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Nevin Manimala Statistics

Factors leading to the late diagnosis and poor outcomes of breast cancer in Matabeleland South and the Bulawayo Metropolitan Provinces in Zimbabwe

PLoS One. 2023 Nov 3;18(11):e0292169. doi: 10.1371/journal.pone.0292169. eCollection 2023.

ABSTRACT

INTRODUCTION: Breast cancer (BC) is the leading cause of female cancer deaths in Africa, and in Zimbabwe, >80% present with advanced disease. A Needs Project (NP) was carried out to determine the key factors responsible for delayed diagnosis and poor BC outcomes and to investigate possible solutions in 6 rural and urban districts of Matabeleland South and Bulawayo Metropolitan Provinces.

METHODS: A mixed method approach was used to collect data in 2 phases. Phase 1: an exploration of key factors leading to poor BC outcomes with >50 professional stakeholders and patient representatives. Phase 2: (i) Quantitative arm; validated questionnaires recording breast cancer knowledge, demographic information and perceived barriers to care administered to women and their relatives (Group 1) and health professionals (HPs) (Group 2). (ii) Qualitative arm; 10 focus group discussions with medical specialists and interested lay representatives (Group 3). The Cochran sample size formulae technique was used to determine the quantitative sample size and data was aggregated and analysed using SPSS Version 23™. Purposive sampling for the qualitative study selected participants with an understanding of BC and the NP. Focus group discussions were recorded and a thematic analysis of the transcriptions was conducted using NVivo9™.

RESULTS: Quantitative analysis of Group 1 data (n = 1107) confirmed that younger women (<30years) had the least knowledge of breast cancer (p<0.001). Just under half of all those surveyed regarded breast cancer as incurable. In Group 2 (n = 298) the largest group of health workers represented were general nurses and midwives (74.2%) in keeping with the structure of health provision in Zimbabwe. Analysis confirmed a strong association between age and awareness of BC incidence (p = 0.002) with respondents aged 30-39 years being both the largest group represented and the least knowledgeable, independent of speciality. Nearly all respondents (90%) supported decentralisation of appropriate breast surgical services to provincial and district hospitals backed up by specialist training. Thematic analysis of focus group discussions (Group 3) identified the following as important contributors to late BC diagnosis and poor outcomes: (i) presentation is delayed by poorly educated women and their families who fear BC and high treatment costs (ii) referral is delayed by health professionals with no access to training, skills or diagnostic equipment (iii), treatment is delayed by a disorganised, over-centralized patient pathway, and a lack of specialist care and inter-disciplinary communication.

CONCLUSION: This study confirms that the reasons for poor BC outcomes in Zimbabwe are complex and multi-factorial. All stakeholders support better user and provider education, diagnostic service reconfiguration, targeted funding, and specialist training.

PMID:37922284 | DOI:10.1371/journal.pone.0292169

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Nevin Manimala Statistics

Effects of music intervention combined with progressive muscle relaxation on anxiety, depression, stress and quality of life among women with cancer receiving chemotherapy: A pilot randomized controlled trial

PLoS One. 2023 Nov 3;18(11):e0293060. doi: 10.1371/journal.pone.0293060. eCollection 2023.

ABSTRACT

Beneficial effects of music intervention and progressive muscle relaxation alone on psychological issues were reported, however, studies evaluating their combined effects are limited. This study aimed to investigate the feasibility, acceptability and preliminary effects of music intervention combined with progressive muscle relaxation on anxiety, depression, stress, and quality of life among breast and gynaecological cancer patients receiving chemotherapy.

METHODS: The study was carried out from March to May 2022 in an oncology hospital in Vietnam. A single-blinded randomized controlled trial was conducted among 24 women with breast and gynaecological cancer undergoing chemotherapy. The intervention group (n = 12) received a face-to-face training program about music listening and progressive muscle relaxation skills. They then performed the self-practice daily at home for three weeks. The control group (n = 12) received standard care, including health assessment, regular health advice and nutrition consultation. Ten participants in the intervention group were interviewed with open-ended questions to explore the acceptability of the intervention. Anxiety, depression and stress were measured using the Depression Anxiety Stress Scale, while The Functional Assessment of Cancer Therapy-General was used to evaluate the quality of life. The outcome measurements were collected at baseline (T0), post-intervention (3rd week, T1) and follow-up (6th week, T2). Appropriate descriptive statistics were used to depict the outcome measures across study time points.

