Prioritization criteria in policies and management of human resources for health: a proposal for a validated methodology.

Objective: To create and validate criteria for prioritizing problems related to policies and management of the health workforce. Methods: This methodological study was divided into three stages. First, the criteria were elaborated by means of a systematized literature review. Second, the criteria were evaluated online by a committee of judges comprised of eight specialists. In the third stage, an evaluation was carried out by the target audience in a hybrid workshop. The participants evaluated the material using the Suitability Assessment of Materials instrument, adapted for the research. Results: Three prioritization criteria (relevance, window of opportunity and acceptability) and a scoring scale were developed based on the literature review. In the evaluation by the committee of judges, the approval percentage of the criteria and prioritization method was 84%. Modifications were made based on suggestions in relation to the material presented to the specialists. In the pre-test stage, the approval percentage varied by item, with six of them reaching a maximum approval of 100% (corresponding to approximately 46% of the items), four reaching 92% and three achieving 83% each, indicating positive results. Conclusions: The developed criteria were considered valid for use in the context of policies and management in the area of human resources for health.

Health Consequences Management in a Multi-Hazard Context: A Systematic Review of the Coincidence of Flood and the COVID-19 Pandemic.

OBJECTIVES: The co-occurring flood and coronavirus disease (COVID-19) increase the consequences for health and life. This study examined the strategies to manage the health consequences of the co-occurring flood and COVID-19, with a specific focus on these 2 challenges. METHODS: This review included all the studies published in peer-reviewed journals between January 1980 and June 2021. Several electronic databases were searched, including Scopus, Web of Science, and PubMed. Mixed Methods Appraisal Tools (MMT), version 2018, assessed the articles retrieved through a comprehensive and systematic literature search. Descriptive and thematic analyses were carried out to derive strategies for managing the health consequences of the simultaneous flood and COVID-19. RESULTS: Among 4271 identified articles, 10 were eligible for inclusion. In total, 199 strategies were identified in this review for managing the multi-hazard health consequences of flooding and COVID-19, which were classified into 9 categories and 25 subcategories. The categories included policy making and decision making, coordination, risk communication, logistics, planning, preparedness measures, response measures, social and humanitarian support, and actions of local communities and non-governmental organizations. CONCLUSIONS: Managing a multi-hazard and reducing its health consequences requires various actions. Flood management must be needed, and flood-affected people and their health should be protected.

Efficacy of the Flo App in Improving Health Literacy, Menstrual and General Health, and Well-Being in Women: Pilot Randomized Controlled Trial.

BACKGROUND: Reproductive health literacy and menstrual health awareness play a crucial role in ensuring the health and well-being of women and people who menstruate. Further, awareness of one's own menstrual cycle patterns and associated symptoms can help individuals identify and manage conditions of the menstrual cycle such as premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD). Digital health products, and specifically menstrual health apps, have the potential to effect positive change due to their scalability and ease of access. OBJECTIVE: The primary aim of this study was to measure the efficacy of a menstrual and reproductive health app, Flo, in improving health literacy and health and well-being outcomes in menstruating individuals with and without PMS and PMDD. Further, we explored the possibility that the use of the Flo app could positively influence feelings around reproductive health management and communication about health, menstrual cycle stigma, unplanned pregnancies, quality of life, work productivity, absenteeism, and body image. METHODS: We conducted 2 pilot, 3-month, unblinded, 2-armed, remote randomized controlled trials on the effects of using the Flo app in a sample of US-based (1) individuals who track their cycles (n=321) or (2) individuals who track their cycles and are affected by PMS or PMDD (n=117). RESULTS: The findings revealed significant improvements at the end of the study period compared to baseline for our primary outcomes of health literacy (cycle tracking: D̄=1.11; t311=5.73, P<.001; PMS or PMDD: D̄=1.20; t115=3.76, P<.001) and menstrual health awareness (D̄=3.97; t311=7.71, P<.001), health and well-being (D̄=3.44; t311=5.94, P<.001), and PMS or PMDD symptoms burden (D̄=-7.08; t115=-5.44, P<.001). Improvements were also observed for our secondary outcomes of feelings of control and management over health (D̄=1.01; t311=5.08, P<.001), communication about health (D̄=0.93; t311=2.41, P=.002), menstrual cycle stigma (D̄=-0.61; t311=-2.73, P=.007), and fear of unplanned pregnancies (D̄=-0.22; t311=-2.11, P=.04) for those who track their cycles, as well as absenteeism from work and education due to PMS or PMDD (D̄=-1.67; t144=-2.49, P=.01). CONCLUSIONS: These pilot randomized controlled trials demonstrate that the use of the Flo app improves menstrual health literacy and awareness, general health and well-being, and PMS or PMDD symptom burden. Considering the widespread use and affordability of the Flo app, these findings show promise for filling important gaps in current health care provisioning such as improving menstrual knowledge and health. TRIAL REGISTRATION: OSF Registries osf.io/pcgw7; https://osf.io/pcgw7 ; OSF Registries osf.io/ry8vq; https://osf.io/ry8vq.

