{"title":"Prevalence of Dementia, Heart Disease and Stroke in Canadian Households","authors":"Sarah Singh","doi":"10.1370/afm.22.s1.4638","DOIUrl":"https://doi.org/10.1370/afm.22.s1.4638","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139301041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What are the attitudes of the English public towards prescription medication sharing?","authors":"Emma Hillier, Deborah McCahon, Shoba Dawson","doi":"10.1370/afm.22.s1.5502","DOIUrl":"https://doi.org/10.1370/afm.22.s1.5502","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"37 5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139296281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel J. Tancredi, Daniel J. Merenstein, Maria Marco, Robert Hutkins, Joanne Slavin, Colin Hill, Christopher Cifelli
{"title":"Positive Health Outcomes Associated with Live Microbe Intake from Foods, Including Fermented Foods, Assessed using the NHANES","authors":"Daniel J. Tancredi, Daniel J. Merenstein, Maria Marco, Robert Hutkins, Joanne Slavin, Colin Hill, Christopher Cifelli","doi":"10.1370/afm.22.s1.5163","DOIUrl":"https://doi.org/10.1370/afm.22.s1.5163","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139297303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Context: Caregiver comprise a significant portion of the Australian community. In 2015, almost 2.7 million Australians were identified as caregivers, and almost one-third (31.7%) of this group were identified as primary carers. Objective: To investigate the impact of being a caregiver on a person’s health and wellbeing compared to non-caregivers. Study Design: A record linkage study using questionnaire data linked with eight datasets. Dataset: 45 and Up Study, Medicare Benefit Scheme claims, hospitalizations and deaths datasets. Population Studied: 29,489 people in Central and Eastern Sydney aged over 45 were followed over an eight year period. Instrument: Analysis of caregivers and non-caregivers were described and compared. Characteristics of carers who were coping well compared to those who were not, using quality of life as the indicator, were also analysed. Outcome Measures: primary care use, hospitalizations and mortality. Results: Compared with non-caregivers, caregivers in CES were more likely to be: female, married, speak a language other than English, current smoker, engaging in adequate physical activity, have ever had anxiety, psychological distress, heart disease, self-rated poor quality of life and less likely to be older, have higher incomes, and need help with daily activities. Caregivers had higher rates of primary care use than non-caregivers [Adj. HR (95% CI): 1.21(1.13, 1.30)]. However, hospital admissions and mortality were not significantly different. Compared with caregivers who were not coping well, caregivers who were coping well, once adjusted for all of the other covariates, were more likely to self-report good quality of health, and less likely to have high psychological distress. Caregivers who were coping well were 24% less likely to be high primary care users [Adj
{"title":"Understanding the caregiver role and challenges in Sydney, Australia: A population based linked cohort study","authors":"Ben Harris-Roxas, A. Kabir, M. Barr","doi":"10.1370/afm.20.s1.3103","DOIUrl":"https://doi.org/10.1370/afm.20.s1.3103","url":null,"abstract":"Context: Caregiver comprise a significant portion of the Australian community. In 2015, almost 2.7 million Australians were identified as caregivers, and almost one-third (31.7%) of this group were identified as primary carers. Objective: To investigate the impact of being a caregiver on a person’s health and wellbeing compared to non-caregivers. Study Design: A record linkage study using questionnaire data linked with eight datasets. Dataset: 45 and Up Study, Medicare Benefit Scheme claims, hospitalizations and deaths datasets. Population Studied: 29,489 people in Central and Eastern Sydney aged over 45 were followed over an eight year period. Instrument: Analysis of caregivers and non-caregivers were described and compared. Characteristics of carers who were coping well compared to those who were not, using quality of life as the indicator, were also analysed. Outcome Measures: primary care use, hospitalizations and mortality. Results: Compared with non-caregivers, caregivers in CES were more likely to be: female, married, speak a language other than English, current smoker, engaging in adequate physical activity, have ever had anxiety, psychological distress, heart disease, self-rated poor quality of life and less likely to be older, have higher incomes, and need help with daily activities. Caregivers had higher rates of primary care use than non-caregivers [Adj. HR (95% CI): 1.21(1.13, 1.30)]. However, hospital admissions and mortality were not significantly different. Compared with caregivers who were not coping well, caregivers who were coping well, once adjusted for all of the other covariates, were more likely to self-report good quality of health, and less likely to have high psychological distress. Caregivers who were coping well were 24% less likely to be high primary care users [Adj","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125907870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Salman, P. Metrakos, G. Bartlett-Esquilant, A. Lazaris
