Journal of Primary Care and Community Health最新文献

Introduction/objective: In Asia, 42% of young children suffer from iron deficiency anemia. Children have an increased requirement for iron intake because of growth and physical activity. Education plays an important role in anemia prevention and in ensuring children are aware of appropriate iron intake and the iron content of different foods. As a tool for this purpose, we adapted the adult version of the Revised Iron Intake Scale (RIIS) to create the Child and Adolescent Version of the Iron Intake Scale (CIIS), using illustrations to help children recognize the foods listed in the CIIS. We aimed to evaluate the validity and reliability of this new scale.

Methods: We conducted a cross-sectional study using a self-administered questionnaire to examine the criterion-related validity of the CIIS. We used Spearman's rank correlation coefficient to compare iron intake estimated by the CIIS with that calculated by the Brief-type Diet History Questionnaire (BDHQ-15y), which assesses respondents' dietary habits over the past month and is standardized among Japanese children. The survey was repeated twice to examine reliability.

Results: We found a moderate positive correlation for iron intake between the CIIS and BDHQ-15y, with a correlation coefficient of .52 (n = 258, P < .001). Cronbach's alpha coefficient was .718. The CIIS reproducibility test yielded a correlation coefficient of .67.

Conclusion: Our results indicated that the CIIS was valid, reliable, and reproducible. We therefore believe that the scale can be used to improve education about iron deficiency anemia and thereby reduce anemia rates among children and adolescents.

Objective: To describe blood pressure and glycemic control by racial/ethnic group in the US Community Health Center (CHC) patient population, and whether center characteristics, proxying for higher resource levels and better quality of care, were associated with greater rates of controlled cardiometabolic conditions.

Methods: Data came from the Uniform Data System, representing aggregate patient clinical data for individual health centers in 2019. Descriptive analyses were conducted weighting by health center patient populations to produce race-specific national rates of blood pressure and glycemic control, and linear regression is used to test whether cardiometabolic control rates varied by center characteristics.

Results: Hypertension was controlled for 67.2% of non-Hispanic White, 66.9% of Hispanic, and 56.7% of non-Hispanic Black patients. Diabetes was controlled for 70.7% of non-Hispanic White, 65.7% of Hispanic, and 66.1% of non-Hispanic Black patients. The rate of blood pressure control was 2.54 to 3.99 percentage points higher across racial/ethnic groups in health centers that adopted a patient-centered medical home (PCMH) model of care relative to non-PCMH centers, while glycemic control was 1.08 to 2.27 pp. higher as a function of PCMH certification. Results for other center characteristics did not show consistent patterns across racial groups or outcomes.

Conclusion: This study documented racial and ethnic health disparities in the CHC patient population after major expansion of the CHC program. CHCs with PCMH certification have improved clinical outcomes among patients with hypertension and diabetes across racial/ethnic groups relative to centers without this certification.

Introduction/objectives: The fecal immunochemical test (FIT) helps triage primary care patients at risk of colorectal cancer (CRC). Improving FIT returns has received recent attention, however uncertainty exists regarding the accurate completion of samples provided for laboratory analysis. This study aims to identify the rejection rate of returned FIT samples and determine rejection causes.

Methods: FIT samples from symptomatic patients within South Yorkshire, Bassetlaw, and North Derbyshire are processed at a central laboratory. Tests requests are made from 225 GP practices, which serve an estimated 2 million population. This study describes a retrospective review of FIT samples received in the central laboratory between 01/09/19 and 31/12/22. Locally held data was interrogated in March 2023 to determine the number of FIT samples received and rejected during the study period. Documented reasons for rejection were explored to identify common themes.

Results: Total FIT specimens received during the study period was 126 422. Of these, 5190 (4.1%) were rejected. Monthly rejection rates fell from 17.4% in September 2019 to 1.3% in December 2022 (P < .001). Sampling errors were the most frequent cause for FIT rejection (2151/5190), with other causes including: expired specimen; no sample collection date/ time, no request form, incomplete patient information and illegible handwriting.

Conclusions: This is the first study exploring FIT rejection rates in symptomatic primary care patients, which shows improvements in rejection rates over time. Targeted interventions could improve rejection rates further, thereby reducing NHS resource use and costs and diagnostic delays.

