Population Health Management最新文献_第3页

Postpartum Medicaid Coverage Expansion and Changes in the Risk of Health Insurance Loss Within the Second Year After Birth. 产后医疗补助覆盖范围扩大和出生后第二年健康保险损失风险的变化。

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2025-11-06 DOI: 10.1177/19427891251393727

Michael McFayden, Nupur Jain, Neha Joseph, Em Long-Mills, James L Whiteside, Dmitry Tumin

引用次数: 0

A Multi-Intervention Approach to Blood Pressure Control: A Description of How a Large University Based Primary Care Clinic Tackled Hypertension. 血压控制的多干预方法：一所大型大学初级保健诊所如何处理高血压的描述。

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2026-02-05 DOI: 10.1177/19427891251393941

Ingrid Lobo, Kelly Koon, Kristin Potthast, Kimberly Ozmina, Sarah J Billups

{"title":"A Multi-Intervention Approach to Blood Pressure Control: A Description of How a Large University Based Primary Care Clinic Tackled Hypertension.","authors":"Ingrid Lobo, Kelly Koon, Kristin Potthast, Kimberly Ozmina, Sarah J Billups","doi":"10.1177/19427891251393941","DOIUrl":"10.1177/19427891251393941","url":null,"abstract":"Uncontrolled hypertension remains a leading modifiable risk factor for cardiovascular disease. Numerous quality improvement initiatives have aimed to address health care challenges associated with uncontrolled hypertension, many of which have been organized around the American Medical Association Measure Accurately, Act Rapidly, and Partner with Patients (AMA MAP) hypertension quality improvement framework. This paper describes a multifaceted hypertension quality improvement program initiated within a large university-based internal medicine clinic. Key interventions targeted at \"Measure Accurately\" included staff retraining on blood pressure (BP) measurement, implementation of BP recheck protocols, and a structured home BP monitor validation process. To combat clinical inertia and \"Act Rapidly,\" the clinic introduced a visual BP alert system, promoted clinical pharmacist comanagement, and distributed monthly provider performance reports. Lastly, to \"Partner with Patients,\" patient engagement was enhanced via targeted outreach, a care team approach focused on holistic patient care, and increased patient education. One year after implementation, the clinic's hypertension control rate had increased from 66% to 72% (P = 0.047), while control rates across other system clinics remained unchanged. During this time, 343 patients had staff visits for BP checks, 287 patients had validated home BP monitors documented in their electronic health record, 302 patients engaged with a clinical pharmacist for hypertension comanagement, and 575 received individualized outreach from the care manager to increase engagement. This multifaceted quality improvement program improved patient care and increased hypertension control rates. These interventions have demonstrated sustainability and have been adopted by other primary care clinics in this system.","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":"18-26"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145820561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of Digital Algorithms for the Early Identification of Rare Clinical Outcomes Using Electronic Medical Records: A Case Study of Hidradenitis Suppurativa. 利用电子病历早期识别罕见临床结果的数字算法的发展：化脓性汗腺炎的案例研究。

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2026-02-05 DOI: 10.1177/19427891251404892

Hai Pham, Erin McMeniman, Timothy Liu, Jonaa Eva, Kiarash Khosrotehrani, Jason D Pole

{"title":"Development of Digital Algorithms for the Early Identification of Rare Clinical Outcomes Using Electronic Medical Records: A Case Study of Hidradenitis Suppurativa.","authors":"Hai Pham, Erin McMeniman, Timothy Liu, Jonaa Eva, Kiarash Khosrotehrani, Jason D Pole","doi":"10.1177/19427891251404892","DOIUrl":"10.1177/19427891251404892","url":null,"abstract":"Hidradenitis suppurativa (HS) is a painful, progressive, and disfiguring rare inflammatory skin condition with significant diagnostic delays due to limited awareness. This study aims to develop and validate digital algorithms using integrated electronic medical records (ieMR) to identify undiagnosed HS patients. A test cohort of 121 HS cases (patients who visited a dermatologist-led HS clinic and received treatment) and 187,106 controls (emergency department patients) were identified from patients attending a Queensland tertiary hospital from 2018 to 2022. Using demographics, structured ieMR data and free-text flags, we developed one logistic regression and two random forest algorithms (with and without class weighting) to predict HS. A clinical chart audit of 200 randomly selected patients helped refine the best-performing algorithm, which was then validated using data from another tertiary hospital. Logistic regression performed best at a threshold of 0.4 (sensitivity: 0.66 [0.58, 0.74], positive predictive value [PPV]: 0.71 [0.64, 0.80]). Strong predictors included dermatology clinic visits, free-text diagnostic notes, lesion location terms, antibiotic and isotretinoin use, and elevated inflammatory markers. Internal validation showed high agreement, and the refined model improved sensitivity to 0.89 (0.83, 0.94) and PPV to 0.87 (0.81, 0.92). This model performed relatively well in the validation cohort, with sensitivity and specificity (at threshold 0.4) both >0.70 and a PPV of 0.45, supporting clinical utility. Validated digital algorithms incorporating key diagnostic indicators may help identify undiagnosed HS patients, reducing diagnostic delays and improving prevalence assessment.","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":"50-55"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145834511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Health Inequity in Italy: Unequal Access to the Electronic Health Record and Its Public Health and Medico-Legal Impacts. 意大利的数字健康不平等：获取电子健康记录的不平等及其对公共卫生和医疗法律的影响。