RESULTS: A total of 24 patients were eligible to join, and 20 of them completed the study. Greater reductions in anxiety, depression and stress were observed in the intervention group than in the control group at T1 and T2. Greater improvements on quality of life were found in the intervention group than control group at T1 and T2 with respect to T0. The content analysis supported the acceptable intervention of participants through two themes, perceived beneficial effects on psychological and physical health and willingness to keep practising in the future.

CONCLUSIONS: Implementing music intervention combined with progressive muscle relaxation is feasible and had a trend in reducing anxiety, depression and stress levels. A larger scale randomized controlled trial is needed to confirm the effect of the intervention on outcomes.

TRIAL REGISTRATION: This trial was registered on ClinicalTrials.gov with ID: NCT05262621.

PMID:37922279 | DOI:10.1371/journal.pone.0293060

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Nevin Manimala Statistics

Delivering PACE++ curriculum in community settings: Impact of TARA intervention on gender attitudes and dietary practices among adolescent girls in Bihar, India

PLoS One. 2023 Nov 3;18(11):e0293941. doi: 10.1371/journal.pone.0293941. eCollection 2023.

ABSTRACT

Adolescence phase has high intrinsic and instrumental relevance. The Transformative Action for Rural Adolescents intervention delivered PACE++ curriculum with innovations to introduce a) health and nutrition sessions and b) delivery of the content in community settings of rural Bihar. This paper examines impact of the intervention showcasing establishment of intergenerational community connect for empowering and invigorating adolescent girls on gender attitude, empowerment and adolescent health and nutrition. The impact evaluation is based on a two-arm (intervention and comparison groups) cluster randomized controlled design with two rounds of representative cross-sectional surveys. The baseline and endline sample comprised of 2327 and 2033 adolescent girls (15-19 years), respectively. Descriptive statistical, difference-in-differences and propensity score matching methods are used to confirm the program impact. The DID and PSM analyses confirm high significance of impact on gender equity norms, diets and nutritional knowledge and understanding of employee related rights and responsibilities. School-going adolescent girls performed better than those who have discontinued formal education. The intervention showcases the importance of delivering the modified PACE curriculum in rural settings through leveraging community platforms. The findings call for greater policy attention on scaling up of similar initiatives for empowerment and social capital development of adolescent girls.

PMID:37922252 | DOI:10.1371/journal.pone.0293941

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Nevin Manimala Statistics

Role of gastric peroral endoscopic myotomy (GPOEM) in chronic gastroparesis management after pancreas transplantation

Clin Transplant. 2023 Nov 3:e15176. doi: 10.1111/ctr.15176. Online ahead of print.

ABSTRACT

Gastroparesis is a common complaint among patients with diabetes. Symptoms tend to improve following successful pancreas transplantation (PTx), but persist despite euglycemia in a subset of patients. We aimed to assess the benefit of gastric peroral endoscopic myotomy (G-POEM) in persistent gastroparesis following PTx. This was a single center retrospective review of all patients who underwent G-POEM for persistent gastroparesis following PTx. Patient demographics, pre and post procedure perception of symptom severity according to the patient assessment of upper gastrointestinal symptoms severity index (PAGI-SYM), gastroparesis cardinal symptom index (GCSI) score, and 36-item short form survey (SF36) score along with gastric emptying scintigraphy (GES) were analyzed. Seven PTx recipients underwent G-POEM for persistent gastroparesis symptoms. The majority were female. All reported nausea/vomiting, abdominal pain, bloating, and post prandial fullness prior to G-POEM. The post procedure survey scores improved in all patients although this was not significant. The improvement in gastric emptying on GES was statistically significant. G-POEM is a relatively new treatment option for gastroparesis. While it requires specialized proceduralist and training, we have documented improvement in the management of symptoms. With increasing experience, we anticipate more significant benefit in post PTx patients with persistent symptoms of gastroparesis undergoing G-POEM.

PMID:37922244 | DOI:10.1111/ctr.15176

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Nevin Manimala Statistics

Diabetes mellitus and blood glucose variability increases the 30-day readmission rate after kidney transplantation

Clin Transplant. 2023 Nov 3:e15177. doi: 10.1111/ctr.15177. Online ahead of print.

ABSTRACT

INTRODUCTION: Inpatient hyperglycemia is an established independent risk factor among several patient cohorts for hospital readmission. This has not been studied after kidney transplantation. Nearly one-third of patients who have undergone a kidney transplant reportedly experience 30-day readmission.

