Health Services Research and Managerial Epidemiology最新文献

{"title":"Developing a Physical Activity Program for Mothers and Their Children at Risk for Diabetes.","authors":"Susan J Andreae, Anna Lindberg, Thomas Casey, Kristen A Pickett","doi":"10.1177/23333928241284178","DOIUrl":"https://doi.org/10.1177/23333928241284178","url":null,"abstract":"<p><strong>Objective: </strong>Despite growing numbers of initiatives designed to address increasing diabetes prevalence in the U.S., the need remains for effective programs. Because family history is a diabetes risk factor, family focused programs may be a potential strategy to improve the health of the entire family. We present the development process and pretest results of a lifestyle change program for rural-dwelling mothers at risk for diabetes and their children.</p><p><strong>Methods: </strong>We completed semistructured interviews with mothers (<i>N</i> = 17) focusing on program content and activities. Findings informed program development by identifying specific barriers motivators and potential leverage points such as focusing on the intrinsic incentives of health activities. The resulting program was pretested with rural-dwelling mothers (<i>N</i> = 5) who completed program activities with their families and provided feedback via semistructured interviews. All interviews were audio-recorded, transcribed, and analyzed using thematic analysis.</p><p><strong>Results: </strong>While pretest results showed that the program was generally acceptable and feasible, feedback was used to further refine the program. The revised program consists of 8 group sessions with family focused content around physical activity, healthy eating, and making connections while engaging in health activities. Between sessions, mothers tracked the family goals, activity levels, and mood, and documented barriers to discuss during the sessions.</p><p><strong>Conclusions: </strong>Our development process engaged intended program users to codesign a program that focuses on wellness and intrinsic incentives of engaging in health-enhancing activities as a family. By providing strategies to change behaviors as a family, this program aims to improve the mother's health while developing healthy habits in their children.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241284178"},"PeriodicalIF":1.5,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11425785/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142345573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of the COVID-19 Pandemic on Healthcare Utilization among Medically Underserved Patients with Ambulatory Care Sensitive Conditions.","authors":"Neale R Chumbler, Deborah O Ogunsanmi, Satya Surbhi","doi":"10.1177/23333928241283367","DOIUrl":"10.1177/23333928241283367","url":null,"abstract":"<p><strong>Introduction: </strong>This study aims to examine (1) the impact of the pandemic phases on overall and preventable hospitalizations and emergency department (ED) visits, and (2) the effect of the pandemic on these outcomes within subgroup populations including gender, race, patients' residence in health professional shortage areas (HPSA), and residence in a federal poverty level.</p><p><strong>Study design: </strong>We used electronic medical record (EMR) data for the year 2019 and 2020 from a large health system predominantly serving medically underserved patients in the South. We used a difference-in-differences approach to examine changes in weekly rates of overall and preventable hospitalizations and ED visits in the pandemic phase 1 (Mid-March to June of 2020) and phase 2 (July-September of 2020) compared to the same period in 2019 after adjusting for weekly outcome rates in the baseline period (January to Mid-March of 2020) compared to the same period in 2019.</p><p><strong>Results: </strong>The study sample included 1.4 million hospitalizations and ED encounters. In phase 1 of the pandemic, there were significant reductions in overall (-108) and preventable (-75.3) hospitalizations, and overall (-408) and preventable (-306) ED visits when compared to the same period in 2019. In phase 2 of the pandemic, there were significant reductions in overall (-60) and preventable (-43) hospitalizations and in overall (-360) and preventable (-258) ED visits as compared to 2019. We found greater reductions in ED visits, both overall and preventable, during the early pandemic phases among Black patients than among White patients. Similar patterns in the reduction of ED visits were found in Black versus White patients within subgroups of women, men, and those residing in a HPSA and low-income areas.</p><p><strong>Discussion: </strong>Substantial reductions in utilization were observed in Black patients in comparison to white patients and these differences persisted among men, women, and those living in underserved and low-income areas.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241283367"},"PeriodicalIF":1.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11418340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United States.","authors":"Veena Mayya, Rajesh N V P S Kandala, Varadraj Gurupur, Christian King, Giang T Vu, Thomas T H Wan","doi":"10.1177/23333928241275292","DOIUrl":"https://doi.org/10.1177/23333928241275292","url":null,"abstract":"<p><strong>Objective: </strong>Diabetes mellitus is an important chronic disease that is prevalent around the world. Different countries and diverse cultures use varying approaches to dealing with this chronic condition. Also, with the advancement of computation and automated decision-making, many tools and technologies are now available to patients suffering from this disease. In this work, the investigators attempt to analyze approaches taken towards managing this illness in India and the United States.