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2026-01-09 DOI: 10.1177/19427891251404032

Andrea Cioffi, Stefania De Simone, Francesco Orsini, Luigi Cipolloni, Camilla Cecannecchia

引用次数: 0

Cognitive Change as an Early Warning for Late-Life Depression: Implications for Population Health Screening Strategies. 认知变化作为晚年抑郁的早期预警：对人口健康筛查策略的影响。

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2025-11-14 DOI: 10.1177/19427891251395738

Xin Ji, Shasha Deng

{"title":"Cognitive Change as an Early Warning for Late-Life Depression: Implications for Population Health Screening Strategies.","authors":"Xin Ji, Shasha Deng","doi":"10.1177/19427891251395738","DOIUrl":"10.1177/19427891251395738","url":null,"abstract":"Cognitive decline and late-life depression are intertwined public health challenges for aging populations globally. To inform effective prevention, the current study investigated the dynamic temporal associations between multidimensional cognitive functions and depressive symptoms. Using four waves of longitudinal data (2013-2020) from a large panel study of older adults, the current study employed an integrated framework combining optimized dynamic time warping, cross-lagged panel models, and network analysis to model complex, lagged relationships. Results provided strong empirical support for the \"cognition-first\" hypothesis, with declines in several cognitive domains-notably temporal orientation, calculation, and immediate recall-acting as significant upstream predictors of subsequent depressive symptoms. A modest but significant protective feedback effect from positive affect to cognitive maintenance was also identified, while negative affect showed no significant predictive role sample of older adults who were cognitively and emotionally healthy at baseline. These findings offer preliminary empirical support for a strategic shift in population health management from reactive treatment toward proactive prevention. Based on these results, the current study discusses a conceptual framework for integrating cognitive screening into primary care to identify at-risk older adults, an approach that warrants further investigation and validation. This proactive approach could enable timely, low-cost interventions aimed at promoting positive affect and cognitive resilience, offering a potentially cost-effective strategy to mitigate the long-term burden of mental illness and advance the goals of healthy aging.","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":"27-37"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145549959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Progression to the Mean: Reconciling Traditional and Modern Professional Values in Medicine. 中庸之道：调和传统与现代医学专业价值。

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2026-01-10 DOI: 10.1177/19427891251408078

Sarah C Hull, Allison Law, David M Dudzinski, J Brendan Mullen, Danish Zaidi, Letitia Anderson, Robert Kornberg, James N Kirkpatrick

引用次数: 0

Mortality Due to Opioid Overdose in the United States: Trends from a CDC WONDER Analysis (1999-2024). 美国阿片类药物过量死亡率：CDC WONDER分析趋势（1999-2024）

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2026-02-05 DOI: 10.1177/19427891251401921

Sophia Ahmed, Syed Sarmad Javaid, Aamna Nasir, Ishba Manal, Komal Saleem, Naeem Iqbal, Ayman Irshad, Shahzaib Hassan, Marian Abedua Harrison, Saba Fatima, Zain Ul Abideen, Faizan Abbas, Anosha Arshad

