Health Research Research Articles

European Health Information Portal: a one-stop shop for health information.

Timely and high-quality population-level health information is needed to support evidence-informed decision-making, for planning and evaluation of prevention, care and cure activities as well as for research to generate new knowledge. FAIR (Findable, Accessible, Interoperable and Reusable) principles are one of the key elements supporting health research and making it more cost-effective through the reuse of already existing data. Currently, health data are in many countries dispersed and difficult to find and access. Two EU Public Health Programmes co-funded Joint Actions, Information for Action (InfAct) and Population Health Information Research Infrastructure (PHIRI) have established a European Health Information Portal, a web-based service, to facilitate better findability, access, interoperability and reuse of existing health information. The European Health Information Portal (www.healthinformationportal.eu) has been established including sections on National Nodes, data sources, publications, health information projects within countries and across Europe, research networks and research infrastructures, ethical and legal issues for health information exchange and use, capacity-building activities in all areas of population health and a dedicated COVID-19 section. The European Health Information Portal, being a central place for a wide range of population health information from EU Member States, is an information source for researchers, policy-makers and other relevant stakeholders. It is important to ensure the sustainability of the portal, especially in light of the European Health Data Space (EHDS) Regulation proposal and its requirements regarding the secondary use of health data.

Epidemiology of systemic sclerosis in Quebec, Canada: a population-based study

Systemic sclerosis (SSc) is a systemic life-threatening autoimmune rheumatic disease. We aimed to assess the incidence, prevalence, mortality and spatiotemporal trends of SSc in Quebec, Canada with stratification by sex and age. SSc cases were identified from Quebec populational databases from 1989 to 2019. Negative Binomial (NB) Generalized Linear Models were used for age-standardized incidence rates (ASIR) analyses and NB random walk for prevalence and mortality. A Poisson Besag-York-Mollié regression model was used for spatial analysis. 8180 incident SSc cases were identified between 1996 and 2019 with an average age of 57.3±16.3 years. The overall ASIR was 4.14/100,000 person-years (95%, Confidence Interval (CI) 4.05-4.24) with a 4:1 female predominance. ASIR increased steadily over time with an Average Annual Percent Change (AAPC) of 3.94% (95% CI 3.49-4.38). While the highest incidence rates were in those aged 60-79 years old among females and >80 years old among males, the highest AAPC (∼10%) was seen in children. Standarized incidence ratios varied geographically between 0.52 to 1.64. The average prevalence was 28.96/100,000 persons (95% CI 28.72-29.20). The Standardized Mortality Ratio (SMR) decreased from 4.18 (95% CI 3.64-4.76) in 1996 to 2.69 (95% CI 2.42-2.98) in 2019. Females had a greater SMR until 2007 and males thereafter. The highest SMR was in children and young adults [31.2 (95% CI 8.39-79.82) in the 0-19-year age group]. We showed an increasing trend in SSc incidence and prevalence and a decline in SMR over a 25-year period in Quebec. An uneven geographic distribution of SSc incidence was demonstrated. National Scleroderma Foundation, Canadian Dermatology Foundation/Canadian Institutes of Health Research.

COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter

The COVID-19 pandemic has sparked widespread health-related discussions on social media platforms like Twitter (now named ‘X’). However, the lack of labeled Twitter data poses significant challenges for theme-based classification and tweet aggregation. To address this gap, we developed a machine learning-based web application that automatically classifies COVID-19 discourses into five categories: health risks, prevention, symptoms, transmission, and treatment. We collected and labeled 6,667 COVID-19-related tweets using the Twitter API, and applied various feature extraction methods to extract relevant features. We then compared the performance of seven classical machine learning algorithms (Decision Tree, Random Forest, Stochastic Gradient Descent, Adaboost, K-Nearest Neighbour, Logistic Regression, and Linear SVC) and four deep learning techniques (LSTM, CNN, RNN, and BERT) for classification. Our results show that the CNN achieved the highest precision (90.41%), recall (90.4%), F1 score (90.4%), and accuracy (90.4%). The Linear SVC algorithm exhibited the highest precision (85.71%), recall (86.94%), and F1 score (86.13%) among classical machine learning approaches. Our study advances the field of health-related data analysis and classification, and offers a publicly accessible web-based tool for public health researchers and practitioners. This tool has the potential to support addressing public health challenges and enhancing awareness during pandemics. The dataset and application are accessible at https://github.com/Bishal16/COVID19-Health-Related-Data-Classification-Website.