</p><p><strong>Methods: </strong>In this work, the investigators have used available literature and data to compare the use of artificial intelligence in diabetes management.</p><p><strong>Findings: </strong>The article provides key insights to comparison of diabetes management in terms of the nature of the healthcare system, availability, electronic health records, cultural factors, data privacy, affordability, and other important variables. Interestingly, variables such as quality of electronic health records, and cultural factors are key impediments in implementing an efficiency-driven management system for dealing with this chronic disease.</p><p><strong>Conclusion: </strong>The article adds to the body of knowledge associated with the management of this disease, establishing a critical need for using artificial intelligence in diabetes care management.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241275292"},"PeriodicalIF":1.5,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11359439/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142106874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient Opportunities to Self-Schedule in a Large Multisite, Multispecialty Medical Practice: Program Description and Uptake of 7 Unique Processes for Patients to Successfully Self-Schedule (and Reschedule) Their Medical Appointments.","authors":"Frederick North, Rebecca Buss, Elissa M Nelson, Matthew C Thompson, Jennifer Pecina, Brian A Crum","doi":"10.1177/23333928241271933","DOIUrl":"10.1177/23333928241271933","url":null,"abstract":"<p><strong>Introduction: </strong>Patient self-scheduling of medical appointments is becoming more common in many medical institutions. However, the complexity of scheduling multiple specialties, following scheduling guidelines, and managing appointment access requires a variety of processes for a diverse inventory of self-schedulable appointment types.</p><p><strong>Methods: </strong>From 7 unique patient self-scheduling methods, we captured counts of successfully self-scheduled and completed appointments. A process map was created to show the paths of 5 different primary self-scheduling processes (new appointment self-scheduling) and 2 secondary self-scheduling processes (existing appointment self-rescheduling).</p><p><strong>Results: </strong>There were 7 unique processes that led to 733,651 successfully self-scheduled completed visits from January 1 to December 31, 2023 at a multisite, multispecialty clinic. The self-scheduling processes consisted of the following: (1) Ticket offer (appointment \"ticket\" offers for specific visits generated by a provider order or system rules), the software \"ticket\" sent to the patient permits \"admission\" to self-schedule calendar templates (341,591 uses, 46.6%); (2) direct self-scheduled visit for prequalified visit types (203,593 uses, 27.6%); (3) self-reschedule option (patient option to reschedule existing appointment, 79,706 uses, 10.9%); (4) new patient self-scheduled visit via clinic website (does not require portal access, 54,367 uses, 7.4%). (5) automated waitlist self-rescheduled visit (38,649 uses, 5.3%); (6) automated waitlist self-scheduled visit of previously unscheduled visit (10,939 uses, 1.5%); and (7) self-triage self-scheduled visit (4806 uses, 0.7%).</p><p><strong>Conclusion: </strong>The processes for self-scheduling are expanding. Our multispecialty clinic has implemented 7 different processes to help patients successfully self-schedule medical appointments. Some of the processes occur before initial scheduling (such as self-triage), and some are implemented after successful scheduling has already occurred (self-rescheduling option and self-rescheduling aided by an automated waitlist). Continued research is needed to look for measures of success beyond the ability to complete a self-scheduled visit, including the accuracy of the booking (right provider, location, and length of visit).</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241271933"},"PeriodicalIF":1.5,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11342323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142055415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Determinants of Stunting and Identifications of Stunting Risk Profiles Among Under 2-Year-Old Children in Ethiopia. A Latent Class Analysis.","authors":"Anteneh Fikrie, Berhanu Adula, Jitu Beka, Dejene Hailu, Cheru Atsmegiorgis Kitabo, Mark Spigt","doi":"10.1177/23333928241271921","DOIUrl":"10.1177/23333928241271921","url":null,"abstract":"<p><strong>Background: </strong>Childhood stunting has a long-term impact on cognitive development and overall well-being. Understanding varying stunting profiles is crucial for targeted interventions and effective policy-making. Therefore, our study aimed to identify the determinants and stunting risk profiles among 2-year-old children in Ethiopia.</p><p><strong>Methods and materials: </strong>A cross-sectional study was conducted on 395 mother-child pairs attending selected public health centers for growth monitoring and promotion under 5 outpatient departments and immunization services. The data were collected by face-to-face interviews, with the anthropometric data collected using the procedure stipulated by the World Health Organization. The data were entered using Epi Data version 4.6 and exported to STATA 16 and Jamovi version 2.3.28 for analysis. Bayesian logistic regression analysis was conducted to identify potential factors of stunting. Likewise, lifecycle assessment analysis (LCA) was used to examine the heterogeneity of the magnitude of stunting.