METHODS: Data on first-time solitary kidney transplantations were retrieved between September 2015 and December 2018. Information was linked to the electronic health records to determine diagnosis of diabetes mellitus and extract glucometric and insulin therapy data. Univariate logistic regression analysis and the XGBoost algorithm were used to predict 30-day readmission. We report the average performance of the models on the testing set on bootstrapped partitions of the data to ensure statistical significance.

RESULTS: The cohort included 1036 patients who received kidney transplantation; 224 (22%) experienced 30-day readmission. The machine learning algorithm was able to predict 30-day readmission with an average area under the receiver operator curve (AUC) of 78% with (76.1%, 79.9%) 95% confidence interval (CI). We observed statistically significant differences in the presence of pretransplant diabetes, inpatient-hyperglycemia, inpatient-hypoglycemia, minimum and maximum glucose values among those with higher 30-day readmission rates. The XGBoost model identified the index admission length of stay, presence of hyper- and hypoglycemia, the recipient and donor body mass index (BMI) values, presence of delayed graft function, and African American race as the most predictive risk factors of 30-day readmission. Additionally, significant variations in the therapeutic management of blood glucose by providers were observed.

CONCLUSIONS: Suboptimal glucose metrics during hospitalization after kidney transplantation are associated with an increased risk for 30-day hospital readmission. Optimizing hospital blood glucose management, a modifiable factor, after kidney transplantation may reduce the risk of 30-day readmission.

PMID:37922214 | DOI:10.1111/ctr.15177

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Nevin Manimala Statistics

Data Type Agnostic Visual Sensitivity Analysis

IEEE Trans Vis Comput Graph. 2023 Nov 3;PP. doi: 10.1109/TVCG.2023.3327203. Online ahead of print.

ABSTRACT

Modern science and industry rely on computational models for simulation, prediction, and data analysis. Spatial blind source separation (SBSS) is a model used to analyze spatial data. Designed explicitly for spatial data analysis, it is superior to popular non-spatial methods, like PCA. However, a challenge to its practical use is setting two complex tuning parameters, which requires parameter space analysis. In this paper, we focus on sensitivity analysis (SA). SBSS parameters and outputs are spatial data, which makes SA difficult as few SA approaches in the literature assume such complex data on both sides of the model. Based on the requirements in our design study with statistics experts, we developed a visual analytics prototype for data type agnostic visual sensitivity analysis that fits SBSS and other contexts. The main advantage of our approach is that it requires only dissimilarity measures for parameter settings and outputs (Fig. 1). We evaluated the prototype heuristically with visualization experts and through interviews with two SBSS experts. In addition, we show the transferability of our approach by applying it to microclimate simulations. Study participants could confirm suspected and known parameter-output relations, find surprising associations, and identify parameter subspaces to examine in the future. During our design study and evaluation, we identified challenging future research opportunities.

PMID:37922175 | DOI:10.1109/TVCG.2023.3327203

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Nevin Manimala Statistics

Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection

IEEE J Biomed Health Inform. 2023 Nov 3;PP. doi: 10.1109/JBHI.2023.3323533. Online ahead of print.

ABSTRACT

The assessment of implant status and complications of Total Hip Replacement (THR) relies mainly on the clinical evaluation of the X-ray images to analyse the implant and the surrounding rigid structures. Current clinical practise depends on the manual identification of important landmarks to define the implant boundary and to analyse many features in arthroplasty X-ray images, which is time-consuming and could be prone to human error. Semantic segmentation based on the Convolutional Neural Network (CNN) has demonstrated successful results in many medical segmentation tasks. However, these networks cannot define explicit properties that lead to inaccurate segmentation, especially with the limited size of image datasets. Our work integrates clinical knowledge with CNN to segment the implant and detect important features simultaneously. This is instrumental in the diagnosis of complications of arthroplasty, particularly for loose implant and implant-closed bone fractures, where the location of the fracture in relation to the implant must be accurately determined. In this work, we define the points of interest using Gruen zones that represent the interface of the implant with the surrounding bone to build a Statistical Shape Model (SSM). We propose a multitask CNN that combines regression of pose and shape parameters constructed from the SSM and semantic segmentation of the implant. This integrated approach has improved the estimation of implant shape, from 74% to 80% dice score, making segmentation realistic and allowing automatic detection of Gruen zones. To train and evaluate our method, we generated a dataset of annotated hip arthroplasty X-ray images that will be made available.

PMID:37922163 | DOI:10.1109/JBHI.2023.3323533

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Nevin Manimala Statistics

Learning curve for robotic rectal cancer resection at a community-based teaching institution

J Robot Surg. 2023 Nov 3. doi: 10.1007/s11701-023-01671-2. Online ahead of print.