Mapping Dysphagia Research Trends in Community Dwelling Older Adults: A Bibliometric Analysis.

In recent years, research on dysphagia has gained significant traction as one of the key topics of oral health research pertaining to the aged. Numerous academics have studied dysphagia in great detail and have produced numerous excellent scientific research findings. To review the literature regarding dysphagia in community-dwelling older adults and identify the knowledge and trends using bibliometric methods. The literature on dysphagia in older adults in the community was gathered from the Web of Science Core Collection (WoSCC), with inclusion criteria specifying English-language publications. The retrieval deadline was November 28, 2022. We extracted the following data: title, year, abstract, author, keywords, institution, and cited literature, and used CiteSpace (version 6.1.R3) to visualize the data through the knowledge map, burst keyword analysis, cluster analysis, and collaborative network analysis. A total of 979 articles and reviews were retrieved. Regarding productivity, the top 2 countries were the United States (n =239) and Japan (n =236). Hidetaka Wakabayashi (n =26) was one of the most prolific writers. The first paper in the frequency ranking of references cited was a white paper: European Society for Swallowing Disorders and European Union Geriatric Medicine Society white paper: oropharyngeal dysphagia as a geriatric syndrome (n =53). "Prevalence" (n =173), "risk factor" (n =119), and "aspiration pneumonia" (n =108) were the most frequently occurring keywords (excluding defining nouns). The study identified reliability, tongue pressure, home discharge, and swallowing function as research hotspots from 2020 to 2022. Prevalence, risk factors, and pneumonia are significant areas of study. Tongue pressure and sarcopenia are research hotspots and potential targets. In the future, research on dysphagia needs to refine strategies for prevention and control, as well as provide tertiary preventative services.

Cost effectiveness analysis of a fixed dose combination pill for primary prevention of cardiovascular disease from an individual participant data meta-analysis

Cardiovascular disease (CVD) continues to impart a large burden on the global population, especially in lower income countries where affordability limits the use of cardiovascular medicines. A fixed dose combination strategy of at least 2 blood pressure lowering medications and a statin with aspirin in a single pill has been shown to reduce the risk of incident CVD by 38% in primary prevention in a recent meta-analysis. We report the in-trial (median follow-up: 5 years) cost-effectiveness of a fixed dose combination (FDC) pill in different income groups based on data from that meta-analysis. Countries were categorized using World Bank economic groups: Lower Middle Income Countries (LMIC), Upper Middle Income Countries (UMIC) and High Income Countries (HIC). Country specific costs were obtained for hospitalized events, procedures, and non-study medications (2020 USD). FDC price was based on the cheapest equivalent substitute (CES) for each component. For the CES-FDC pill versus control the difference in cost was $346 (95% CI: $294-$398) per participant in Lower Middle Income Countries, $838 (95% CI: $781-$895) in Upper Middle Income Countries and $42 (95% CI:-$155 to $239) (cost-neutral) in High Income Countries. During the study period the CES-FDC pill was associated with incremental gain in quality-adjusted life years of 0.06 (95% CI: 0.04-0.08) resulting in an incremental cost-effectiveness ratio (ICER) of $5767 (95% CI: 5735-$5799), $13,937 (95% CI: $13,893-$14,041) and $700 (95% CI: $662-$738) respectively. In subgroups analyses, the highest 10 years CVD risk subgroup had ICERs of $2033, $7322 and-$6000/QALY. A FDC pill produced at CES costs is cost-neutral in HIC. Governments of LMI and UMI countries should assess these results based on the ICER threshold accepted in their own country and own specific health care priorities but should consider prioritizing this strategy for patients with high 10 years CVD risk as a first step. Population Health Research Institute.