{"title":"Mortality Due to Opioid Overdose in the United States: Trends from a CDC WONDER Analysis (1999-2024).","authors":"Sophia Ahmed, Syed Sarmad Javaid, Aamna Nasir, Ishba Manal, Komal Saleem, Naeem Iqbal, Ayman Irshad, Shahzaib Hassan, Marian Abedua Harrison, Saba Fatima, Zain Ul Abideen, Faizan Abbas, Anosha Arshad","doi":"10.1177/19427891251401921","DOIUrl":"10.1177/19427891251401921","url":null,"abstract":"The opioid epidemic in the United States has led to a sharp rise in overdose deaths over the past two decades. Although some progress was observed prior to the coronavirus disease 2019 pandemic, opioid-related mortality has increased again in recent years, underscoring the need to re-examine national trends. A retrospective analysis of opioid overdose mortality among US adults aged 25 years and older from 1999 to 2024 was performed using data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiological Research (CDC WONDER) Multiple Cause-of-Death database. Opioid-related deaths were identified using the International Classification of Diseases, Tenth Revision, codes T40.0-T40.4 and T40.6. Mortality rates were calculated by year, sex, age, race/ethnicity, and US census region. Temporal trends were evaluated using Joinpoint regression to estimate annual percent changes. A total of 806,765 opioid overdose deaths occurred during the study period. The age-adjusted mortality rate (AAMR) increased from 4.41 to 22.84 per 100,000. Men consistently had higher AAMRs than women (men: 20.64; women: 9.52). Racial disparities were evident, with the highest rates observed among non-Hispanic American Indian/Alaska Native (21.79), non-Hispanic White (18.07), and non-Hispanic Black (15.97) populations. Adults aged 35-44 years had the highest crude mortality rates (20.52). Among US regions, the Northeast had the highest AAMR (18.09), followed by the Midwest (15.69), South (14.74), and West (13.09). These findings confirm that opioid overdose remains a major public health issue, with persistent demographic and regional disparities necessitating targeted strategies to reduce mortality.","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":"1-10"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145724197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification and Validation of a Machine Learning Predictive Model for Type 2 Diabetes Mellitus Based on Inflammation-Related Indicators. 基于炎症相关指标的2型糖尿病机器学习预测模型的识别与验证

IF 2.1 4区医学

Population Health Management Pub Date : 2026-02-01 Epub Date: 2025-12-26 DOI: 10.1177/19427891251401221

Ming-Hui Xia, Jia-Xin Wu, Ben Niu, Lin Bo, Hai-Ying Wu, Fei-Yan Deng, Shu-Feng Lei

{"title":"Identification and Validation of a Machine Learning Predictive Model for Type 2 Diabetes Mellitus Based on Inflammation-Related Indicators.","authors":"Ming-Hui Xia, Jia-Xin Wu, Ben Niu, Lin Bo, Hai-Ying Wu, Fei-Yan Deng, Shu-Feng Lei","doi":"10.1177/19427891251401221","DOIUrl":"10.1177/19427891251401221","url":null,"abstract":"Type 2 diabetes mellitus (T2D) is a prevalent metabolic disorder with significant health and economic burdens worldwide. The relationship between inflammation-related indicators and the risk of developing new-onset T2D remains underexplored. This study aims to identify and validate an interpretable predictive model for incident T2D using inflammation-related indicators. We analyzed data from 220,937 participants free of diabetes at baseline in the UK Biobank. Six machine learning algorithms were employed to construct predictive models. Feature selection was performed using Least Absolute Shrinkage and Selection Operator regression. SHapley Additive exPlanations (SHAP) were used to interpret the best-performing model. A genetic risk score (GRS, an aggregate measure of genetic susceptibility to T2D) was constructed, and multivariate Cox regression assessed the combined effects of genetic and inflammatory factors on T2D incidence. The Extreme Gradient Boosting model demonstrated the best performance (training set AUC = 0.863, testing set AUC = 0.838). Key predictors included body mass index, cholesterol, age, alanine aminotransferase, high-density lipoprotein, and Prognostic Nutritional Index (a marker predictive of inflammation and nutritional outcomes). SHAP analysis revealed significant contributions from these features. C-reactive protein and white blood cell count showed strong associations with future T2D risk. Integrating the GRS significantly improved the model's predictive performance (ΔAUC = +0.025, P < 0.05 via DeLong's test). This study presents an interpretable machine learning model for new-onset T2D risk prediction, emphasizing the role of inflammation and genetic factors. The findings provide a valuable tool for early T2D prevention and intervention, offering insights into the complex interplay between inflammation and diabetes development.","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":"38-49"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145725400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cost-Effectiveness of Screening and Early Diagnosis Strategies for Cancer in the General Adult Population in Low- and Middle-Income Countries: A Systematic Review. 低收入和中等收入国家普通成人癌症筛查和早期诊断策略的成本效益：一项系统综述

IF 2.1 4区医学

Population Health Management Pub Date : 2025-12-24 DOI: 10.1177/19427891251407691

Akram Hernández-Vásquez, Lucía Villar Bernaola, Rodrigo Vargas-Fernández, Raúl Timaná Ruiz