Implementing Community-Based Strategies for Improved Pneumonia Care in Children: Insights From a Pilot Study.

INTRODUCTION: Respiratory ailments, encompassing a spectrum of disorders, are a leading cause of mortality and morbidity in children, with pneumonia being particularly significant, accounting for 16% of child mortality. To ensure timely engagement with healthcare services, it is imperative to instill awareness through Information, Education, and Communication (IEC) initiatives targeting mothers of children under five. The primary objective of this pilot study is to assess the feasibility of a community-based intervention on health-seeking behaviour, knowledge, and practice measures concerning the management and prevention of pneumonia in children. METHODOLOGY: The pilot study mirrored the main study's procedures in two villages, Bhuvanahalli and Gavanahalli, each randomly assigned as either an experimental or a control group. We selected 12 mothers with children under the age of five who had community-acquired pneumonia, employing a straightforward random technique, with six mothers from each group. These mothers were interviewed using a structured questionnaire focusing on health-seeking behaviour, knowledge, and practices related to the management and prevention of pneumonia. Mothers in the experimental group received a community-based intervention, specifically an educational set focusing on health-seeking behaviour, knowledge, and practice measures concerning the management and prevention of pneumonia in children, while those in the control group continued with their routine practices. We collected post-test data from the mothers in both groups at the 2nd, 4th, and 6th months of the intervention. The data analysis was conducted using the IBM SPSS Statistics for Windows, Version 28 (Released 2021; IBM Corp., Armonk, New York) software. The Mann-Whitney test and Kruskal-Wallis analyses indicated a notable and statistically significant shift in health-seeking behaviour, knowledge, and practices pertaining to the management and prevention of pneumonia in children as a result of the community-based educational intervention implemented in the experimental group (P<0.05). CONCLUSION: Community-based intervention is crucial to preventing mortality and morbidity in children. The findings of the pilot study affirm its feasibility and lay a strong foundation for further investigation and implementation.

Health Management of Working Pregnant Nurses: A grounded theory study.

AIM: To explore the recognition of pregnant nurses on how they managed their health conditions to examine safe working strategies. DESIGN: A qualitative study with a grounded theory approach. METHODS: Twenty-one nurses engaged in work during their pregnancy were recruited and interviewed using a semi-structured questionnaire from January to June 2021. The data were analysed using a constant comparative method. RESULTS: The core category 'duelling roles' and the four other categories emerged. Pregnant nurses understand the 'weight of one' of being a professional in the workplace. Therefore, despite their health concerns, they struggle to complete their work as one team member to avoid inconveniencing others. However, through experiencing various nursing situations, they 'perceive one's limits' of working as they had done before pregnancy and protect their health and patients. Nevertheless, interactions with patients and their colleagues bring 'delight in nursing', which encourages them to continue working. Pregnant nurses thus develop a 'prioritizing the foetus' working style to continue being nurses while protecting their health. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: These results provide meaningful guidance in considering safe job retention strategies for pregnant nurses. Sharing and developing the 'prioritizing the foetus' mindset and management skills gained by the participants may be beneficial for the appropriate health management of pregnant nurses. The study may also facilitate nursing managers' understanding of the experiences of pregnant nurses and encourage them to consider reviewing nursing practices. REPORTING METHOD: The Consolidated Criteria for Reporting Qualitative Studies checklist was used to ensure the quality of research reporting. PATIENT OR PUBLIC CONTRIBUTION: Members of the nursing team were involved in the design, conduct and interpretation of the data in this study.

Triple-Responsive, Multimodal, Visual Electronic Skin toward All-in-One Health Management for Gestational Diabetes Mellitus.

Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders during pregnancy, leading to serious complications for pregnant women and a threat to life safety of infants. Therefore, it is particularly important to establish a multipurpose monitoring pathway to important physiological indicators of pregnant women. In this work, three kinds of double network hydrogels are prepared with poly(vinyl alcohol) (PVA), borax, and cellulose ethers with varying substituents of methyl (methyl cellulose, MC), hydroxypropyl (hydroxypropyl cellulose, HPC), or both (hydroxypropyl methyl cellulose, HPMC), respectively. The corresponding toughness (143.9, 102.3, and 135.9 kJ cm-3) and conductivity (0.69, 0.45, and 0.51 S m-1) of the hydrogels demonstrate that PB-MC was endowed with the prominent performance. Molecular dynamics simulations further revealed the essence that hydrogen bond interactions between PVA and cellulose ethers play a critical role in regulating the structure and properties of hydrogels. Thermochromic capsule powders (TCPs) were subsequently doped in to achieve a composite hydrogel (TCPs@PB-MC) to indicate the change in human body temperature. Furthermore, the process of the TCPs@PB-MC response to glucose, pH, and temperature was tracked in-depth through the electrochemical window. This work provides a novel strategy for all-in-one health management of GDM.

[Advance in occupational health risks and management of shift work].

The occupational health issues of shift workers has received increasing attention in the field of occupational health, and discussed in this article through literature review on the health risks and management of shift work both domestically and internationally. Based on this, a series of impacts of shift work on the physiological and psychological health of workers, as well as their family and social life, are revealed. Combined with relatively mature regulations and policies in foreign countries, it is proposed that China should fully learn from the relevant experience of health management in shift work abroad, Strengthen research and explore effective management intervention measures to provide ideas for accelerating the development of scientifically feasible regulations and policies related to occupational health in shift work in China.

A Scalable and Robust Personal Health Management Textile with Multiple Desired Thermal Functions and Electromagnetic Shielding.

The development of functional textiles combining conventional apparel with advanced technologies for personal health management (PHM) has garnered widespread attention. However, the current PHM textiles often achieve multifunctionality by stacking functional modules, leading to poor durability and scalability. Herein, a scalable and robust PHM textile is designed by integrating electrical, radiative, and solar heating, electromagnetic interference (EMI) shielding, and piezoresistive sensing performance onto cotton fabric. This is achieved through an uncomplicated screen-printing process using silver paste. The conductivity of the PHM textile is ≈1.6  ×  104 S m-1, ensuring an electric heating temperature of ≈134 °C with a low voltage of 1.7 V, as well as an EMI shielding effectiveness of ≈56 dB, and human motion monitoring performance. Surprisingly, the radiative/solar heating capability of the PHM textile surpasses that of traditional warm leather. Even after undergoing rigorous physical and chemical treatments, the PHM textile maintains terrific durability. Additionally, the PHM textile possesses maneuverable scalability and comfortable wearability. This innovative work opens up new avenues for the strategic design of PHM textiles and provides an advantageous guarantee of mass production.

Effects of a Planned Web-Based Educational Intervention Based on the Health Belief Model for Patients With Ischemic Stroke in Promoting Secondary Prevention During the COVID-19 Lockdown in China: Quasi-Experimental Study.

Background: Some common modified vascular risk factors remain poorly controlled among stroke survivors, and educational programs may help improve these conditions. Objective: This study aimed to evaluate the effect of a planned web-based educational intervention based on the health belief model (HBM) in promoting secondary prevention among patients with ischemic stroke. Methods: An evaluation-blinded quasi-experimental trial with a historical control group was conducted. Patients admitted from March to June 2020 were assigned to the historical control group, and patients admitted from July to October 2020 were assigned to the intervention group. The control group received routine health management. The intervention group received 6 additional sessions based on the HBM via Tencent Meeting, an audio and video conferencing application, within 3 months after discharge. Sessions were held every 2 weeks, with each session lasting approximately 40 minutes. These sessions were conducted in small groups, with about 8 to 10 people in each group. The primary outcomes were changes in blood pressure (BP), low-density lipoprotein cholesterol (LDL-C), hemoglobin A1c (HbA1c), and the proportion of patients achieving the treatment target. The secondary outcomes were medication adherence, assessed with the Morisky Medicine Adherence Scale (MMAS), and disability, assessed with the modified Rankin scale. Results: In total, 315 patients experiencing their first-ever stroke were analyzed. More patients in the intervention group had controlled BP (41.9% vs 28.4%; adjusted odds ratio [aOR] 1.93; P=.01), LDL-C (83.1% vs 67.7%; aOR 2.66; P=.001), and HbA1c (91.9% vs 83.9%; aOR: 3.37; P=.04) levels as well as a significant postintervention decrease in the systolic BP (adjusted ß -3.94; P=.02), LDL-C (adjusted ß -0.21; P=.008), and HbA1c (adjusted ß -0.27; P<.001), compared with control groups. Significant between-group differences were observed in medication adherence (79.4% vs 63.2%; aOR 2.31; P=.002) but not in favorable functional outcomes. Conclusions: A web-based education program based on the HBM may be more effective than current methods used to educate patients having strokes on optimal vascular risk factors and medication adherence.

