Family Medicine and Community Health最新文献

Objective: There were two primary objectives, namely: (1) to determine the social network types that Canadian adults aged 45 and older belong to and (2) to discover if social network type is associated with nutrition risk scores and the prevalence of high nutrition risk.

Design: A retrospective cross-sectional study.

Setting: Data from the Canadian Longitudinal Study on Aging (CLSA).

Participants: 17 051 Canadians aged 45 years and older with data from baseline and first follow-up of the CLSA.

Results: CLSA participants could be classified into one of seven different social network types that varied from restricted to diverse. We found a statistically significant association between social network type and nutrition risk scores and percentage of individuals at high nutrition risk at both time points. Individuals with restricted social networks had lower nutrition risk scores and are more likely to be at nutrition risk, whereas individuals with diverse social networks had higher nutrition risk scores and are less likely to be at nutrition risk.

Conclusions: Social network type was associated with nutrition risk in this representative sample of Canadian middle-aged and older adults. Providing adults with opportunities to deepen and diversify their social networks may decrease the prevalence of nutrition risk. Individuals with more restricted networks should be proactively screened for nutrition risk.

Objective: We performed a segmentation analysis of the unvaccinated adult US population to identify sociodemographic and psychographic characteristics of those who were vaccine accepting, vaccine unsure and vaccine averse.

Design: Cross-sectional.

Setting: Nationally representative, web-based survey.

Participants: 211 303 participants aged ≥18 years were asked in the Household Pulse Survey conducted during 1 December 2021 to 7 February 2022, whether they had ever received a COVID-19 vaccine. Those answering 'No' were asked their receptivity to the vaccine and their responses were categorised as vaccine averse, unsure and accepting. Adjusted prevalence ratios (APR) were calculated in separate multivariable Poisson regression models to evaluate the correlation of the three vaccine dispositions.

Results: Overall, 15.2% of US adults were unvaccinated during 1 December 2021 to 7 February 2022, ranging from 5.8% in District of Columbia to 29.0% in Wyoming. Of the entire unvaccinated population nationwide, 51.0% were vaccine averse, 35.0% vaccine unsure and 14.0% vaccine accepting. The likelihood of vaccine aversion was higher among those self-employed (APR=1.11, 95% CI 1.02 to 1.22) or working in a private company (APR=1.09, 95% CI 1.01 to 1.17) than those unemployed; living in a detached, single-family house than in a multiunit apartment (APR=1.15, 95% CI 1.04 to 1.26); and insured by Veterans Affairs/Tricare than uninsured (APR=1.22, 95% CI 1.01 to 1.47). Reasons for having not yet received a vaccine differed among those vaccine accepting, unsure and averse. The percentage reporting logistical or access-related barriers to getting a vaccine (eg, difficulty getting a vaccine, or perceived cost of the vaccine) was relatively higher than those vaccine accepting. Those vaccine unsure reported the highest prevalence of barriers related to perceived safety/effectiveness, including wanting to 'wait and see' if the vaccines were safe (45.2%) and uncertainty whether the vaccines would be effective in protecting them from COVID-19 (29.6%). Those vaccine averse reported the highest prevalence for barriers pertaining to lack of trust in the government or in the vaccines (50.1% and 57.5% respectively), the perception that COVID-19 was not that big of a threat (32.2%) and the perception that they did not need a vaccine (42.3%).

Conclusions: The unvaccinated segment of the population is not a monolith, and a substantial segment may still get vaccinated if constraining factors are adequately addressed.

Negotiating a resource package as a potential new department chair is common practice in academic medicine. The foundations for this negotiation include the historical presence of the department in relation to the broader institution, projections for future growth, accounting for mission/vision, resource needs (space, personnel, finances, etc), faculty and staff development, and external partnerships within and outside the institution. Despite similarities in this process across departments, many nuances influence the development of a specific new chair package, such as, department size; desires, perspectives and talents of the incoming chair, the department faculty, the medical school and dean; prevailing agendas and mission imperatives; and the overall priorities of the institution. With strategy and forethought, a new chair package can promote a successful chair tenure and departmental growth. Assembled through the Association of Departments of Family Medicine with input from several dozen department chairs and senior leaders, this is intended to serve as a practical guide to new chair packages for chair candidates.

Given the increase in pornography use among adolescents over the years, we discuss the impact of its use on sexual health development as well as the role of primary care providers (PCPs) in assessing use and providing sexual health education. While pornography use is often viewed negatively, it is important to develop unbiased understanding of the use in order to provide non-judgemental, adolescent-focused and educational care. As PCPs are often the first point of contact when adolescents experience medical and behavioural health concerns, it is essential for them to be equipped to screen for pornography use effectively, create a confidential and comfortable environment to talk about pornography use and sexuality, and be informed of ways to promote open discussion between youth and parents. In addition to PCP involvement, parental collaboration, knowledge and comfortability with discussing pornography use with their child are powerful tools in understanding and navigating pornography use in this population. This special communication seeks to provide an objective view of adolescents' pornography use, guidelines for screening of pornography use and ways to facilitate conversations about the use between adolescents and caregivers.