Background: Artificial intelligence (AI), which combines computer science with extensive datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost all fields of medicine and surgery.

Aim: This review focuses on the applications of AI in healthcare settings in developing countries, designed to underscore its significance by comprehensively outlining the advancements made thus far, the shortcomings encountered in AI applications, the present status of AI integration, persistent challenges, and innovative strategies to surmount them.

Methodology: Articles from PubMed, Google Scholar, and Cochrane were searched from 2000 to 2023 with keywords including AI and healthcare, focusing on multiple medical specialties.

Results: The increasing role of AI in diagnosis, prognosis prediction, and patient management, as well as hospital management and community healthcare, has made the overall healthcare system more efficient, especially in the high patient load setups and resource-limited areas of developing countries where patient care is often compromised. However, challenges, including low adoption rates and the absence of standardized guidelines, high installation and maintenance costs of equipment, poor transportation and connectivvity issues hinder AI's full use in healthcare.

Conclusion: Despite these challenges, AI holds a promising future in healthcare. Adequate knowledge and expertise of healthcare professionals for the use of AI technology in healthcare is imperative in developing nations.

This paper examines empathetic behavior in the United States, a strongly individualistic country, as contrasted with Hungary and Ethiopia, which are moderately individualistic and strongly collectivistic respectively. It suggests that empathy may have a wider than originally perceived application in diverse settings to combat factors of ethnic bias and discrimination that adversely impact health. Models that distinctly focus on the development of healthcare provider empathic care are needed to enable the needs of resource scarce regions of the world to be met, including pockets of the U.S. More investigation is warranted on how empathic behavior can positively impact health outcomes and disparities.

Community health promotion activities are a useful tool for a proactive approach to healthy lifestyles. However, the implementation of these types of activities at health centers is not standardized. The aim of this review was to analyse the characteristics of community activities undertaken in the primary care setting and substantiate available evidence on their health impact. We conducted a bibliographic review until November 15th, 2023 in the TRIPDATABASE, MEDLINE, EMBASE, and DIALNET databases. We included original papers on interventions, community activities, and actions and/or social prescriptions which had been implemented in a Primary Care setting, included a group approach in at least one session, and described some type of evaluation of the intervention applied. Studies targeted at professionals and those without involvement of the primary care team were excluded. The search identified 1912 potential studies. We included a total of 30 studies, comprising 11 randomized clinical trials, 14 quasi-experimental studies, 1 cohort study, and 4 qualitative studies. The issues most frequently addressed in community activities were healthy habits, physical activity, cardiovascular diseases and diabetes. Community activities can improve the physical and psychological environment of their participants, as well as their level of knowledge about the issues addressed. That said, however, implementation of these types of interventions is not uniform. The existence of a professional community-activity liaison officer at health centers, who would help integrate the health system with the community sector, could serve to standardize implementation and maximize the health impact of these types of interventions.

Introduction: The United States is experiencing maternity care shortages. Family physicians can play a role in addressing these shortages. Family medicine obstetrics fellowships train family physicians in obstetrics care. Fellowship websites are important for promoting programs and attracting applicants. However, whether websites provide sufficient program information is unknown. This study aimed to assess completeness and utility of family medicine obstetrics fellowship websites across the United States.

Method: The study analyzed 46 family medicine obstetrics fellowship websites. The component analysis evaluated the presence of 17 components related to orientation, curriculum, program, personnel, and additional content. The qualitative analysis included ratings for navigation and application, information quality, and esthetics. Analysis included percentages for websites and components and average qualitative ratings.

Results: Common components included overviews, training requirements, and contact information. Description of the patient population was the least common component. Usability ratings varied across programs, with higher ratings observed for navigation and application, and information quality. Esthetics and visual appeal received lower ratings. Regional analysis indicated that websites from fellowships in the West and Southwest tended to include more components compared to those in the Southeast.

Discussion: Family medicine obstetrics fellowship websites serve as valuable sources of program information for prospective applicants. However, not all websites include essential program details. Some information is rarely provided. Given the shortage of maternity care providers, it is crucial to develop informative and functional websites to attract applicants. Improving website content and design could prove to be a cost-effective strategy to increase the number of applicants.

