst rural areas had 43.20% (n = 235). The multivariate analysis showed that children living in slums are more likely to be fully immunised as compared to their counterparts in rural areas (Odds ratio:1.456; p = 0.033; CI:1.030-2.058). Immunisation coverage for BCG (98.9%), Polio 0 (88.2%), Penta1 (92.7%), and Pneumo1 (89.8%) were high in both settlements. However, the dropout rate for subsequent vaccines was high 17%, 20% and 41% for Penta, pneumococcal and rota vaccines respectively. There was poor uptake of the new vaccines with slums having 73.4% and 47.9% coverage for pneumococcal and rota vaccines respectively and rural areas had 72.1% and 7.5% for pneumococcal and rota vaccines respectively.

CONCLUSION: The low full immunisation status in this study was attributed to the child’s residence and the occupation of the parents. Lack of education and poor access to messages on immunisation (inadequate access to mass media) are other contributing factors. Educational messages on the importance of immunisation targeting these underserved populations will improve full immunisation coverage.

PMID:37580708 | DOI:10.1186/s12913-023-09875-w

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Correlation of health-related quality of life for older adults with diabetes mellitus in South Korea: theoretical approach

BMC Geriatr. 2023 Aug 14;23(1):491. doi: 10.1186/s12877-023-04186-5.

ABSTRACT

BACKGROUND: While some studies have explored the health-related quality of life (HRQOL) of older adults with diabetes mellitus (DM) in South Korea using a theoretical framework, these studies suffer sample-related limitations, as they focus only on a specific subgroup of older adults. To address this gap, this study aimed to investigate the predictors of HRQOL of older adults with DM in South Korea, using extensive national data and based on the theory of Health-Related Quality of Life in South Korean Older Adults with Type 2 Diabetes (The HIKOD theory).

METHODS: A secondary data analysis was conducted using data from 1,593 participants aged 65 years and older with DM sourced from the 2015-2019 Korea National Health and Nutrition Examination Survey (KNHANES). The variables included in this study are as follows: demographic factors (gender, age, household income, and education level), disease-specific factors (duration of DM, treatment of DM, and control of HbA1c), barriers (number of comorbidities), resources (living alone status), psychosocial factors (perceived stress), and health-promoting behaviors (physical activity and fundus examination). Considering the complex sampling design employed in this study, statistical analyses including Rao-Scott chi-square tests, correlation analysis, and hierarchical multiple regression analysis were conducted.

RESULTS: Mobility (45.0%) was the HRQOL dimension with which participants experienced the highest number of problems. Number of comorbidities (r = -0.36, p < 0.001), living alone status (rpb = 0.16, p < 0.001), perceived stress (rpb = 0.14, p < 0.001), and physical activity (rpb = 0.12, p < 0.001) were correlated with HRQOL. While adjusting for background factors, HRQOL was negatively predicted by higher number of comorbidities (estimate B = -0.03, p < 0.001), living alone (estimate B = -0.03, p = 0.043), higher perceived stress (estimate B = -0.09, p < 0.001), and lower physical activity (estimate B = -0.03, p < 0.001).

CONCLUSION: Complex and diverse factors influence HRQOL among older adults with DM in South Korea. To improve their HRQOL, intervention programs that integrally regard HRQOL, along with various predictors, are necessary.

PMID:37580707 | DOI:10.1186/s12877-023-04186-5

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Prediction of Parkinson’s disease pathogenic variants using hybrid Machine learning systems and radiomic features

Phys Med. 2023 Aug 12;113:102647. doi: 10.1016/j.ejmp.2023.102647. Online ahead of print.

ABSTRACT

PURPOSE: In Parkinson’s disease (PD), 5-10% of cases are of genetic origin with mutations identified in several genes such as leucine-rich repeat kinase 2 (LRRK2) and glucocerebrosidase (GBA). We aim to predict these two gene mutations using hybrid machine learning systems (HMLS), via imaging and non-imaging data, with the long-term goal to predict conversion to active disease.

METHODS: We studied 264 and 129 patients with known LRRK2 and GBA mutations status from PPMI database. Each dataset includes 513 features such as clinical features (CFs), conventional imaging features (CIFs) and radiomic features (RFs) extracted from DAT-SPECT images. Features, normalized by Z-score, were univariately analyzed for statistical significance by the t-test and chi-square test, adjusted by Benjamini-Hochberg correction. Multiple HMLSs, including 11 features extraction (FEA) or 10 features selection algorithms (FSA) linked with 21 classifiers were utilized. We also employed Ensemble Voting (EV) to classify the genes.

RESULTS: For prediction of LRRK2 mutation status, a number of HMLSs resulted in accuracies of 0.98 ± 0.02 and 1.00 in 5-fold cross-validation (80% out of total data points) and external testing (remaining 20%), respectively. For predicting GBA mutation status, multiple HMLSs resulted in high accuracies of 0.90 ± 0.08 and 0.96 in 5-fold cross-validation and external testing, respectively. We additionally showed that SPECT-based RFs added value to the specific prediction of of GBA mutation status.

CONCLUSION: We demonstrated that combining medical information with SPECT-based imaging features, and optimal utilization of HMLS can produce excellent prediction of the mutations status in PD patients.

PMID:37579523 | DOI:10.1016/j.ejmp.2023.102647

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What Factors Explain Low Adoption of Digital Technologies for Health Financing in an Insurance Setting? Novel Evidence From a Quantitative Panel Study on IMIS in Tanzania

Int J Health Policy Manag. 2023;12:6896. doi: 10.34172/ijhpm.2023.6896. Epub 2023 Feb 13.