{"title":"Cost-Effectiveness of Screening and Early Diagnosis Strategies for Cancer in the General Adult Population in Low- and Middle-Income Countries: A Systematic Review.","authors":"Akram Hernández-Vásquez, Lucía Villar Bernaola, Rodrigo Vargas-Fernández, Raúl Timaná Ruiz","doi":"10.1177/19427891251407691","DOIUrl":"https://doi.org/10.1177/19427891251407691","url":null,"abstract":"Cancer is one of the leading causes of morbidity and mortality worldwide, disproportionately affecting low- and middle-income countries (LMICs) due to barriers to obtaining access to health care services and screening programs. The current study aimed to synthesize evidence on cost-effective strategies for cancer screening and early diagnosis in adults (≥18 years) in LMICs. The literature search was conducted in PubMed, the Cochrane Library, Embase, EconLit, CINAHL, LILACS, Global Health, and the Web of Science Core Collection databases. The review included cost-effectiveness studies compared with standard practices in LMICs. Two reviewers independently assessed eligibility, extracted data, and evaluated methodological quality using the Drummond and Jefferson guidelines. Twelve studies conducted in nine countries across four global regions were included. The results identified that the most cost-effective strategies for cervical cancer were human papillomavirus DNA testing, visual inspection with acetic acid, and combined tests. For breast and prostate cancer, digital breast tomosynthesis and the Prostate Health Index were promising options, repectively. However, limitations were noted in the studies, such as the lack of analysis on productivity changes and the justification of variables in sensitivity analyses. Population-based cancer screening strategies exist but must be adapted to the implementation context to maximize their cost-effectiveness in LMICs.","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145865028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Racial and Ethnic Disparity in Preference-Weighted Quality of Life: Findings from the Selenium and Vitamin E Cancer Prevention Trial. 偏好加权生活质量的种族和民族差异：硒和维生素 E 癌症预防试验的结果。

IF 2.1 4区医学

Population Health Management Pub Date : 2025-12-01 Epub Date: 2023-01-10 DOI: 10.1089/pop.2022.0143

Matthew C Rock, Riha Vaidya, Cathee Till, Joseph M Unger, Dawn Hershman, Scott Ramsey, Ariel Nehemiah, Daniel Maeng, Robert Krouse

{"title":"Racial and Ethnic Disparity in Preference-Weighted Quality of Life: Findings from the Selenium and Vitamin E Cancer Prevention Trial.","authors":"Matthew C Rock, Riha Vaidya, Cathee Till, Joseph M Unger, Dawn Hershman, Scott Ramsey, Ariel Nehemiah, Daniel Maeng, Robert Krouse","doi":"10.1089/pop.2022.0143","DOIUrl":"10.1089/pop.2022.0143","url":null,"abstract":"Differences in preference-weighted health-related quality of life (HRQOL) scores by race/ethnicity may be due to social factors. Here, Short-Form Six-Dimension (SF-6D) scores are analyzed among men in a prostate cancer prevention trial to explore such differences. Selenium and vitamin E cancer prevention trial participants who completed the SF-6D at baseline, and in at least 1 of follow-up years 1, 3, and 5 were included. This study compared mean SF-6D scores across race/ethnicity at each point using a linear mixed model controlling for demographic and clinical characteristics. At baseline, 9691 men were eligible for analysis, of whom 7556 (78%) were non-Hispanic White, 1592 (16.4%) were non-Hispanic Black, and 543 (5.6%) were Hispanic. Hispanic and White participants had higher unadjusted mean SF-6D scores than Black participants at every time point (P < 0.05), while white participants had lower mean scores than Hispanic participants at every time point after baseline (P < 0.05). After adjusting for covariates, statistically significant differences in HRQOL among the 3 groups persisted. Hispanic participants had higher preference scores than White participants by 0.073 (P < 0.001), 0.075 (P < 0.001), and 0.040 (P < 0.001) in follow-up years 1, 3, and 5, respectively. Black participants had lower scores than White participants by 0.009 (P = 0.004) and 0.008 (P = 0.02) in follow-up years 1 and 3, respectively. The results suggest there is a preference-weighted HRQOL difference by race/ethnicity that cannot be explained by social and clinical variables alone. Understanding how individuals belonging to different racial/ethnic categories view their own HRQOL is necessary for culturally competent care and cost-effectiveness analyses.","PeriodicalId":20396,"journal":{"name":"Population Health Management","volume":" ","pages":"313-321"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13014128/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9247821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0