HAP-FAST: a feasibility study incorporating qualitative, mechanistic and costing sub-studies alongside a randomised pilot trial comparing chest x-ray to low-dose CT scan and empirical antibiotics to antibiotics guided by the BIOFIRE® FILM ARRAY® pneumonia plus panel in adults with suspected non-ventilator-associated hospital-acquired pneumonia

IntroductionNon-ventilator-associated hospital-acquired pneumonia (nv-HAP) is the most common healthcare-associated infection (HCAI), is associated with high mortality and morbidity and places a major burden on healthcare systems. Diagnosis currently relies on...

Characterization of Hearing Loss in Pediatric Patients with Osteogenesis Imperfecta

IntroductionOsteogenesis imperfecta (OI) is a common heritable disorder affecting type 1 collagen. The sequelae of OI vary, but hearing loss is a significant complication with 46-58% of patients having some degree of hearing loss. Previous studies have suggested patients with OI may have conductive, sensorineural, or mixed hearing loss. Majority of these studies focus on the adult population. ObjectivesIdentify a relationship between OI and hearing loss in the pediatric population. MethodsThe TriNetx Analytics Network, a federated health research network that aggregates the de-identified electronic health record data of over 78 million patients across the United States, was queried for patients 18 years old or younger with a diagnosis of OI. Patients in this group with diagnosis of sensorineural, conductive, or mixed hearing loss were recorded. Patients with diagnoses of congenital cytomegalovirus, congenital inner ear malformations, and noise-induced hearing loss were excluded from analysis. ResultsOut of 3256 patients 18 years old or younger with OI, 10.07% (95% CI: 9.06-11.16) had a history of any form of hearing loss, 5.71% (95% CI: 4.94-6.57) had conductive hearing loss, 3.01% (95% CI: 2.45-3.66) had sensorineural hearing loss, and 1.35% (95% CI: 0.98-1.81) had mixed hearing loss. Relative risks for diagnosis of any type of hearing loss, conductive hearing loss, sensorineural hearing loss, and mixed hearing loss were calculated: 5.90 (95% CI 5.32-6.53), 5.08 (95% CI 4.42-5.84), 6.18 (95% CI 5.09-7.51), and 13.86 (95% CI 10.33-18.59) respectively. DiscussionThis study is the largest to date that describes a relationship between OI and conductive, sensorineural, and mixed hearing loss. Pediatric patients with OI are almost five times as likely to have any type of hearing loss. There was a significant increased risk in each subgroup, but conductive hearing loss was the most common for hearing loss in children with OI. The highest risk subtype when compared to controls was mixed hearing loss.

Conotruncal Heart Defects: A Narrative Review of Molecular Genetics, Genomics Research and Innovation.

Congenital heart defects (CHDs) are most prevalent cardiac defects that occur at birth, leading to significant neonatal mortality and morbidity, especially in the developing nations. Among the CHDs, conotruncal heart defects (CTDs) are particularly noteworthy, comprising a significant portion of congenital cardiac anomalies. While advances in imaging and surgical techniques have improved the diagnosis, prognosis, and management of CTDs, their molecular genetics and genomic substrates remain incompletely understood. This expert review covers the recent advances from January 2016 onward and examines the complexities surrounding the genetic etiologies, prevalence, embryology, diagnosis, and clinical management of CTDs. We also emphasize the known copy number variants and single nucleotide variants associated with CTDs, along with the current planetary health research efforts aimed at CTDs in large cohort studies. In all, this comprehensive narrative review of molecular genetics and genomics research and innovation on CTDs draws from and highlights selected works from around the world and offers new ideas for advances in CTD diagnosis, precision medicine interventions, and accurate assessment of prognosis and recurrence risks.