Introduction/objective: Physicians and other health care professionals are challenged regularly to balance managing pain for patients with chronic pain receiving chronic opioid therapy (COT) with following the national guidelines and standards regarding daily morphine milligram equivalents (MME). This quality improvement project aimed to determine the effect of referral to a multidisciplinary review panel on daily MME for patients receiving COT for chronic pain.

Methods: This quality improvement project included patients who had an established relationship with a primary care or community internal medicine clinician at a large health care organization and were referred to a newly created multidisciplinary review panel for their recommendations regarding treatment of pain. Criteria for patient referral were diagnosis of a chronic, painful condition, and use of chronic opioid medications. These patients were selected and referred at the discretion of their primary care clinician from January 2, 2019, through December 31, 2020. Data for this project were collected at the time of initial referral to the panel and 6 months after recommendations. The daily MME were assessed at the 2 time points.

Results: Thirteen patients were referred to the review panel during the project period. The median daily MME at the time of referral was 180. Daily MME decreased by a median of 14 MME after 6 months. The MME did not increase during the project period for any participants.

Conclusions: Referral of patients receiving COT to a multidisciplinary review panel may reduce their daily opioid dose.

Purpose: COVID-19 impact on the population's mental health has been reported worldwide. Predicting healthcare workers' mental health and life stress is needed to proactively plan for future emergencies.

Design: Statistics Canada has surveyed Canadian healthcare workers and those working in healthcare settings to gauge their perceived mental health and perceived life stress.

Setting: A cross-sectional survey of healthcare workers in Canada.

Subjects: A sample of 18,139 healthcare workers respondents.

Analysis: Eight algorithms, including Logistic Regression, Random Forest (RF), Naive Bayes (NB), K Nearest Neighbours (KNN), Adaptive boost (AdaBoost), Multi-layer perceptron (MLP), XGBoost, and LightBoost. AUC scores, accuracy and precision were measured for all models.

Results: XGBoost provided the highest performing model AUC score (AUC = 82.07%) for predicting perceived mental health, and Random Forest performed the best for predicting perceived life stress (AUC = 77.74%). Perceived health, age group of participants, and perceived mental health compared to before the pandemic were found to be the most important 3 features to predict perceived mental health and perceived stress. Perceived mental health compared to before the pandemic was the most important predictor for perceived life stress.

Conclusion: Our models are highly predictive of healthcare workers' perceived mental health and life stress. Implementing scalable, non-expensive virtual mental health solutions to address mental health challenges in the workplace could mitigate the impact of workplace conditions on healthcare workers' mental health.

Background: In 2021, the Health Resources and Services Administration (HRSA) launched the National Hypertension Control Initiative (HTN Initiative) with the goal to enhance HTN control through Bluetooth-enabled self-measured blood pressure (BT-SMBP) monitoring and use this data to inform clinical decisions in Federally Qualified Health Centers (FQHCs) with a large proportion of their population with uncontrolled blood pressure (BP). We sought to understand the experience of Michigan-based FQHCs in implementing the HTN initiative.

Methods: Staff from three Michigan-based FQHCs were invited to participate in semi-structured interviews from September to November 2022. Interviews were conducted in-person and were based on the Tailored Implementation in Chronic Diseases framework. Content analysis was performed by three coders.

Results: Ten staff participated in interviews (FQHC 1: n = 6, FQHC 2: n = 1, FQHC 3: n = 3). The FQHCs differed in their stage of implementation and their approach. FQHC 1 created a large-scale, community health worker driven program, FQHC 2 created a small-scale, short term, BP device loan program, and FQHC 3 created a primarily outsourced, large-scale program through a contracted partner. Positive staff attitudes and outcome expectations, previous experience with SMBP grants, supportive clinic leadership, social support, and free BP cuff resources were identified as facilitators to implementation. Patients' high social needs, SMBP-related Technology, and insufficient workforce and staff capacity were identified as barriers.

Conclusion: BT-SMBP among FQHC patients is promising but challenges in integrating SMBP data into clinic workflow, workforce capacity to support the high social needs of participants, and to assist in reacting to the more frequent BP data remain to be overcome.