ABSTRACT

BACKGROUND: Digital information management systems for health financing are implemented on the assumption thatdigitalization, among other things, enables strategic purchasing. However, little is known about the extent to which thesesystems are adopted as planned to achieve desired results. This study assesses the levels of, and the factors associated withthe adoption of the Insurance Management Information System (IMIS) by healthcare providers in Tanzania.

METHODS: Combining multiple data sources, we estimated IMIS adoption levels for 365 first-line health facilities in2017 by comparing IMIS claim data (verified claims) with the number of expected claims. We defined adoption as abinary outcome capturing underreporting (verified<expected) vs. not-underreporting, using four different approaches.We used descriptive statistics and analysis of variance (ANOVA) to examine adoption levels across facilities, districts,regions, and months. We used logistic regression to identify facility-specific factors (ie, explanatory variables) associatedwith different adoption levels.

RESULTS: We found a median (interquartile range [IQR]) difference of 77.8% (32.7-100) between expected and verifiedclaims, showing a consistent pattern of underreporting across districts, regions, and months. Levels of underreportingvaried across regions (ANOVA: F=7.24, P<.001) and districts (ANOVA: F=4.65, P<.001). Logistic regression resultsshowed that higher service volume, share of people insured, and greater distance to district headquarter were associatedwith a higher probability of underreporting.

CONCLUSION: Our study shows that the adoption of IMIS in Tanzania may be sub-optimal and far from policy-makers’expectations, limiting its capacity to provide the necessary information to enhance strategic purchasing in the healthsector. Countries and agencies adopting digital interventions such as openIMIS to foster health financing reform areadvised to closely track their implementation efforts to make sure the data they rely on is accurate. Further, our studysuggests organizational and infrastructural barriers beyond the software itself hamper effective adoption.

PMID:37579470 | DOI:10.34172/ijhpm.2023.6896

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The Maritime SPOR SUPPORT Unit (MSSU) Bridge Process: An Integrated Knowledge Translation Approach to Address Priority Health Issues and Increase Collaborative Research in Nova Scotia, Canada

Int J Health Policy Manag. 2023;12:6901. doi: 10.34172/ijhpm.2023.6901. Epub 2023 Feb 14.

ABSTRACT

BACKGROUND: There is evidence of the benefits of integrated knowledge translation (IKT), yet there is limited research outlining the purpose of a knowledge broker (KB) within this approach. The Maritime SPOR SUPPORT Unit (MSSU) acts as a KB to support patient-oriented research across the Maritime provinces in Canada. The “Bridge Process” was developed by the Nova Scotia (NS) site as a strategy that involves work leading up to and following the Bridge Event. The process supports research addressing priority health topics discussed at the event by stakeholder groups. The objectives of this paper were to (1) describe the outputs/outcomes of this IKT approach; and (2) examine the role of the KB.

METHODS: Quantitative data were collected from registration and evaluation surveys. Outputs are described with descriptive statistics. Qualitative data were collected through evaluation surveys and internal documents. Data related to KB tasks were categorized into three domains: (1) Knowledge Manager, (2) Linkage and Exchange Agent, and (3) Capacity Developer.

RESULTS: The Bridge Process was implemented four times. A total of 314 participants including government, health, patient/citizen, community, and research personnel attended the events. We identified 24 priority topics, with 7 led by teams receiving support to complete related projects. Participants reported improved understanding of the research gaps and policy needs and engaged with individuals they would not have otherwise. Although patients/citizens attended each Bridge Event, only 61% of participants who completed an evaluation survey indicated that they were ‘actively engaged in group discussion.’ The KB’s role was identified in all three domains including Knowledge Manager (eg, defining questions), Linkage and Exchange Agent (eg, engaging stakeholders), and Capacity Builder (eg, research interpretation).

CONCLUSION: The MSSU facilitated an IKT approach by acting as a KB throughout the Bridge Process. This deliberative and sequential process served as an effective strategy to increase collaborative health research in the province.

PMID:37579467 | DOI:10.34172/ijhpm.2023.6901

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The Importance of Mapping Determinants, Attitudes and Beliefs of Vaccine Hesitancy in the Great Challenge of Compulsory Childhood Vaccination Comment on “Convergence on Coercion: Functional and Political Pressures as Drivers of Global Childhood Vaccine Mandates”

Int J Health Policy Manag. 2023;12:7614. doi: 10.34172/ijhpm.2023.7614. Epub 2023 Jun 27.

ABSTRACT

Vaccine hesitancy (VH) has risen significantly during the COVID-19 pandemic, becoming a major global health concern. VH is characterized by the delay or refusal of vaccination despite its availability. Various frameworks have been developed to understand the complex factors influencing VH, with attitudes, beliefs, and external influences being the most significant. The surge in VH has reignited the debate on the best approach to address it: persuasive/ educational or coercive. Attwell and Hannah studied the political and social reasons behind the adoption of mandatory vaccination in four jurisdictions (Italy, France, Australia, and California) due to declining vaccine coverage below the safety threshold. However, these methods may foster parental disbeliefs and opposition to vaccination campaigns. To combat VH, it is crucial to systematically assess its determinants within specific contexts and population groups. Increasing awareness about vaccination benefits, engaging with social media, and employing tailored strategies can foster spontaneous adherence to vaccination programs, eliminating the need for coercive measures.

PMID:37579365 | DOI:10.34172/ijhpm.2023.7614