A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery. Data from an international, prospective cohort study were used to develop a novel prognostic risk model for pulmonary complications after elective surgery in adult patients (aged ≥18 years) across all operation and disease types. The primary outcome measure was postoperative pulmonary complications at 30 days after surgery, which was a composite of pneumonia, acute respiratory distress syndrome, and unexpected mechanical ventilation. Model development with candidate predictor variables was done in the GlobalSurg-CovidSurg Week dataset (global; October, 2020). Two structured machine learning techniques were explored (XGBoost and the least absolute shrinkage and selection operator [LASSO]), and the model with the best performance (GSU-Pulmonary Score) underwent internal validation using bootstrap resampling. The discrimination and calibration of the score were externally validated in two further prospective cohorts: CovidSurg-Cancer (worldwide; February to August, 2020, during the COVID-19 pandemic) and RECON (UK and Australasia; January to October, 2019, before the COVID-19 pandemic). The model was deployed as an online web application. The GlobalSurg-CovidSurg Week and CovidSurg-Cancer studies were registered with ClinicalTrials.gov, NCT04509986 and NCT04384926. Prognostic models were developed from 13 candidate predictor variables in data from 86 231 patients (1158 hospitals in 114 countries). External validation included 30 492 patients from CovidSurg-Cancer (726 hospitals in 75 countries) and 6789 from RECON (150 hospitals in three countries). The overall rates of pulmonary complications were 2·0% in derivation data, and 3·9% (CovidSurg-Cancer) and 4·7% (RECON) in the validation datasets. Penalised regression using LASSO had similar discrimination to XGBoost (area under the receiver operating curve [AUROC] 0·786, 95% CI 0·774-0·798 vs 0·785, 0·772-0·797), was more explainable, and required fewer covariables. The final GSU-Pulmonary Score included ten predictor variables and showed good discrimination and calibration upon internal validation (AUROC 0·773, 95% CI 0·751-0·795; Brier score 0·020, calibration in the large [CITL] 0·034, slope 0·954). The model performance was acceptable on external validation in CovidSurg-Cancer (AUROC 0·746, 95% CI 0·733-0·760; Brier score 0·036, CITL 0·109, slope 1·056), but with some miscalibration in RECON data (AUROC 0·716, 95% CI 0·689-0·744; Brier score 0·045, CITL 1·040, slope 1·009). This novel prognostic risk score uses simple predictor variables available at the time of a decision for elective surgery that can accurately stratify patients' risk of postoperative pulmonary complications, including during SARS-CoV-2 outbreaks. It could inform surgical consent, resource allocation, and hospital-level prioritisation as elective surgery is upscaled to address global backlogs. National Institute for Health Research.

Reporting quality of published reviews of commercial and publicly available mobile health apps (mHealth app reviews): a scoping review protocol

IntroductionReviews of commercial and publicly available smartphone (mobile) health applications (mHealth app reviews) are being undertaken and published. However, there is variation in the conduct and reporting of mHealth app...

Exploring Health Research Priority Setting in a South African Province: A Nominal Group Technique Approach

In August 2022, the Free State Provincial Health Research Committee used the online nominal group technique (NGT) for Health Research Priority Setting (HRPS) for the Free State Department of Health (FSDoH) and the research community, considering various stakeholders’ perspectives. This paper explores and describes the identified health research priorities. It also assesses their alignment with the National Health Research Strategy. Additionally, it provides an opinion on the feasibility of using the online NGT for collaborative co-creation of provincial-level health research priorities. Most of the identified health research priorities resonate with the national health research priorities identified by the National Health Research Committee. However, research to “strengthen surveillance” was uniquely perceived to be a priority by the participants in the Free State HRPS exercise. A plausible reason for this might be their heightened awareness of the vital role optimal surveillance systems play in coordinating intersectoral responses to pandemics, particularly considering the serious challenges emerging during the initial stages of the COVID-19 outbreak.

