James Henry Zouch, Bjørnar Berg, Are Hugo Pripp, Kjersti Storheim, Claire E Ashton-James, Manuela L Ferreira, Margreth Grotle, Paulo H Ferreira
{"title":"Reducing strain on primary healthcare systems through innovative models of care: the impact of direct access physiotherapy for musculoskeletal conditions-an interrupted time series analysis.","authors":"James Henry Zouch, Bjørnar Berg, Are Hugo Pripp, Kjersti Storheim, Claire E Ashton-James, Manuela L Ferreira, Margreth Grotle, Paulo H Ferreira","doi":"10.1136/fmch-2024-002998","DOIUrl":"https://doi.org/10.1136/fmch-2024-002998","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the longitudinal impact of introducing a national, direct access physiotherapy model of care on the rates of primary and secondary care consultations for musculoskeletal (MSK) conditions.</p><p><strong>Design: </strong>Interrupted time series analysis using segmented linear regression.</p><p><strong>Setting: </strong>Norway primary care PARTICIPANTS: A cohort of 82 072 participants was derived from 3 population-based health surveys conducted across separate geographical regions in Norway. All participants surveyed were eligible for inclusion as a national representative sample of the Norwegian population. Registered MSK consultations were linked to the Norwegian Control and Payment of Health Reimbursement database and the Norwegian Patient Register using the International Classification of Primary Care diagnostic medical codes L-chapter for MSK conditions and spine related International Classification of Diseases, 10th Revision, codes.</p><p><strong>Intervention: </strong>Direct access to physiotherapy model of care introduced nationally in Norway in 2018. This model allowed Norwegians to consult directly with qualified physiotherapists for MSK conditions (eg, back pain, knee osteoarthritis) without the need for a medical referral in order to claim a social security reimbursement.</p><p><strong>Main outcomes measured: </strong>Rates of primary care consultations per 10 000 population (general practitioner (GP) and physiotherapist consultations) and secondary care (specialist consultations and surgical procedures) measured from 2014 to 2021.</p><p><strong>Results: </strong>The introduction of the direct access physiotherapy model was associated with an immediate stepped reduction of 391 general practice consultations per 10 000 population, (95% CI: -564 to -216), without an associated change in physiotherapy consultations. Subgroup analyses suggested there was an associated reduction in physiotherapy consultations for those in the lowest education group of 150 consultations per quarter (95% CI:-203 to -97), 70 consultations per quarter in the intermediate education group (95% CI:-115 to -27) and a stepped reduction of 2 spinal surgical procedures per 10 000 population, for those aged between 40 and 60 years (95% CI: -3 to -1) following the introduction of the direct access physiotherapy model.</p><p><strong>Conclusion: </strong>The national introduction of a direct access to physiotherapy model of care was associated with a reduction in the workload of GPs for the management of MSK conditions. The use of physiotherapists in direct contact roles is a potential strategic model to reduce the burden on the GP workforce in primary care worldwide.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11423733/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michelle S Rockwell, Brianna Chang, Vivian Zagarese, Jamie K Turner, Ally Southworth, YingXing Wu, Paul Yeaton, Li Li, Jeffrey S Stein, Sarah H Parker, John W Epling
{"title":"Patients' experiences with 'sludge' (administrative burden) in the cancer screening process and its relationship with screening completion, experience and health system distrust.","authors":"Michelle S Rockwell, Brianna Chang, Vivian Zagarese, Jamie K Turner, Ally Southworth, YingXing Wu, Paul Yeaton, Li Li, Jeffrey S Stein, Sarah H Parker, John W Epling","doi":"10.1136/fmch-2024-002933","DOIUrl":"10.1136/fmch-2024-002933","url":null,"abstract":"<p><strong>Objective: </strong>'Sludge' refers to administrative burdens or frictions that preclude people from getting what they want or need (eg, duplicative forms, complicated instructions, long waiting times). This mixed methods study evaluated patients' perceptions of sludge in the colorectal cancer (CRC) screening process and some impacts of this sludge.