{"title":"Results from consensus-oriented decision-making process (CODM) for a primary care based biobank: The quebec experience","authors":"A. Salman, P. Metrakos, G. Bartlett-Esquilant, A. Lazaris","doi":"10.1370/afm.20.s1.3085","DOIUrl":"https://doi.org/10.1370/afm.20.s1.3085","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122554938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Context: Recently, the negative association between female sex and disease diagnoses (i.e. somatic symptoms that evolve into a disease) was found to be mediated by the fewer diagnostic interventions that an FP performs in women with common somatic symptoms. However, it remains unknown whether women and men receive disease diagnoses in equal frequencies after FPs perform diagnostic interventions. Objective: To assess differences between women and men in the association between diagnostic interventions (i.e. physical examinations, laboratory diagnostics, imaging and specialist referrals) and disease diagnoses when patients present with common somatic symptoms. Study design: Prospective observational cohort study. Dataset: FP-registration data from 2014 to 2018, derived from the Dutch FaMe-Net primary care database. Herein FPs (n=26) routinely code each encounter according to the International Classification of Primary Care in an episode-of-care structure. Population: New episodes of care starting with a common somatic symptom as a reason for encounter were included. 7,914 men presented 13,236 (38.6%) new episodes of care, whereas 10,542 women presented 21,032 (61.4%) new episodes of care. Outcome Measures: Differences between women and men in the rate of receiving a disease diagnosis after an intervention was assessed by multilevel logistic regression analyses. Analyses included sex-by-intervention interaction terms. Results: Physical examinations and specialist referrals associated with more disease diagnoses (OR=2.32; 95%CI=2.17-2.49 and OR=1.38; 95%CI=1.27-1.49, respectively), whereas laboratory diagnostics associated with fewer disease diagnoses (OR=0.50; 95%CI=0.47-0.54). Significant interaction terms showed that women presenting with (lower) back pain, tiredness, arm and/or leg symptoms and tingling extremities received fewer disease diagnoses than men after
背景:最近发现，女性性别与疾病诊断(即演变为疾病的躯体症状)之间的负相关关系是由于计划生育对具有常见躯体症状的妇女进行较少的诊断干预所介导的。然而，目前尚不清楚在FPs进行诊断干预后，女性和男性获得疾病诊断的频率是否相同。目的:评估女性和男性在诊断干预(即体格检查、实验室诊断、成像和专家转诊)与患者出现常见躯体症状时疾病诊断之间相关性的差异。研究设计:前瞻性观察队列研究。数据集:2014年至2018年的fp注册数据，来源于荷兰FaMe-Net初级保健数据库。在这里，FPs (n=26)根据国际初级保健分类在护理情节结构中对每次遭遇进行常规编码。人群:新发作的护理开始与一个共同的躯体症状作为遭遇的原因包括在内。7914名男性出现了13236例(38.6%)的新护理，而10542名女性出现了21032例(61.4%)的新护理。结果测量:通过多水平logistic回归分析评估干预后女性和男性接受疾病诊断率的差异。分析包括干预性别的相互作用术语。结果:体格检查和专科转诊与更多疾病诊断相关(OR=2.32;95%CI=2.17-2.49, OR=1.38;95%CI分别=1.27-1.49)，而实验室诊断与较少的疾病诊断相关(OR=0.50;95% ci = 0.47 - -0.54)。重要的相互作用项显示，出现(下)背部疼痛、疲劳、手臂和/或腿部症状以及四肢刺痛的女性在此之后得到的疾病诊断比男性少
{"title":"Differences between female and male patients in the rate of diagnosed diseases in primary care after diagnostic interventions","authors":"A. Ballering, T. Hartman, J. Rosmalen","doi":"10.1370/afm.20.s1.2614","DOIUrl":"https://doi.org/10.1370/afm.20.s1.2614","url":null,"abstract":"Context: Recently, the negative association between female sex and disease diagnoses (i.e. somatic symptoms that evolve into a disease) was found to be mediated by the fewer diagnostic interventions that an FP performs in women with common somatic symptoms. However, it remains unknown whether women and men receive disease diagnoses in equal frequencies after FPs perform diagnostic interventions. Objective: To assess differences between women and men in the association between diagnostic interventions (i.e. physical examinations, laboratory diagnostics, imaging and specialist referrals) and disease diagnoses when patients present with common somatic symptoms. Study design: Prospective observational cohort study. Dataset: FP-registration data from 2014 to 2018, derived from the Dutch FaMe-Net primary care database. Herein FPs (n=26) routinely code each encounter according to the International Classification of Primary Care in an episode-of-care structure. Population: New episodes of care starting with a common somatic symptom as a reason for encounter were included. 7,914 men presented 13,236 (38.6%) new episodes of care, whereas 10,542 women presented 21,032 (61.4%) new episodes of care. Outcome Measures: Differences between women and men in the rate of receiving a disease diagnosis after an intervention was assessed by multilevel logistic regression analyses. Analyses included sex-by-intervention interaction terms. Results: Physical examinations and specialist referrals associated with more disease diagnoses (OR=2.32; 95%CI=2.17-2.49 and OR=1.38; 95%CI=1.27-1.49, respectively), whereas laboratory diagnostics associated with fewer disease diagnoses (OR=0.50; 95%CI=0.47-0.54). Significant interaction terms showed that women presenting with (lower) back pain, tiredness, arm and/or leg symptoms and tingling extremities received fewer disease diagnoses than men after","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123584179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Well Visit Trends by Patient Age Group Before and During the COVID-19 Pandemic","authors":"J. Scherrer, J. Salas","doi":"10.1370/afm.21.s1.3423","DOIUrl":"https://doi.org/10.1370/afm.21.s1.3423","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127230158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Theal, R. Morkem, D. Barber, J. Queenan, Lorne Kinsella
{"title":"Patterns of High vs. Standard Dose Flu Vaccinations in Canadian Primary Care: A Baseline Cohort Pilot Study","authors":"R. Theal, R. Morkem, D. Barber, J. Queenan, Lorne Kinsella","doi":"10.1370/afm.21.s1.3998","DOIUrl":"https://doi.org/10.1370/afm.21.s1.3998","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124710605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying Virtual and In-Person Antibiotic Prescribing Behaviors Before and During the COVID-19 Pandemic","authors":"Sabrina Wong, R. Morkem, D. Barber","doi":"10.1370/afm.21.s1.3677","DOIUrl":"https://doi.org/10.1370/afm.21.s1.3677","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127018290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kailey Love, Jaeson T Fournier, Nicholas Yagoda, G. Runger, W. Riley
{"title":"Patient Stratification Scale for Population Care Management Strategy","authors":"Kailey Love, Jaeson T Fournier, Nicholas Yagoda, G. Runger, W. Riley","doi":"10.1370/afm.21.s1.4019","DOIUrl":"https://doi.org/10.1370/afm.21.s1.4019","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"473 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125680378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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