Child and Adolescent Violent Behavior and Psychotropic Medications: Behavioral Health and Epidemiological Research Issues for a Post SARS-CoV-2 Environment

Child and Adolescent Violent Behavior and Psychotropic Medications: Behavioral Health and Epidemiological Research Issues for a Post SARS-CoV-2 Environment

Perceived Prevalence, Awareness and Attitude towards Counterfeit Medicines among Community Pharmacists of Kathmandu Valley: A Descriptive Cross-sectional Study

Introduction: Counterfeit medicines are a significant problem globally. In a developing country like Nepal, community pharmacists play an important role in dispensing medicines. The study was done to assess community pharmacists’ perceived prevalence, awareness and attitude towards counterfeit medicines in Kathmandu valley. Methods: A cross-sectional study design was used. Data was collected conveniently from Kathmandu, Bhaktapur, and Lalitpur districts in March 2022 after obtaining ethical clearance from Nepal Health Research Council (reference no. 2200) and taking written informed consent from Community Pharmacists. Results: Among the 343 pharmacists who participated, 250 (72.89%) were from Kathmandu, 57 (16.62%) were from Lalitpur, and 36 (10.50%) from Bhaktapur. Most 252 (73.47%) were aged between 20 to 30 years, 222 (64.72%) were male, 239 (69.68%) had done a Diploma in Pharmacy, 201 (58.60%) had working experience of more than 5 years and 342 (99.71%) had done their education in Nepal. Their median perceived prevalence of counterfeit drugs was 10.00% but only 2.30% had clear knowledge of such practice. 332 (96.79%) believed that actions should be taken against community pharmacists dispensing counterfeit drugs, 325 (94.75%) believed that pharmacists who dispense counterfeit medicines are unprofessional; 338 (98.54%) stated that there should be strong law againstcounterfeit medicine sales.Conclusions: Median perceived prevalence of counterfeit medicines was 10.00% but only 2.30% were aware of counterfeit medicine dispensing. Out of 343 pharmacists, 332 (96.79%) mentioned that action should be taken against those pharmacists knowingly dispensing counterfeit medicines and 338 (98.54%) stated that there should be strong law against counterfeit medicines.

Cervical Cancer Screening Services in Nepal: A Descriptive Crosssectional Study

Introduction: Cervical cancer, the most prevalent cancer among women, is also the primary cause of cancer-related deaths in reproductive age women in Nepal. The study aims to assess the situation of cervical cancer screening services in Nepal.Methods: This cross-sectional study used quantitative methods to understand the situation of cervical cancer screening in 572 health facilities of Nepal. The research was conducted to assess screening facilities, the allocation of separate screening rooms, the availability of screening services on a routine basis throughout the week, screening facilities that are free of charge, human resources, and the availability of treatment. It was conducted in October to December 2022. Results: The research was carried out among 572 healthcare facilities, out of which 134 (23.42%) had provision for cervical cancer screening services. Ethical approval was obtained from the Nepal Health Research Council (NHRC) under reference number 397/2022 P. Amongst those 134, 72 (53.73%) healthcare facilities had assigned separate rooms for screening intentions. One hundred andtwo (76.12%) healthcare facilities provided regular screening services throughout the week, while 112 (83.58 %) had free-of-charge screening services. Concerning trained personnel, 121 (90.30%) health facilities had personnel trained in visual inspection with Acetic acid, 9 (6.72%) had personnel trained in use of colposcopy, and 5 (3.73%) had personnel trained in use of Loop ElectrosurgicalExcision Procedure (LEEP). Lastly, 31 (23.13%) healthcare facilities offered treatment choices for cervical cancer. Conclusions: Most of the health care facilities did not have provision of cervical screening. Amongstthose who had the provision, personnel trained in loop electrosurgical excision procedure colposcopy.