The Impact of Optimal Glycemic Control on Tuberculosis Treatment Outcomes in Patients With Diabetes Mellitus: Systematic Review and Meta-Analysis.

BACKGROUND: Diabetes mellitus (DM) increases the risk of developing tuberculosis (TB), and optimal glycemic control has been shown to reduce the risk of complications and improve the TB treatment outcomes in patients with DM. OBJECTIVE: This study aims to investigate the role of glycemic control in improving TB treatment outcomes among patients with DM. METHODS: MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials databases were searched for randomized controlled trials (RCTs) assessing the impact of oral glycemic control in patients with TB who have DM. Outcomes of interest were radiological findings, treatment success, sputum positivity, and mortality. Evaluations were reported as risk ratios (RRs) with 95% CIs using weighted random-effects models. RESULTS: The analysis included 6919 patients from 7 observational studies. Our meta-analysis showed significant differences between patients with optimal glycemic control and those with poor glycemic control with regard to improved treatment outcomes (RR 1.13, 95% CI 1.02-1.25; P=.02; I²=65%), reduced sputum positivity (RR 0.23, 95% CI 0.09-0.61; P=.003; I²=66%), and fewer cavitary lesions (RR 0.59, 95% CI 0.51-0.68; P<.001; I²=0%) in radiological findings. There was no significant difference between the 2 groups in terms of mortality (RR 0.57, 95% CI 0.22-1.49; P=.25; I²=0%), multilobar involvement (RR 0.57, 95% CI 0.22-1.49; P=.25; I²=0%) on radiologic examination, and upper lobe (RR 0.94, 95% CI 0.76-1.17; P=.58; I²=0%) and lower lobe (RR 1.05, 95% CI 0.48-2.30; P=.91; I²=75%) involvement on radiologic examination. CONCLUSIONS: We concluded that optimal glycemic control is crucial for reducing susceptibility, minimizing complications, and improving treatment outcomes in patients with TB with DM. Emphasizing effective health management and health care strategies are essential in achieving this control. Integrating comprehensive care among patients with TB with DM will enhance patient outcomes and alleviate the burden of disease in this population. TRIAL REGISTRATION: PROSPERO CRD42023427362; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=427362.

Two Randomized Controlled Trials of Nudges to Encourage Referrals to Centralized Pharmacy Services for Evidence-Based Statin Initiation in High-Risk Patients: Rationale and Design of the SUPER LIPID Program.

BACKGROUND: In patients with or at risk for atherosclerotic vascular disease, statins reduce the incidence of major adverse cardiovascular events, but the majority of U.S. adults with an indication for statin therapy are not prescribed statins at guideline-recommended intensity. Clinicians' limited time to address preventative care issues is cited as one factor contributing to gaps in statin prescribing. Centralized pharmacy services can fulfill a strategic role for population health management through outreach, education, and statin prescribing for patients at elevated ASCVD risk, but best practices for optimizing referrals of appropriate patients are unknown. STUDY DESIGN AND OBJECTIVES: SUPER LIPID (NCT05537064) is a program consisting of two pragmatic clinical trials testing the effect of nudges in increasing referrals of appropriate patients to a centralized pharmacy service for lipid management, conducted within 11 primary care practices in a large community health system. In both trials, patients were eligible for inclusion if they had an assigned primary care provider (PCP) in a participating practice and were not prescribed a high- or moderate-intensity statin despite an indication, identified via an electronic health record (EHR) algorithm. Trial #1 was a stepped wedge trial, conducted at a single practice with randomization at the PCP level, of an interruptive EHR message that appeared during eligible patients' visits and facilitated referral to the pharmacy service. For the first 3 months, no PCPs received the message; for the second 3 months, half were randomly selected to receive the message; and for the last 3 months, all PCPs received the message. Trial #2 was a cluster-randomized trial conducted at 10 practices, with randomization at the practice level. Practices were randomized to usual care or to have eligible patients automatically referred to centralized pharmacy services via a referral order placed in PCPs EHR inboxes for co-signature. In both trials, when a patient was referred to centralized pharmacy services, a pharmacist reviewed the patient's chart, contacted the patient, and initiated statin therapy if the patient agreed. The primary endpoint of both trials was the proportion of patients prescribed a statin; secondary endpoints include the proportion of patients prescribed a statin at guideline-recommended intensity, the proportion of patients filling a statin prescription, and serum low-density lipoprotein level. CONCLUSIONS: SUPER LIPID is a pair of pragmatic clinical trials assessing the effectiveness of two strategies to encourage referral of appropriate patients to a centralized pharmacy service for lipid management. The trial results will develop the evidence base for simple, scalable, EHR-based strategies to integrate clinical pharmacists into population health management and increase appropriate statin prescribing. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov; NCT05537064.