Objective: Artificial intelligence (AI) will have a significant impact on healthcare over the coming decade. At the same time, health inequity remains one of the biggest challenges. Primary care is both a driver and a mitigator of health inequities and with AI gaining traction in primary care, there is a need for a holistic understanding of how AI affect health inequities, through the act of providing care and through potential system effects. This paper presents a systematic scoping review of the ways AI implementation in primary care may impact health inequity.

Design: Following a systematic scoping review approach, we searched for literature related to AI, health inequity, and implementation challenges of AI in primary care. In addition, articles from primary exploratory searches were added, and through reference screening.The results were thematically summarised and used to produce both a narrative and conceptual model for the mechanisms by which social determinants of health and AI in primary care could interact to either improve or worsen health inequities.Two public advisors were involved in the review process.

Eligibility criteria: Peer-reviewed publications and grey literature in English and Scandinavian languages.

Information sources: PubMed, SCOPUS and JSTOR.

Results: A total of 1529 publications were identified, of which 86 met the inclusion criteria. The findings were summarised under six different domains, covering both positive and negative effects: (1) access, (2) trust, (3) dehumanisation, (4) agency for self-care, (5) algorithmic bias and (6) external effects. The five first domains cover aspects of the interface between the patient and the primary care system, while the last domain covers care system-wide and societal effects of AI in primary care. A graphical model has been produced to illustrate this. Community involvement throughout the whole process of designing and implementing of AI in primary care was a common suggestion to mitigate the potential negative effects of AI.

Conclusion: AI has the potential to affect health inequities through a multitude of ways, both directly in the patient consultation and through transformative system effects. This review summarises these effects from a system tive and provides a base for future research into responsible implementation.

Objective: The proliferation and growing demands of genetic testing are anticipated to revolutionise medical practice. As gatekeepers of healthcare systems, general practitioners (GPs) are expected to play a critical role in the provision of clinical genetic services. This paper aims to review existing literature on GPs' experience, attitudes and needs towards clinical genetic services.

Design: A systematic mixed studies review of papers published between 2010 and 2022.

Eligibility criteria: The inclusion criterion was peer-reviewed articles in English and related to GPs' experience, views and needs on any genetic testing.

Information sources: The PubMed, PsycINFO, Cochrane, EMBASE databases were searched using Mesh terms, Boolean and wildcards combinations to identify peer-reviewed articles published from 2010 to 2022. Study quality was assessed using Mixed Methods Appraisal Tool. Only articles that fulfilled the inclusion criteria were selected. A thematic meta-synthesis was conducted on the final sample of selected articles to identify key themes.

Results: A total of 62 articles were included in the review. Uncertainty over GPs' role in providing genetic services were attributed by the lack of confidence and time constraints and rarity of cases may further exacerbate their reluctance to shoulder an expanded role in clinical genetics. Although educational interventions were found to increasing GPs' knowledge and confidence to carry out genetic tasks, varied interest on genetic testing and preference for a shared care model with other genetic health professionals have resulted in minimal translation to clinical adoption.

Conclusion: This review highlights the need for deeper exploration of GPs' varied experience and attitudes towards clinical genetic services to better facilitate targeted intervention in the adoption of clinical genetics.

Objective: The objective of this study was to apply a strength-based approach to examine the relation of cultural and social determinants to high family functioning for Aboriginal people in Central Australia.

Design: Cross-sectional study involving a quantitative analysis of survey data. Prevalence rate ratios (PRs) and 95% CIs were calculated from binomial regressions, adjusted for gender and age. Qualitative data from workshops with Aboriginal leaders in Central Australia supported the interpretation of the research findings.

Participants: The study involved 639 Aboriginal people in Central Australia who participated in the Mayi Kuwayu Study.

Result: Overall, 57.9% (370/639) of participants reported high/very high family functioning, 16.9% (108/639) reported moderate and 13.3% (85/639) reported low. The adjusted prevalence of family functioning was similar across gender, age groups and household sizes. Family functioning was associated with lower family financial status (aPR=0.74, 95% CI=0.60 to 0.91) and receiving welfare (0.88, 0.77 to 1.00). Family functioning was greater with high community cohesion (2.72, 1.68 to 4.39), high individual agency in community (2.15, 1.63 to 2.85); having an Aboriginal language as a first language (1.20, 1.04 to 1.37); speaking your Aboriginal language a lot (1.37, 1.12 to 1.68); high exposure to cultural practice and knowledge (1.45, 1.28 to 1.65); and multigenerational or extended family households (1.19, 1.02 to 1.38).

Conclusion: High family functioning is a strength in Central Australia and is intrinsically connected with culture. Healthcare providers and programmes that build on the foundations of culture and family are an important approach to improving wellbeing.

Objective: This study aimed to determine the association of health determinants, lifestyle and socioeconomic variables on healthcare use in people with diabetes in Europe.