</p><p><strong>Design: </strong>We employed an exploratory sequential mixed methods study design that comprised patient interviews and a patient survey. The interviews informed final survey revisions and captured contextual data about patients' experiences with sludge. Interview transcripts were inductively and deductively analysed to identify overarching themes. The survey quantified sludge, delayed or forgone screenings, screening experience (Net Promoter Score) and health system distrust (Health System Distrust Scale). We used χ<sup>2</sup> or t-tests for univariable comparisons and logistic or linear regressions to evaluate the association between cumulative sludge score and delayed or forgone screenings, screening experience and health system distrust. Results were integrated for interpretation.</p><p><strong>Setting: </strong>Southeastern United States.</p><p><strong>Participants: </strong>Patients who were 45-75 years of age, at average risk for CRC and had either completed or been referred for CRC screening (colonoscopy or stool-based test) within the previous 12 months.</p><p><strong>Results: </strong>22 interview participants and 255 survey participants completed the study. 38 (15%) survey participants rated their screening experience as poor (Net Promoter Score=0-7 out of 10). The mean (SD) Health System Distrust Scale score was 22.4 (6.3) out of 45 possible points (higher score=greater distrust). Perceptions of sludge in the CRC screening process varied, with long waiting times and burdensome communication being the most common sources (58% and 35% of participants, respectively). Sludge was positively associated with delayed or forgone screenings (OR=1.42, 95% CI 1.28, 1.57, p<0.001), poor screening experience (OR=1.15, 95% CI 1.04, 1.28, p=0.009) and health system distrust (β=0.47, p<0.001). Qualitative findings add descriptive detail about sludge encountered, context to impacts experienced, and illustrate the heavy emotional impact of sludge: '<i>it just isn't worth it'</i>.</p><p><strong>Conclusion: </strong>Efforts to reduce sludge in the CRC screening process may improve timely completion of CRC screening, enhance patient experience and restore trust in the health system.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 Suppl 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Autumn M Kieber-Emmons, Susan E Hansen, Michael Topmiller, Jaskaran Grewal, Carlos Roberto Jaen, Benjamin F Crabtree, William L Miller
{"title":"fRAP 2.0: a community engagement method applied to cervical cancer disparities among Hispanic women.","authors":"Autumn M Kieber-Emmons, Susan E Hansen, Michael Topmiller, Jaskaran Grewal, Carlos Roberto Jaen, Benjamin F Crabtree, William L Miller","doi":"10.1136/fmch-2023-002601","DOIUrl":"10.1136/fmch-2023-002601","url":null,"abstract":"<p><p>focused Rapid Assessment Process (fRAP) 2.0 is a community engagement approach combining geospatial mapping with rapid qualitative assessment in cyclical fashion within communities to capture multifactorial and multilevel features impacting primary care problems. fRAP 2.0 offers primary care researchers a methodology framework for exploring complex community features that impact primary healthcare delivery and outcomes. The fRAP 2.0 study design expands the fRAP from a sequential design to a cyclical process of geospatial mapping and rapid qualitative assessment in search of modifiable contextual factors. Research participants are stakeholders from various socioecological levels whose perspectives inform study outcomes that they may use to then become the agents of change for the very problems they helped explore. Here, we present a proof-of-concept study for fRAP 2.0 examining disparities in cervical cancer mortality rates among Hispanic women in Texas. The primary outcomes of interest are features at the community level, medical health system level and regional government policy levels that offer opportunities for collaborative interventions to improve cervical cancer outcomes. In this study, geospatial mapping of county and ZIP code-level variables impacting postdiagnosis cervical cancer care at community, medical and policy levels were created using publicly available data and then overlaid with maps created with Texas Cancer Registry data for cervical cancer cases in three of the largest population counties. Geographically disparate areas were then qualitatively explored using participant observation and ethnographic field work, alongside 39 key informant interviews. Roundtable discussion groups and stakeholder engagement existed at every phase of the study. Applying the fRAP 2.0 method, we created an action-oriented roadmap of next steps to improve cervical cancer care disparities in the three Texas counties with emphasis on the high disparity county. We identified local change targets for advocacy and the results helped convene a stakeholder group that continues to actively create on-the-ground change in the high-disparity county to improve cervical cancer outcomes for Hispanic women.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 Suppl 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664375/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142056821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matteo Cesari, Yuka Sumi, Hyobum Jang, Jotheeswaran Amuthavalli Thiyagarajan, Yejin Lee, Rachel Albone, Marco Canevelli, Monica R Perracini, Andrew M Briggs, Anshu Banerjee