Status of Research Funding in Nepal: A Scoping Review

With the rapid advancement of health delivery, there has been a renewed interest in conducting research among healthcare professionals in Nepal. However, concern is there regarding availability of funds and mechanisms of awarding. The purpose of this scoping review is to map the available evidence regarding the evolution and current status of health research funding in Nepal and to highlight gaps and areas for future research. We searched three databases for empirical papers and several gray literature. Our search, conducted between March and April 2024 yielded 76 documents of which 30 that met the selection criteria were included in the scoping review. Almost all studies identified lack of funding as a deterrent to research. We found a paucity of research focusing on the role of researchers in funding decision-making. Our findings revealed that there are 12 national and four international organizations providing funds for research. University Grant Commission is the largest funder from Nepal whereas the Research Council of Norway is the biggest international funder. There were certain barriers and facilitators for obtaining funds identified by this scoping review. Further efforts are needed to increase the amount and availability of funds in Nepal to enable high-quality research.

Knowledge gaps in existing research exploring sexual fluidity and mental health among young adults

While there is a large body of evidence indicating that sexual minority youth experience inequitably high rates of mental health problems (eg, depression, suicidality), we know little about how temporal...

Is there any relationship of serum Growth Differentiation Factor 15 and Iron Profile with Age?

Objective: To compare growth differentiation Factor-15(GDF-15), iron and ferritin levels in younger and elderly patients suffering from end stage renal disease on hemodialysis and to determine is there any age-related change in these markers?.Methodology:This cross-sectional comparative study was conducted in the Nephrology Department of Sheikh Zayed Hospital Lahore from January 2018 to December 2018 after getting approval from Institutional Review Board of National Health Research Complex (NHRC) with vide no. F39/NHRC/Admin/IRB/372 Written consent was taken from patients.Group A has less than 60 years, while group B was with patients of greater than 60 years of age.Serum GDF-15, serum iron and ferritin of hemodialysis patients were determined by ELISA. Statistical analysis was done by SPSS 22.0 Results: The total number of patients was 140. Group A has 86 patients (40 male and 46 female). Group B had 54 patients(36 male and 17 female). Group A and Group B participants had serum median (IQR) GDF-15 levels 684(120-1604) and 2650(369-3625)pg/ml respectively, (P value 0.001) Conclusion: GDF-15 levels were significantly elevated in patients greater than 60 years of age and ferritin levels were similar in all age groups.

Acceptability of artificial intelligence for cervical cancer screening in Dschang, Cameroon: a qualitative study on patient perspectives

BackgroundCervical cancer is the fourth most frequent cancer among women, with 90% of cervical cancer-related deaths occurring in low- and middle-income countries like Cameroon. Visual inspection with acetic acid is often used in low-resource settings to screen for cervical cancer; however, its accuracy can be limited. To address this issue, the Swiss Federal Institute of Technology Lausanne and the University Hospitals of Geneva are collaborating to develop an automated smartphone-based image classifier that serves as a computer aided diagnosis tool for cancerous lesions. The primary objective of this study is to explore the acceptability and perspectives of women in Dschang regarding the usage of a screening tool for cervical cancer relying on artificial intelligence. A secondary objective is to understand the preferred form and type of information women would like to receive regarding this artificial intelligence-based screening tool.MethodsA qualitative methodology was employed to gain better insight into the women’s perspectives. Participants, aged between 30 and 49 were invited from both rural and urban regions and semi-structured interviews using a pre-tested interview guide were conducted. The focus groups were divided on the basis of level of education, as well as HPV status. The interviews were audio-recorded, transcribed, and coded using the ATLAS.ti software.ResultsA total of 32 participants took part in the six focus groups, and 38% of participants had a primary level of education. The perspectives identified were classified using an adapted version of the Technology Acceptance Model. Key factors influencing the acceptability of artificial intelligence include privacy concerns, perceived usefulness, and trust in the competence of providers, accuracy of the tool as well as the potential negative impact of smartphones.ConclusionThe results suggest that an artificial intelligence-based screening tool for cervical cancer is mostly acceptable to the women in Dschang. By ensuring patient confidentiality and by providing clear explanations, acceptance can be fostered in the community and uptake of cervical cancer screening can be improved.Trial registrationEthical Cantonal Board of Geneva, Switzerland (CCER, N°2017–0110 and CER-amendment n°4) and Cameroonian National Ethics Committee for Human Health Research (N°2022/12/1518/CE/CNERSH/SP). NCT: 03757299.