Job Burnout, Work Health Management Interference, and Organizational Health Climate Among Employees with Varied Levels of Work Ability.

PURPOSE: The presence of chronic health conditions (CHCs), without sufficient personal and job resources, can impede one's ability to effectively perform work tasks and manage job demands. The aim of this study was to evaluate the level of job burnout and perceptions of work health management interference (WHMI) and organizational health climate (OHC) among employees with varied levels of work ability (WA). We also examined relationships among these variables and with sociodemographic and job-related variables (e.g., age, number of physician-diagnosed conditions). METHODS: A convenience sample of 878 adults living and working in the United States who responded to a recruitment message via professional listservs/email lists and social media participated in a non-experimental, cross-sectional online survey. Participants reported sociodemographic and job-related items, as well as measures to evaluate WA, burnout, WHMI, and OHC. RESULTS: Statistically significant differences in burnout, WHMI, and OHC were observed across WA groups. Workers with poor WA reported the highest levels of overall burnout, WMHI, and the least supportive OHC. A more supportive OHC was associated with lower burnout. A strong inverse relationship between WA and the number of physician-diagnosed conditions was observed; weak relationships between WA and age, as well as WA and managerial status, were found. CONCLUSION: Employees with lower levels of WA tended to report higher levels of burnout and WHMI and lower levels of OHC. Findings provide a foundation for future research to examine causal relationships among these variables and to inform actions to both preserve WA and support worker well-being.

Assessing intersectional gender analysis in Nepal's health management information system: a case study on tuberculosis for inclusive health systems.

BACKGROUND: Tuberculosis (TB) remains a major public health problem in Nepal, high in settings marked by prevalent gender and social inequities. Various social stratifiers intersect, either privileging or oppressing individuals based on their characteristics and contexts, thereby increasing risks, vulnerabilities and marganilisation associated with TB. This study aimed to assess the inclusiveness of gender and other social stratifiers in key health related national policies and the Health Management Information System (HMIS) of National Tuberculosis Programme (NTP) by conducting an intersectional analysis of TB cases recorded via HMIS. METHODS: A desk review of key policies and the NTP's HMIS was conducted. Retrospective intersectional analysis utilized two secondary data sources: annual NTP report (2017-2021) and records of 628 TB cases via HMIS 6.5 from two TB centres (2017/18-2018/19). Chi-square test and multi-variate analysis was used to assess the association between social stratifers and types of TB, registration category and treatment outcome. RESULTS: Gender, social inclusion and concept of intersectionality are incorporated into various health policies and strategies but lack effective implementation. NTP has initiated the collection of age, sex, ethnicity and location data since 2014/15 through the HMIS. However, only age and sex disaggregated data are routinely reported, leaving recorded social stratifiers of TB patients static without analysis and dissemination. Furthermore, findings from the intersectional analysis using TB secondary data, showed that male more than 25 years exhibited higher odds [adjusted odds ratio (aOR) = 4.95, 95% confidence interval (CI): 1.60-19.06, P = 0.01)] of successful outcome compared to male TB patients less than 25 years. Similarly, sex was significantly associated with types of TB (P < 0.05) whereas both age (P < 0.05) and sex (P < 0.05) were significantly associated with patient registration category (old/new cases). CONCLUSIONS: The results highlight inadequacy in the availability of social stratifiers in the routine HMIS. This limitation hampers the NTP's ability to conduct intersectional analyses, crucial for unveiling the roles of other social determinants of TB. Such limitation underscores the need for more disaggregated data in routine NTP to better inform policies and plans contributing to the development of a more responsive and equitable TB programme and effectively addressing disparities.