{"title":"Survey of international experts on research priorities to improve care for healthy ageing.","authors":"Matteo Cesari, Yuka Sumi, Hyobum Jang, Jotheeswaran Amuthavalli Thiyagarajan, Yejin Lee, Rachel Albone, Marco Canevelli, Monica R Perracini, Andrew M Briggs, Anshu Banerjee","doi":"10.1136/fmch-2023-002703","DOIUrl":"10.1136/fmch-2023-002703","url":null,"abstract":"","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11423713/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141894564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert Mash, Lisa R Hirschhorn, Inayat Singh Kakar, Renu John, Manushi Sharma, Devarsetty Praveen
{"title":"Global lessons on delivery of primary healthcare services for people with non-communicable diseases: convergent mixed methods.","authors":"Robert Mash, Lisa R Hirschhorn, Inayat Singh Kakar, Renu John, Manushi Sharma, Devarsetty Praveen","doi":"10.1136/fmch-2023-002553","DOIUrl":"10.1136/fmch-2023-002553","url":null,"abstract":"<p><strong>Objective: </strong>To extract key lessons on primary healthcare (PHC) service delivery strategies for non-communicable diseases (NCD) from the work of researchers funded by the Global Alliance for Chronic Diseases (GACD).</p><p><strong>Design: </strong>A convergent mixed methods study that extracted data using a standardised template from research projects funded by the GACD that focused on PHC. The strategies implemented in these studies were mapped onto the PHC Performance Initiative framework. Semistructured qualitative interviews were conducted with researchers from purposefully selected projects to understand the strategies and contextual factors in more depth.</p><p><strong>Setting: </strong>PHC contexts from low or middle-income countries (LMIC) as well as vulnerable groups within high-income countries. Projects came from all regions of the world, particularly East Asia and Pacific, sub-Saharan Africa, South Asia, Latin America and Caribbean.</p><p><strong>Participants: </strong>The study extracted data on 84 research projects and interviewed researchers from 16 research projects.</p><p><strong>Results: </strong>Research projects came from all regions of the world, and mainly focused on diabetes (35.3%), hypertension (28.3%) and mental health (27.6%). Mapped onto the PHC Performance Initiative framework: 49.4% focused on high-quality PHC (particularly the comprehensiveness of NCD care, 41.2%); 41.2% on the availability of PHC services (particularly the competence of healthcare workers, 36.5%); 35.3% on population health management (particularly community-based services, 35.3%); 34.1% on facility organisation and management (particularly team-based care, 20.0%) and 31.8% on access (particularly digital technology, 23.5%). Most common strategies were task shifting and training to improve the comprehensiveness of NCD care through community-based services. Contextual factors related to inputs: infrastructure, equipment and medication, workforce (particularly community health workers), finances, health information systems and digital technology.</p><p><strong>Conclusion: </strong>Key strategies and contextual factors to improve PHC service delivery for NCDs in LMICs were identified. These strategies should combine with other strategies to strengthen the PHC system as a whole, while improving care for NCDs.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11331933/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141890373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jennifer E Bayly, Mara A Schonberg, Marcia C Castro, Kenneth J Mukamal
{"title":"Individual and geospatial factors associated with receipt of colorectal cancer screening: a state-wide mixed-level analysis.","authors":"Jennifer E Bayly, Mara A Schonberg, Marcia C Castro, Kenneth J Mukamal","doi":"10.1136/fmch-2024-002983","DOIUrl":"10.1136/fmch-2024-002983","url":null,"abstract":"<p><strong>Background: </strong>Colorectal cancer (CRC) is the second leading cause of cancer death in US adults but can be reduced by screening. The roles of individual and contextual factors, and especially physician supply, in attaining universal CRC screening remains uncertain.