Quality of Life and Compliance Based On Hypertension Patient Characteristics At Krobokan Primary Health Center West Semarang District

Hypertension is the chronic diseases that is a health problem in Indonesia. According to the Basic Health Research 2018 the hypertension population in Indonesia is around 34.1% at the age of ≥18 years. Every year hypertension sufferers are increasing, around 29% of adults suffer from hypertension worldwide. Patients with hypertension require long therapy even for life which certainly makes patients continuously consume antihypertensive drugs which can ultimately affect patient compliance and quality of life. The purpose of the study was to determine description of quality of life and adherence based on hypertention patient at Krobokan Primary Health Center, West Semarang district. This study used a quantitative design with observational research and a cross-sectional approach conducted in the period March-May 2023. The instruments used were MMAS-8 and HRQOL SF-36 as many as 53 samples who met the inclusion criteria. The results showed that the highest respondent characteristics were female 36 (68%), age 56 - 65 years 26 (49%), high school 18 (34%), housewives 31 (58%), length of hypertension ≥ 2 years 27 (51%), one of hypertention drug taken 50 (94%), suffering from other illnesses 23 (43%) and moderate adherance 36 (68%). In the domains of energy, emotional role, physical role, physical function and general health had a low quality of life in most patients with moderate adherence

Lived Experiences of Cervical Cancer Patients Receiving Chemotherapy at Cancer Diseases Hospital in Lusaka, Zambia

Background: Cervical Cancer poses a significant global health challenge, especially in lowresource settings. It is a significant health problem worldwide, with over half a million new cases diagnosed each year, accounting for approximately 6.6% of all gynecological Cancer cases and over 300,000 deaths each year. In Zambia, it is the leading cause of mortality and morbidity among women. The number of cases has increased by approximately 40%. This study explored the lived experiences of Cervical Cancer patients undergoing chemotherapy at the Cancer Diseases Hospital in Lusaka, Zambia, focusing on their subjective experiences. By examining their journeys through chemotherapy, the study aimed to highlight the subtle complexities in which treatment impacts patients’ lives and well-being. Methods and procedures: Employing a qualitative descriptive phenomenological study design, in-depth interviews were conducted with 10 participants with diverse demographics. The sample size was determined by data saturation and saturation was reached at 10. Ethical protocols were ensured, and Study approval was obtained from UNZABREC and the National Health Research Authority. Thematic analysis was conducted on audio-recorded interviews with cervical cancer patients, ensuring confidentiality and accuracy while discerning significant patterns and themes in their narratives. Results/findings: Emotional experiences ranged from anxiety to gratitude. Psychological challenges encompassed coping mechanisms, stress management, emotional adjustments, and treatment-related fears. Socially, community support, workplace accommodations, and healthcare provider roles were key. Physical experiences revealed side effects managed through coping strategies. Financial challenges significantly impacted individuals and families. Conclusions and recommendations: The study revealed that cervical cancer patients undergoing chemotherapy face complex challenges spanning emotional, psychological, social, physical, and financial domains, underscoring the imperative for comprehensive patient-centered care. Recommendations suggest focusing on financial aid for cancer patients and tackling treatment expenses and insurance issues. The Cancer Diseases Hospital should establish multidisciplinary teams for holistic care, and enhance patient education efforts. Nurses should adopt strategies integrating cultural competence and patient-centered care to address diverse challenges during chemotherapy. These aim to enhance the well-being and care quality of Cervical Cancer patients.