</p><p><strong>Results: </strong>The overall prevalence of stunting in children under 24 months was 47.34% (95% confidence interval (CI): 42.44-52.29%). The LCA identified 3 distinct risk profiles. The first profile is <b>Class 1</b>, which is labeled as low-risk, comprised 23.8% of the children, and had the lowest prevalence of stunting (23.4%). This group characterized as having a lower risk to stunting. The second profile is <b>Class 2</b>, which is identified as high-risk, comprised 47.1%, and had a high prevalence of stunting (66.7%), indicating a higher susceptibility to stunting compared to Class 1. The third profile is <b>Class 3</b>, which is categorized as mixed-risk and had a moderate stunting prevalence of 35.7%, indicating a complex interplay of factors contributing to stunting.</p><p><strong>Conclusion: </strong>Our study identified 3 distinct risk profiles for stunting in young children. A substantial amount (almost half) is in the high-risk category, where stunting is far more common. The identification of stunting profiles necessitates considering heterogeneity in risk factors in interventions. Healthcare practitioners should screen, provide nutrition counseling, and promote breastfeeding. Policymakers should strengthen social safety nets and support primary education.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241271921"},"PeriodicalIF":1.5,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11329923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141999747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering Agricultural Workers Through Community Health Worker-Led Pesticide Safety Workshops in Washington State.","authors":"Ileana María Ponce-González, Griselda Arias, Elmer Diaz, Michael L Parchman","doi":"10.1177/23333928241271961","DOIUrl":"10.1177/23333928241271961","url":null,"abstract":"<p><strong>Background: </strong>It is difficult to reach migrant or refugee agricultural workers about pesticide exposure prevention. Here, we describe a community health worker (CHW)-led pesticide exposure prevention workshop and the impact of this program among migrant and refugee workers in Washington state.</p><p><strong>Methods: </strong>A focus group of migrants and refugees participated in the development of a CHW-led Spanish language pesticide exposure prevention mobile phone app and workshop. Pre- and post-workshop surveys assessed pesticide training, knowledge, and characteristics.</p><p><strong>Results: </strong>Community health workers facilitated 28 workshops attended by 263 participants from 49 agricultural communities. Approximately 79% of participants reported no prior pesticide training. Significant improvements were observed in the proportion familiar with illnesses associated with pesticides, knowledge about pesticide definition, ability to correctly identify the content of pesticide labels, and the correct method to wash fruits and vegetables.</p><p><strong>Conclusions: </strong>Community health workers are effective in addressing the gaps in pesticide safety education and awareness among migrant and refugee communities. Further work is needed to assess how to better integrate a mobile phone app into this training and subsequent use of the knowledge.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241271961"},"PeriodicalIF":1.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11307349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141906363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying Market Basket Analysis to Determine Complex Coassociations Among Food Allergens in Children With Food Protein-Induced Enterocolitis Syndrome (FPIES).","authors":"Ankona Banerjee, Kenneth Nobleza, Cynthia Haddad, Joshua Eubanks, Ruchit Rana, Nicholas L Rider, Lisa Pompeii, Duc Nguyen, Sara Anvari","doi":"10.1177/23333928241264020","DOIUrl":"10.1177/23333928241264020","url":null,"abstract":"<p><strong>Background: </strong>Food protein-induced enterocolitis syndrome (FPIES) is a non-IgE-mediated food allergy, characterized by delayed onset of repetitive vomiting occurring 1 to 4 h following ingestion of a food allergen. Managing FPIES requires strict avoidance of the food trigger. The concern with FPIES is determining the risk of another FPIES food trigger reaction due to potential coassociations with other foods or food groups. An effective statistical approach for analyzing FPIES-related data is essential to identify common coallergens and their associations.</p><p><strong>Methods: </strong>This study employed Market Basket Analysis, a data-mining technique, to examine correlations and patterns among allergens in FPIES patients at a Houston, Texas, pediatric tertiary center. A retrospective analysis of electronic medical records from January 2018 to March 2022 for allergist diagnosed FPIES patients was conducted. The analysis utilized R software, specifically the \"arules\" and \"arulesViz\" packages, implementing the Apriori algorithm with set minimum support and confidence thresholds.</p><p><strong>Results: </strong>The study included 210 FPIES cases over 4 years, with 112 patients reacting to one food trigger and 98 to more than one trigger. In the latter group, the 5 predominant triggers were cow's milk (45.9%), rice (31.6%), oats (30.6%), soy (22.4%), and avocado (19.4%). Market Basket Analysis identified significant associations between food categories, particularly between soy and dairy, egg and dairy, oat and dairy, rice and dairy, and avocado and dairy.</p><p><strong>Conclusion: </strong>Market Basket Analysis proved effective in identifying patterns and associations in FPIES data. These insights are crucial for healthcare providers in formulating dietary recommendations for FPIES patients. This approach potentially enhances guidance on food introductions and avoidances, thereby improving management and the quality of life for those affected by FPIES.