Design: A cross-sectional study was conducted using data from the European Health Interview Survey wave 2 (ie, secondary analysis).

Setting: The sample included data from 25 European countries.

Participants: The sample included 16 270 patients with diabetes aged 15 years or older (49.1% men and 50.9% women).

Results: The survey data showed that 58.2% of respondents had seen their primary care physician in the past month and 22.6% had been admitted to the hospital in the past year. Use of primary care was associated with being retired (prevalence ratio (PR) 1.13, 95% CI 1.07 to 1.19) and having very poor self-perceived health (PR 1.80, 95% CI 1.51 to 2.15), long-standing health problems (PR 1.14, 95% CI 1.04 to 1.24), high blood pressure (PR 1.06, 95% CI 1.03 to 1.10) and chronic back pain (PR 1.07, 95% CI 1.04 to 1.11). Hospital admission was associated with very poor self-perceived health (PR 3.03, 95% CI 2.14 to 4.31), accidents at home (PR 1.54, 95% CI 1.40 to 1.69), chronic obstructive pulmonary disease (COPD) (PR 1.34, 95% CI 1.22 to 1.47), high blood pressure (PR 1.08, 95% CI 1.01 to 1.17), chronic back pain (PR 0.91, 95% CI 0.84 to 0.98), moderate difficulty walking (PR 1.33, 95% CI 1.21 to 1.45) and severe difficulty walking (PR 1.67, 95% CI 1.51 to 1.85).

Conclusions: In the European diabetic population, the high cumulative incidences of primary care visits and hospital admissions are associated with labour status, alcohol consumption, self-perceived health, long-standing health problems, high blood pressure, chronic back pain, accidents at home, COPD and difficulty walking.

Objective: Social prescribing is a person-centred model of care with emphases on lessening the impact of unmet social needs, supporting the delivery of personalised care, and reducing non-medical resource use in the primary care setting. The purpose of this systematic review was to synthesise the effect of social prescribing for older adults within primary care.

Design: We followed standard systematic review guidelines, including protocol registration, screening studies (title/abstract and full text) and assessing the study quality.

Eligibility and information sources: We searched multiple online databases for studies that included older adults 60+ years (group mean age), an intervention defined and called social prescribing (or social prescription) via health provider referrals to non-medical services, and quantitative physical and psychosocial outcomes and/or health resource use. We included experimental and observational studies from all years and languages and conducted a narrative synthesis. The date of the last search was 24 March 2022.

Results: We screened 406 citations (after removing duplicates) and included seven studies. All studies except one were before-after design without a control group, and all except one study was conducted in the UK. Studies included 12-159 participants (baseline), there were more women than men, the group mean (SD) age was 76.1 (4.0) years and data collection (baseline to final) occurred on average 19.4 (14.0) weeks apart. Social prescribing referrals came from health and social providers. Studies had considerable risk of bias, programme implementation details were missing, and for studies that reported data (n=6) on average only 66% of participants completed studies (per-protocol). There were some positive effects of social prescribing on physical and psychosocial outcomes (eg, social participation, well-being). Findings varied for health resource use. These results may change with new evidence.

Conclusions: There were few peer-reviewed studies available for social prescribing and older adults. Next steps for social prescribing should include co-creating initiatives with providers, older people and communities to identify meaningful outcomes, and feasible and robust methods for uptake of the prescription and community programmes. This should be considered in advance or in parallel with determining its effectiveness for meaningful outcomes at multiple levels (person, provider and programme).

Objectives: SARS-CoV-2 infection (COVID-19) has affected tertiary medical institutions and primary care. Admission for ambulatory care sensitive conditions (ACSCs) is an important indicator of primary care quality. However, no nationwide study, especially in Asia, has examined the association between admissions for ACSCs and local surges in COVID-19. This study aimed to examine how the number of admissions for ACSCs has changed in Japan between the areas with higher and lower rates of COVID-19 infection.

Design: This was a retrospective two-stage cross-sectional study. We employed a difference-in-difference design to compare the number of hospital admissions for ACSCs between the areas with higher and lower rates of COVID-19 infection in Japan.

Setting: The study used a nationwide database in Japan.

Participants: All patients were aged 20 years and above and were admitted due to ACSCs during the study period between March and September 2019 (before the pandemic) and between March and September 2020 (during the pandemic).

Results: The total number of ACSC admissions was 464 560 (276 530 in 2019 and 188 030 in 2020). The change in the number of admissions for ACSCs per 100 000 was not statistically significant between the areas with higher and lower rates of COVID-19 infection: 7.50 (95% CI -87.02 to 102.01). In addition, in acute, chronic and preventable ACSCs, the number of admissions per 100 000 individuals did not change significantly.

Conclusion: Although admissions for ACSCs decreased during the COVID-19 pandemic, there was no significant change between the areas with higher and lower rates of COVID-19 infection. This implies that the COVID-19 pandemic affected the areas with higher infection rates and the areas with lower rates.