</p><p><strong>Methods: </strong>We used data from adults 50-75 years old participating in the 2018 New York (NY) Behavioural Risk Factor Surveillance System linked to county-level covariates, including primary care physician (PCP) density and gastroenterologist (GI) density. Data were analysed in 2023-2024. Our analyses included (1) ecological and geospatial analyses of county-level CRC screening prevalence and (2) individual-level Poisson regression models of receipt of screening, adjusted for socioeconomic and county-level contextual variables.</p><p><strong>Results: </strong>Mean prevalence of up-to-date CRC screening was 71% (95% CI 70% to 73%) across NY's 62 counties. County-level CRC screening demonstrated significant spatial patterning (Global Moran's I=0.14, p=0.04), consistent with the existence of county-level contextual factors. In both county-level and individual-level analyses, lack of health insurance was associated with lower likelihood of up-to-date screening (ß=-1.09 (95% CI -2.00 to -0.19); adjusted prevalence ratio 0.68 (95% CI 0.60 to 0.77)), even accounting for age, race/ethnicity and education. In contrast, county-level densities of both PCPs and GIs were completely unassociated with screening at either the county or individual level. As expected, other determinants at the individual level included education status and age.</p><p><strong>Conclusion: </strong>In this state-wide representative analysis, physician density was completely unassociated with CRC screening, although health insurance status remains strongly related. In similar screening environments, broadened insurance coverage for CRC screening is likely to improve screening far more effectively than increased physician supply.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 Suppl 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664332/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141727943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cuiling Wei, Vincent Ka Chun Yan, Camille Maringe, Wenxin Tian, Rachel Yui Ki Chu, Wenlong Liu, Boyan Liu, Yuqi Hu, Lingyue Zhou, Celine Sze Ling Chui, Xue Li, Eric Yuk Fai Wan, Ching Lung Cheung, Esther Wai Yin Chan, William Chi Wai Wong, Ian Chi Kei Wong, Francisco Tsz Tsun Lai
{"title":"Effectiveness of post-COVID-19 primary care attendance in improving survival in very old patients with multimorbidity: a territory-wide target trial emulation","authors":"Cuiling Wei, Vincent Ka Chun Yan, Camille Maringe, Wenxin Tian, Rachel Yui Ki Chu, Wenlong Liu, Boyan Liu, Yuqi Hu, Lingyue Zhou, Celine Sze Ling Chui, Xue Li, Eric Yuk Fai Wan, Ching Lung Cheung, Esther Wai Yin Chan, William Chi Wai Wong, Ian Chi Kei Wong, Francisco Tsz Tsun Lai","doi":"10.1136/fmch-2024-002834","DOIUrl":"https://doi.org/10.1136/fmch-2024-002834","url":null,"abstract":"Objectives Older individuals with multimorbidity are at an elevated risk of infection and complications from COVID-19. Effectiveness of post-COVID-19 interventions or care models in reducing subsequent adverse outcomes in these individuals have rarely been examined. This study aims to examine the effectiveness of attending general outpatient within 30 days after discharge from COVID-19 on 1-year survival among older adults aged 85 years or above with multimorbidity. Design Retrospective cohort study emulating a randomised target trial using electronic health records. Setting We used data from the Hospital Authority and the Department of Health in Hong Kong, which provided comprehensive electronic health records, COVID-19 confirmed case data, population-based vaccination records and other individual characteristics for the study. Participants Adults aged 85 years or above with multimorbidity who were discharged after hospitalisation for COVID-19 between January 2020 and August 2022. Interventions Attending a general outpatient within 30 days of last COVID-19 discharge defined the exposure, compared to no outpatient visit. Main outcome measures Primary outcome was all-cause mortality within one year. Secondary outcomes included mortality from respiratory, cardiovascular and cancer causes. Results A total of 6183 eligible COVID-19 survivors were included in the analysis. The all-cause mortality rate following COVID-19 hospitalisation was lower in the general outpatient visit group (17.1 deaths per 100 person-year) compared with non-visit group (42.8 deaths per 100 person-year). After adjustment, primary care consultations within 30 days after discharge were associated with a significantly greater 1-year survival (difference in 1-year survival: 11.2%, 95% CI 8.1% to 14.4%). We also observed significantly better survival from respiratory diseases in the general outpatient visit group (difference in 1-year survival: 6.3%, 95% CI 3.5% to 8.9%). In a sensitivity analysis for different grace period lengths, we found that the earlier participants had a general outpatient visit after COVID-19 discharge, the better the survival. Conclusions Timely primary care consultations after COVID-19 hospitalisation may improve survival following COVID-19 hospitalisation among older adults aged 85 or above with multimorbidity. Expanding primary care services and implementing follow-up mechanisms are crucial to support this vulnerable population’s recovery and well-being. No data are available. The data custodian has not given permission for data sharing.","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"7 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiangqing Sun, Zhengyi Chen, Gregory S Cooper, Nathan A Berger, Claudia Coulton, Li Li
