Family Medicine and Community Health最新文献

{"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}

{"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}

{"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}

{"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}

{"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> _Calibration=0.053 in the whole population and <i>P</i> _Calibration=0.011 in AAs), the EA model had C-statistic of 0.655 (95% CI 0.594 to 0.717) and <i>P</i> _Calibration=0.663; and the AA model had C-statistic of 0.637 ((95% CI 0.572 to 0.702) and <i>P</i> _Calibration=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> _Calibration=0.924 with ADI vs <i>P</i> _Calibration=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}

{"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}

{"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}

{"title":"Discussing menstrual health in family medicine","authors":"Allison R Casola, Alice Renaud, Ashwini Kamath Mulki","doi":"10.1136/fmch-2023-002149","DOIUrl":"https://doi.org/10.1136/fmch-2023-002149","url":null,"abstract":"Menstrual health is a general biological marker for many cisgender women, transgender men and non-binary people. Despite more than half of the population being people who menstruate, stigma, lack of conversation and pressing social needs around menstrual health persists throughout medicine.[1][1]","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"240 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140561659","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}

{"title":"Changes in family situation and concurrent changes in working life: a 15-year longitudinal analysis","authors":"Mo Wang, Pia Svedberg, Jurgita Narusyte, Annina Ropponen","doi":"10.1136/fmch-2023-002438","DOIUrl":"https://doi.org/10.1136/fmch-2023-002438","url":null,"abstract":"Objective Currently, little is known regarding changes in family situation with concurrent changes in working life. This study aimed to examine whether changes in family situation (based on living with children and/or marrying/divorcing) were associated with changes in working life and whether the associations were influenced by sex, genetics and early life environment. Design Prospective cohort study. Setting and participants Data from Swedish national registers of 16 410 twins were used. Fixed-effects logistic regression models assessing ORs with 95% CIs were applied to examine associations between changes in family situation and working life controlling for time-invariant effects and adjusted for covariates, and conditional models to account for confounding of genetics and early life environment. Results Changes in individuals life situation from being single and living without children to married and living with children were associated with transitioning from unsustainable (ie, having unemployment or sickness absence/disability pension) to sustainable working life (men: OR 2.40, 95% CI 2.26 to 2.56; women: OR 1.68, 95% CI 1.59 to 1.78). Changes from being married to single, in contrast, attenuated the likelihood of transitioning to a sustainable working life. Moreover, changes in men’s working life seem to be more dependent on changes in family situation compared with women. Genetic factors and early life environment play a role in the associations. Conclusions Family formation increases the likelihood of a more stable working life whereas divorce is a risk factor for work interruptions. Our study emphasises that family formation improves the work life situation and to a higher degree for men. Data may be obtained from a third party and are not publicly available.","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"18 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140561623","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}

{"title":"Implications of conscious AI in primary healthcare.","authors":"Dorsai Ranjbari, Samira Abbasgholizadeh Rahimi","doi":"10.1136/fmch-2023-002625","DOIUrl":"10.1136/fmch-2023-002625","url":null,"abstract":"<p><p>The conversation about consciousness of artificial intelligence (AI) is an ongoing topic since 1950s. Despite the numerous applications of AI identified in healthcare and primary healthcare, little is known about how a conscious AI would reshape its use in this domain. While there is a wide range of ideas as to whether AI can or cannot possess consciousness, a prevailing theme in all arguments is uncertainty. Given this uncertainty and the high stakes associated with the use of AI in primary healthcare, it is imperative to be prepared for all scenarios including conscious AI systems being used for medical diagnosis, shared decision-making and resource management in the future. This commentary serves as an overview of some of the pertinent evidence supporting the use of AI in primary healthcare and proposes ideas as to how consciousnesses of AI can support or further complicate these applications. Given the scarcity of evidence on the association between consciousness of AI and its current state of use in primary healthcare, our commentary identifies some directions for future research in this area including assessing patients', healthcare workers' and policy-makers' attitudes towards consciousness of AI systems in primary healthcare settings.</p>","PeriodicalId":44590,"journal":{"name":"Family Medicine and Community Health","volume":"12 Suppl 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10941173/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140132778","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}