ABSTRACT

The surgical management of rectal cancer is shifting toward more widespread use of robotics across a spectrum of medical centers. There is evidence that the oncologic outcomes are equivalent to laparoscopic resections, and the post-operative outcomes may be improved. This study aims to evaluate the learning curve of robotic rectal cancer resections at a community-based teaching institution and evaluate clinical and oncologic outcomes. A retrospective review of consecutive robotic rectal cancer resections by a single surgeon was performed for a five-year period. The cumulative sum (CUSUM) for total operative time was calculated and plotted to establish a learning curve. The oncologic and post-operative outcomes for each phase were analyzed and compared. The CUSUM learning curve yielded two phases, the learning phase (cases 1-79) and the proficiency phase (cases 80-130). The median operative time was significantly lower in the proficiency phase. The type of neoadjuvant therapy used between the two groups was statistically different, with chemoradiation being the primary regimen in the learning phase and total neoadjuvant therapy being more common in the proficiency phase. Otherwise, oncologic and overall post-operative outcomes were not significantly different between the groups. Robotic rectal resections can be done in a community-based hospital system by trained surgeons with outcomes that are favorable and similar to larger institutions.

PMID:37922066 | DOI:10.1007/s11701-023-01671-2

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Nevin Manimala Statistics

Assessment of Hygiene Practices, Awareness, and Water Consumption Regarding Covid-19 Among Children in a Refugee Camp

Matern Child Health J. 2023 Nov 3. doi: 10.1007/s10995-023-03833-y. Online ahead of print.

ABSTRACT

INTRODUCTION: At the outbreak of infectious diseases, the response of different communities to the disease varies, and children are most affected by the collective anxiety and grief that consequently arises. In this research, the behavior of children and their parents in terms of hygiene and precautions before and during the COVID-19 pandemic was investigated.

METHODOLOGY: The focus of the present research was on sanitation facilities, particularly access to end-use of water for hand washing. The research was conducted in Barika Camp, Kurdistan, Iraq and 311 parents and children were interviewed. A data collection team consisting of two females and one male was responsible for gathering data, primarily from women who served as the main respondents. Questionnaires consisted of three main parts: demography, COVID-19 pandemic effects, and sanitary shelter specifications.

RESULT: The results demonstrated that the behavior of refugees during the COVID-19 pandemic regarding the priority of child protection, type of disinfectants, and water consumption has significantly altered. These changes mainly depended on the women’s age and education level.

DISCUSSION: Overall results showed that in 61.09% of the participants, the number of hand washes and in 58.58%, the washing time increased, leading to water shortage in the refugee camp.

PMID:37922059 | DOI:10.1007/s10995-023-03833-y

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Nevin Manimala Statistics

Exploring Predictors of Preterm Birth: A Comparative Study of Turkish and Syrian Refugee Women

Matern Child Health J. 2023 Nov 3. doi: 10.1007/s10995-023-03808-z. Online ahead of print.

ABSTRACT

OBJECTIVE: This study is designed to explore associated sociodemographic, birth-related and household characteristics with preterm birth (< 37 weeks) among Turkish and Syrian refugee women.

METHODS: The data utilized in this study were obtained from the Turkey Demographic and Health Survey (TDHS) conducted in 2018. Various statistical analyses, including descriptive statistics, independent sample t-tests, and Chi-square tests, were employed to examine the differences in study variables between Turkish and Syrian refugee women. Furthermore, logistic regression analysis was conducted to identify the associated factors with preterm birth among Turkish and Syrian refugee women, allowing for comparative analysis.

RESULTS: The key findings of this study revealed significant differences in sociodemographic (p < 0.05), birth-related (p < 0.05), and household characteristics (p < 0.05) that are associated with preterm birth among Turkish and Syrian refugee women. Also, nationality (OR: 3.427; 95% CI 2.770-4.241), delivery by c-section (OR: 1.630; 95% CI 1.370-1.939), educational status (OR: 0.674; 95% CI 0.547-0.832), place of delivery (OR: 0.806; 95% CI 0.666-0.975), and number of household members (OR: 1.206; 95% CI 1.013-1.437) were found to be important factors associated with preterm birth risk.

CONCLUSIONS: The key findings of this study contribute to the identification of women’s factors in preterm birth. By understanding the factors that contribute to preterm birth among both Syrian refugee and Turkish women, appropriate interventions can be developed to improve maternal and child health outcomes.

PMID:37922057 | DOI:10.1007/s10995-023-03808-z