{"title":"Risk prediction of advanced colorectal neoplasia varies by race and neighbourhood socioeconomic status.","authors":"Xiangqing Sun, Zhengyi Chen, Gregory S Cooper, Nathan A Berger, Claudia Coulton, Li Li","doi":"10.1136/fmch-2024-002892","DOIUrl":"10.1136/fmch-2024-002892","url":null,"abstract":"<p><strong>Objective: </strong>Neighbourhood deprivation increases the risk of colorectal neoplasia and contributes to racial disparities observed in this disease. Developing race-specific advanced colorectal neoplasia (ACN) prediction models that include neighbourhood socioeconomic status has the potential to improve the accuracy of prediction.</p><p><strong>Methods: </strong>The study includes 1457 European Americans (EAs) and 936 African Americans (AAs) aged 50-80 years undergoing screening colonoscopy. Race-specific ACN risk prediction models were developed for EAs and AAs, respectively. Area Deprivation Index (ADI), derived from 17 variables of neighbourhood socioeconomic status, was evaluated by adding it to the ACN risk prediction models. Prediction accuracy was evaluated by concordance statistic (C-statistic) for discrimination and Hosmer-Lemeshow goodness-of-fit test for calibration.</p><p><strong>Results: </strong>With fewer predictors, the EA-specific and AA-specific prediction models had better prediction accuracy in the corresponding race/ethnic subpopulation than the overall model. Compared with the overall model which had poor calibration (<i>P</i> <sub>Calibration</sub>=0.053 in the whole population and <i>P</i> <sub>Calibration</sub>=0.011 in AAs), the EA model had C-statistic of 0.655 (95% CI 0.594 to 0.717) and <i>P</i> <sub>Calibration</sub>=0.663; and the AA model had C-statistic of 0.637 ((95% CI 0.572 to 0.702) and <i>P</i> <sub>Calibration</sub>=0.810. ADI was a significant predictor of ACN in EAs (OR=1.24 ((95% CI 1.03 to 1.50), <i>P</i>=0.029), but not in AAs (OR=1.07 ((95% CI 0.89 to 1.28), <i>P</i>=0.487). Adding ADI to the EA-specific ACN prediction model substantially improved ACN calibration accuracy of the prediction across area deprivation groups (<i>P</i> <sub>Calibration</sub>=0.924 with ADI vs <i>P</i> <sub>Calibration</sub>=0.140 without ADI) in EAs.</p><p><strong>Conclusions: </strong>Neighbourhood socioeconomic status is an important factor to consider in ACN risk prediction modeling. Moreover, non-race-specific prediction models have poor generalisability. Race-specific prediction models incorporating neighbourhood socioeconomic factors are needed to improve ACN prediction accuracy.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 Suppl 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11141178/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142688440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mehdi Mousavi, Shabnam Shafiee, Jason M Harley, Jackie Chi Kit Cheung, Samira Abbasgholizadeh Rahimi
{"title":"Performance of generative pre-trained transformers (GPTs) in Certification Examination of the College of Family Physicians of Canada.","authors":"Mehdi Mousavi, Shabnam Shafiee, Jason M Harley, Jackie Chi Kit Cheung, Samira Abbasgholizadeh Rahimi","doi":"10.1136/fmch-2023-002626","DOIUrl":"10.1136/fmch-2023-002626","url":null,"abstract":"<p><strong>Introduction: </strong>The application of large language models such as generative pre-trained transformers (GPTs) has been promising in medical education, and its performance has been tested for different medical exams. This study aims to assess the performance of GPTs in responding to a set of sample questions of short-answer management problems (SAMPs) from the certification exam of the College of Family Physicians of Canada (CFPC).</p><p><strong>Method: </strong>Between August 8th and 25th, 2023, we used GPT-3.5 and GPT-4 in five rounds to answer a sample of 77 SAMPs questions from the CFPC website. Two independent certified family physician reviewers scored AI-generated responses twice: first, according to the CFPC answer key (ie, CFPC score), and second, based on their knowledge and other references (ie, Reviews' score). An ordinal logistic generalised estimating equations (GEE) model was applied to analyse repeated measures across the five rounds.