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241264020"},"PeriodicalIF":1.5,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11274009/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141787866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient Care During Ramadan: A Narrative Review.","authors":"M Nadir Bhuiyan, Rayya A Saadiq, Michael R Mueller, Ahmed D Abdalrhim, Joshua Overgaard","doi":"10.1177/23333928241266041","DOIUrl":"https://doi.org/10.1177/23333928241266041","url":null,"abstract":"<p><p>Ramadan is the Islamic holy month when Muslims around the world fast from dawn to sunset. This 30-day pattern of intermittent diurnal fasting can have a significant physiologic impact on the body. Importantly, oral intake is forbidden during this time, and many patients do not wish to take medications. From a clinical perspective, this potentially impacts healthcare delivery and chronic disease states. Despite these important changes, awareness of individual patient practices remains limited among healthcare providers in North America, which may worsen health disparities in Muslim patients. A fundamental understanding of the cultural and physiological implications of fasting during Ramadan can improve cultural competence and patient outcomes. In this paper, we review the physiologic changes during fasting, medical exemptions to fasting, and special considerations for the care of Muslim patients with chronic conditions who may fast during Ramadan.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241266041"},"PeriodicalIF":1.5,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11268016/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141758382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric Evaluation of the Trauma-Informed Care Provider Assessment Tool.","authors":"Carl L Hanson, Ali Crandall, M Lenneth B Novilla, Kaitlyn Tan Bird","doi":"10.1177/23333928241258083","DOIUrl":"10.1177/23333928241258083","url":null,"abstract":"<p><p>The increasing recognition of adverse childhood experiences as a significant factor in adult health outcomes underscores the need for trauma-informed care (TIC) in healthcare settings. The purpose of this study was to assess the psychometric properties of the TIC Provider Assessment Tool (TIC-PAT) designed for primary care providers. The TIC-PAT aligns with the TIC Pyramid framework and assesses both universal trauma precautions and trauma-specific care. A total of 176 primary care providers in the United States completed the TIC-PAT through an anonymous online survey. Findings through exploratory and confirmatory factor analyses revealed a unidimensional (one-factor) model, consolidating questions into a concise 10-item measure. This study contributes an efficient assessment tool for the provision of TIC by primary care providers in healthcare settings, promoting better patient-provider interactions and enhancing provider awareness of trauma's impact on health.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241258083"},"PeriodicalIF":1.6,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11168040/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141310625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Helicobacter Pylori Infection Among Patients Attending Bule Hora University Teaching Hospital, Ethiopia: Five-Year Trends.","authors":"Girma Ashenafi, Alqeer Aliyo, Dangamyelew Tilahun, Tibeso Gemechu, Wako Dedecha, Oliyad Husen, Biruk Sisay","doi":"10.1177/23333928241253684","DOIUrl":"10.1177/23333928241253684","url":null,"abstract":"<p><strong>Background: </strong>Around half of the world's population is infected with <i>Helicobacter pylori</i> (<i>H. pylori</i>), according to data from a recent systematic review. <i>H. pylori</i> infection is extremely common around the world. It is the most prevalent disease in Ethiopia and contributes to both morbidity and mortality. Patients with gastritis, peptic ulcers, and stomach cancer have been reported to harbor <i>H. pylori</i>.</p><p><strong>Objective: </strong>The aim of this study was to determine the trends of <i>Helicobacter Pylori</i> infection among patients attending the Bule Hora University Teaching Hospital from 2018-2022, Bule Hora, Ethiopia.</p><p><strong>Method: </strong>A hospital-based retrospective study design was conducted to recruit 314 sampled data from the logbook, which were five-year data (2018-2022) from the Bule Hora University Teaching Hospitals. Data were extracted using structured checklists. The sample size was calculated using the single-population proportion formula. Study participants were selected using a systematic random sampling technique. Data were entered in EpiData 4.6 and exported to SPSS Version 26 for analysis.</p><p><strong>Results: </strong>Approximately 314 complete data from selected participants were collected and evaluated for the present study. The mean age was 29.01 (SD ± 4.93). Most of the respondents (39.2%) were in the age group of 21 to 30 years. The general prevalence of <i>H. pylori</i> observed in this study is 28% (95% confidence interval [CI], 23-32.9). The prevalence was higher in women (71.6%) than in men (28.4%). In terms of age category, those over 60 years of age were observed with the highest positiveness for <i>H. pylori</i> with 38.1% and the trend of <i>H. pylori</i> prevalence fluctuated from 2018 to 2022.</p><p><strong>Conclusion: </strong>In total, 28% of the study participants had <i>H. pylori</i>, but there was variation in the prevalence of <i>H. pylori</i> infection between 2018 and 2022. Compared to other age groups, the 60-year-old age group had a higher prevalence of <i>H. pylori</i> and this prevalence continued to increase annually. The concerned parties must be interested in raising awareness and establishing criteria for the eradication of these bacteria.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"11 ","pages":"23333928241253684"},"PeriodicalIF":1.6,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11110529/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141080527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}