Comparing the Effect of Early Versus Delayed Metformin Treatment on Glycaemic Parameters Among Australian Adults With Incident Diabetes: Evidence Using a National General Practice Database.

PURPOSE: To compare the effect of early vs delayed metformin treatment for glycaemic management among patients with incident diabetes. METHODS: Cohort study using electronic health records of regular patients (1+ visits per year in 3 consecutive years) aged 40+ years with 'incident' diabetes attending Australian general practices (MedicineInsight, 2011-2018). Patients with incident diabetes were defined as those who had a) 12+ months of medical data before the first recording of a diabetes diagnosis AND b) a diagnosis of 'diabetes' recorded at least twice in their electronic medical records or a diagnosis of 'diabetes' recorded only once combined with at least 1 abnormal glycaemic result (i.e., HbA1c ≥6.5%, fasting blood glucose [FBG] ≥7.0 mmol/L, or oral glucose tolerance test ≥11.1mmol/L) in the preceding 3 months. The effect of early (<3 months), timely (3-6 months), or delayed (6-12 months) initiation of metformin treatment vs no metformin treatment within 12 months of diagnosis on HbA1c and FBG levels 3 to 24 months after diagnosis was compared using linear regression and augmented inverse probability weighted models. Patients initially managed with other antidiabetic medications (alone or combined with metformin) were excluded. FINDINGS: Of 18,856 patients with incident diabetes, 38.8% were prescribed metformin within 3 months, 3.9% between 3 and 6 months, and 6.2% between 6 and 12 months after diagnosis. The untreated group had the lowest baseline parameters (mean HbA1c 6.4%; FBG 6.9mmol/L) and maintained steady levels throughout follow-up. Baseline glycaemic parameters for those on early treatment with metformin (<3 months since diagnosis) were the highest among all groups (mean HbA1c 7.6%; FBG 8.8mmol/L), reaching controlled levels at 3 to 6 months (mean HbA1c 6.5%; FBG 6.9mmol/L) with sustained improvement until the end of follow-up (mean HbA1c 6.4%; FBG 6.9mmol/L at 18-24 months). Patients with timely and delayed treatment also improved their glycaemic parameters after initiating treatment (timely treatment: mean HbA1c 7.3% and FBG 8.3mmol/L at 3-6 months; 6.6% and 6.9mmol/L at 6-12 months; delayed treatment: mean HbA1c 7.2% and FBG 8.4mmol/L at 6-12 months; 6.7% and 7.1mmol/L at 12-18 months). Compared to those not managed with metformin, the corresponding average treatment effect for HbA1c at 18-24 months was +0.04% (95%CI -0.05;0.10) for early, +0.24% (95%CI 0.11;0.37) for timely, and +0.29% (95%CI 0.20;0.39) for delayed treatment. IMPLICATIONS: Early metformin therapy (<3 months) for patients recently diagnosed with diabetes consistently improved HbA1c and FBG levels in the first 24 months of diagnosis.

An Economic Analysis for the Use of Artificial Intelligence in Screening for Diabetic Retinopathy in Trinidad and Tobago.

This is a systematic review of 25 publications on the topics of the prevalence and cost of diabetic retinopathy (DR) in Trinidad and Tobago, the cost of traditional methods of screening for DR, and the use and cost of artificial intelligence (AI) in screening for DR. Analysis of these publications was used to identify and make estimates for how resources allocated to ophthalmology in public health systems in Trinidad and Tobago can be more efficiently utilized by employing AI in diagnosing treatable DR. DR screening was found to be an effective method of detecting the disease. Screening was found to be a universally cost-effective method of disease prevention and for altering the natural history of the disease in the spectrum of low-middle to high-income economies, such as Rwanda, Thailand, China, South Korea, and Singapore. AI and deep learning systems were found to be clinically superior to, or as effective as, human graders in areas where they were deployed, indicating that the systems are clinically safe. They have been shown to improve access to diabetic retinal screening, improve compliance with screening appointments, and prove to be cost-effective, especially in rural areas. Trinidad and Tobago, which is estimated to be disproportionately more affected by the burden of DR when projected out to the mid-21st century, stands to save as much as US$60 million annually from the implementation of an AI-based system to screen for DR versus conventional manual grading.