</p><p><strong>Result: </strong>According to the CFPC answer key, 607 (73.6%) lines of answers by GPT-3.5 and 691 (81%) by GPT-4 were deemed accurate. Reviewer's scoring suggested that about 84% of the lines of answers provided by GPT-3.5 and 93% of GPT-4 were correct. The GEE analysis confirmed that over five rounds, the likelihood of achieving a higher CFPC Score Percentage for GPT-4 was 2.31 times more than GPT-3.5 (OR: 2.31; 95% CI: 1.53 to 3.47; p<0.001). Similarly, the Reviewers' Score percentage for responses provided by GPT-4 over 5 rounds were 2.23 times more likely to exceed those of GPT-3.5 (OR: 2.23; 95% CI: 1.22 to 4.06; p=0.009). Running the GPTs after a one week interval, regeneration of the prompt or using or not using the prompt did not significantly change the CFPC score percentage.</p><p><strong>Conclusion: </strong>In our study, we used GPT-3.5 and GPT-4 to answer complex, open-ended sample questions of the CFPC exam and showed that more than 70% of the answers were accurate, and GPT-4 outperformed GPT-3.5 in responding to the questions. Large language models such as GPTs seem promising for assisting candidates of the CFPC exam by providing potential answers. However, their use for family medicine education and exam preparation needs further studies.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 Suppl 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11138270/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141162345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Limor Adler, Zorian Radomyslsky, Miri Mizrahi Reuveni, Eduardo Schejter, Ilan Yehoshua, Yakov Segal, Sara Kivity, Etti Naimi, Mor Saban
{"title":"Harnessing innovation to help meet the needs of elders: field testing an electronic tool to streamline geriatric assessments across healthcare settings.","authors":"Limor Adler, Zorian Radomyslsky, Miri Mizrahi Reuveni, Eduardo Schejter, Ilan Yehoshua, Yakov Segal, Sara Kivity, Etti Naimi, Mor Saban","doi":"10.1136/fmch-2024-002729","DOIUrl":"10.1136/fmch-2024-002729","url":null,"abstract":"<p><strong>Background: </strong>As populations age globally, effectively managing geriatric health poses challenges for primary care. Comprehensive geriatric assessments (CGAs) aim to address these challenges through multidisciplinary screening and coordinated care planning. However, most CGA tools and workflows have not been optimised for routine primary care delivery.</p><p><strong>Objective: </strong>This study aimed to evaluate the impact of a computerised CGA tool, called the Golden Age Visit, implemented in primary care in Israel.</p><p><strong>Methods: </strong>This study employed a quasiexperimental mixed-methods design to evaluate outcomes associated with the Golden Age electronic health assessment tool. Quantitative analysis used electronic medical records data from Maccabi Healthcare Services, the second largest health management organisation (HMO) in Israel. Patients aged 75 and older were included in analyses from January 2017 to December 2019 and January 2021 to December 2022. For patients, data were also collected on controls who did not participate in the Golden Age Visit programme during the same time period, to allow for comparison of outcomes. For physicians, qualitative data were collected via surveys and interviews with primary care physicians who used the Golden Age Visit SMARTEST e-assessment tool.</p><p><strong>Results: </strong>A total of 9022 community-dwelling adults aged 75 and older were included in the study: 1421 patients received a Golden Age Visit CGA (intervention group), and 7601 patients did not receive the assessment (control group). After CGAs, diagnosis rates increased significantly for neuropsychiatric conditions and falls. Referrals to physiotherapy, occupational therapy, dietetics and geriatric outpatient clinics also rose substantially. However, no differences were found in rates of hip fracture or relocation to long-term care between groups. Surveys among physicians (n=151) found high satisfaction with the programme.</p><p><strong>Conclusion: </strong>Implementation of a large-scale primary care CGA programme was associated with improved diagnosis and management of geriatric conditions. Physicians were also satisfied, suggesting good uptake and feasibility within usual care. Further high-quality studies are still needed but these results provide real-world support for proactively addressing geriatric health needs through structured screening models.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 2","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11103227/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140958890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}