Research on smart city public health detection system and improvement technology based on intelligent multi-objective.

Introduction: With the increase of urban population density, urban sanitation becomes more severe; urban sanitation has important influence on public health. Therefore, in order to realize the detection of public health in smart cities, the research will use cutting-edge scientific and technological methods to improve urban environmental health, so as to promote the realization of public health achievements. This study introduces public health detection and optimizationtechnologies for smart cities. Methods: Firstly, a data detection system for urban public health environment was established using sensors and intelligent multi-objective technology to evaluate the water quality, air quality, and noise level of the city. Then, an intelligent garbage management system based on Tensor-flow was constructed to achieve efficient garbage collection and treatment. Finally, an intelligent traffic management system was developed to monitor and regulate urban traffic flow. Results: The results of the simulation experiment demonstrated that the life data detection system was operationally stable, with a high success rate of 98%. Furthermore, its accuracy in detecting residents' living environment data was above 95%, the maximum relative error was only 0.0465, making it a reliable and efficient tool. The waste recycling system achieved a minimum accuracy of 83.6%, the highest accuracy rate was 95.3%, making it capable of sorting and recycling urban waste effectively. Additionally, the smart traffic management system led to a 20% reduction in traffic congestion rates, 20 tonnes less tailpipe emissions and an improvement in public health and well-being. Discussion: In summary, the plan proposed in this study aims to create a more comfortable, safe, and healthy urban public health environment, while providing theoretical support for environmental health management in smart cities.

Mobile App Use among Persons with Fibromyalgia: A Cross-sectional Survey.

Persons with fibromyalgia experience a diverse set of symptoms. Recommendations for management generally focus on multidisciplinary approaches involving multiple modalities. Mobile apps can be an essential component for self-management, yet little is known about how persons with fibromyalgia use mobile apps for health-related purposes. A cross-sectional survey (N = 663) was conducted to understand the real-world use of apps among persons with fibromyalgia. The survey included 2 main foci: 1) eHealth literacy and use of information sources, and 2) mobile app use patterns and preferences for health-related purposes, including the types of apps used and usage characteristics of apps currently in use, as well as those that had been discontinued. Respondents' average eHealth literacy as measured by eHealth Literacy Scale (eHEALS) was 31.4 (SD = 7.1), and they utilized diverse information sources. Approximately two-thirds of the sample used mobile apps; the remaining one-third did not. Diverse health management needs were represented in the apps reported, including scheduling/time management, notetaking, fitness, and wellness. Compared to apps that had been discontinued, participants rated apps that they still used higher in terms of ease of use and used them more frequently. Reasons for discontinuing app use included issues with privacy, the effort required, lack of interest, and lack of perceived quality. Other reasons for app nonuse were lack of awareness and how-to knowledge, indicating that disseminating information about apps and addressing other barriers, such as providing user support, are critical to increasing uptake. These study findings can inform both app design and dissemination. PERSPECTIVE: This article presents how persons with fibromyalgia use mobile apps to manage their health. The findings could inform the development of digital interventions or programs for this population.

Community-based Health Planning and Services programme in Ghana: a systematic review.

Introduction: Ghana established Community-based Health Planning and Services (CHPS) as the primary point of contact for primary healthcare in 1999. CHPS has since emerged as the country's primary strategy for providing close-to-client healthcare delivery, with numerous positive health outcomes recorded as a result of its implementation. There is, however currently a paucity of systematic reviews of the literature on CHPS. The purpose of this study was not only to investigate dominant trends and research themes in Community-based Health Planning and Services, but also to track the evolution of the CHPS intervention from its inception to the present. Method: We adopted a systematic review approach for selected articles that were searched on Google Scholar, PubMed, and Scopus databases. The study was conducted and guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. We then applied a reflexive thematic analysis approach in synthesizing the results. Results: The search resulted in 127 articles of which 59 were included in the final review. Twenty (20) papers targeted the national level, eighteen (18) for the regional level, sixteen (16) for the district level, two (2) for the sub-district level, and three (3) papers targeted the community. The years 2017 and 2019 were recorded to be the years with the highest number of publications on CHPS in Ghana. Conclusion: Community-based Health Planning and Services (CHPS) is an effective tool in addressing barriers and challenges to accessing quality and affordable health care causing significant effects on health. It provides close-to-client healthcare delivery in the community.