The Role of Health Technologies in Multicomponent Primary Care Interventions: Systematic Review.

BACKGROUND: Several countries around the world have implemented multicomponent interventions to enhance primary care, as a way of strengthening their health systems to cope with an aging chronically ill population and rising costs. Some of these efforts have included technology-based enhancements as one of the features to support the overall intervention, but their details and impacts have not been explored. OBJECTIVE: This study aimed to identify the role of digital/health technologies within wider multifeature interventions that are aimed at enhancing primary care, and to describe their aims and stakeholders, types of technologies used, and potential impacts. METHODS: A systematic review was performed following Cochrane guidelines. An electronic search, conducted on May 30, 2019, was supplemented with manual and grey literature searches in December 2019, to identify multicomponent interventions that included at least one technology-based enhancement. After title/abstract and full text screening, selected articles were assessed for quality based on their study design. A descriptive narrative synthesis was used for analysis and presentation of the results. RESULTS: Of 37 articles, 14 (38%) described the inclusion of a technology-based innovation as part of their multicomponent interventions to enhance primary care. The most commonly identified technologies were the use of electronic health records, data monitoring technologies, and online portals with messaging platforms. The most common aim of these technologies was to improve continuity of care and comprehensiveness, which resulted in increased patient satisfaction, increased primary care visits compared to specialist visits, and the provision of more health prevention education and improved prescribing practices. Technologies seem also to increase costs and utilization for some parameters, such as increased consultation costs and increased number of drugs prescribed. CONCLUSIONS: Technologies and digital health have not played a major role within comprehensive innovation efforts aimed at enhancing primary care, reflecting that these technologies have not yet reached maturity or wider acceptance as a means for improving primary care. Stronger policy and financial support, and advocacy of key stakeholders are needed to encourage the introduction of efficient technological innovations, which are backed by evidence-based research, so that digital technologies can fulfill the promise of supporting strong sustainable primary care.

Appropriateness of action prompts for hypoglycaemia and hyperglycaemia in type 2 diabetes self-management apps.

BACKGROUND: Control of blood glucose levels is needed not only to alleviate symptoms of hypoglycaemia and hyperglycaemia, but also to prevent or delay diabetes-related complications. Advice for glucose control is usually provided to patients by members of the health care team. However, many diabetes apps claim to enhance self-management of blood glucose by providing decision support to patients when an out-of-range blood glucose level is recorded. In this study, we investigated the appropriateness of action prompts provided by diabetes apps for hypoglycaemia and hyperglycaemia against evidence-based guidelines. METHODS: We used methods previously reported to identify and select diabetes apps, which were downloaded and assessed against the American Diabetes Association (ADA) guidelines. Screenshots of action prompts corresponding to low or high out-of-range blood glucose values were subjected to content analysis. RESULTS: Of 371 diabetes self-management apps evaluated, only 217 and 216 apps alerted patients about hypoglycaemia and hyperglycaemia, respectively. Of these, 20.7% (45/217) and 15.3% (33/216) also provided action prompts. We found 5.1% of apps (hypoglycaemia: 11/217; hyperglycaemia: 11/216) provided prompts that were either too general to be helpful or not aligned with ADA guidelines. Overall, only 17.9% (39/217) and 14.8% (32/216) provided appropriate action prompts for hypoglycaemia and hyperglycaemia, respectively. CONCLUSION: Less than one fifth of apps provided evidence-based steps to guide patients through hypoglycaemia and hyperglycaemia. The majority of apps failed to provide just-in-time diabetes self-management education to prevent frequent or severe episodes of hypoglycaemia and hyperglycaemia. Our findings emphasize the need for better design and quality assurance of diabetes apps.

A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks.

BACKGROUND: Digital health technologies can be key to improving health outcomes, provided health care workers are adequately trained to use these technologies. There have been efforts to identify digital competencies for different health care worker groups; however, an overview of these efforts has yet to be consolidated and analyzed. OBJECTIVE: The review aims to identify and study existing digital health competency frameworks for health care workers and provide recommendations for future digital health training initiatives and framework development. METHODS: A literature search was performed to collate digital health competency frameworks published from 2000. A total of 6 databases including gray literature sources such as OpenGrey, ResearchGate, Google Scholar, Google, and websites of relevant associations were searched in November 2019. Screening and data extraction were performed in parallel by the reviewers. The included evidence is narratively described in terms of characteristics, evolution, and structural composition of frameworks. A thematic analysis was also performed to identify common themes across the included frameworks. RESULTS: In total, 30 frameworks were included in this review, a majority of which aimed at nurses, originated from high-income countries, were published since 2016, and were developed via literature reviews, followed by expert consultations. The thematic analysis uncovered 28 digital health competency domains across the included frameworks. The most prevalent domains pertained to basic information technology literacy, health information management, digital communication, ethical, legal, or regulatory requirements, and data privacy and security. The Health Information Technology Competencies framework was found to be the most comprehensive framework, as it presented 21 out of the 28 identified domains, had the highest number of competencies, and targeted a wide variety of health care workers. CONCLUSIONS: Digital health training initiatives should focus on competencies relevant to a particular health care worker group, role, level of seniority, and setting. The findings from this review can inform and guide digital health training initiatives. The most prevalent competency domains identified represent essential interprofessional competencies to be incorporated into health care workers' training. Digital health frameworks should be regularly updated with novel digital health technologies, be applicable to low- and middle-income countries, and include overlooked health care worker groups such as allied health professionals.

Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review.

BACKGROUND: Digital medical interview assistant (DMIA) systems, also known as computer-assisted history taking (CAHT) systems, have the potential to improve the quality of care and the medical consultation by exploring more patient-related aspects without time constraints and, therefore, acquiring more and better-quality information prior to the face-to-face consultation. The consultation in primary care is the broadest in terms of the amount of topics to be covered and, at the same time, the shortest in terms of time spent with the patient. OBJECTIVE: Our aim is to explore how DMIA systems may be used specifically in the context of primary care, to improve the consultations for diabetes and depression, as exemplars of chronic conditions. METHODS: A narrative review was conducted focusing on (1) the characteristics of the primary care consultation in general, and for diabetes and depression specifically, and (2) the impact of DMIA and CAHT systems on the medical consultation. Through thematic analysis, we identified the characteristics of the primary care consultation that a DMIA system would be able to improve. Based on the identified primary care consultation tasks and the potential benefits of DMIA systems, we developed a sample questionnaire for diabetes and depression to illustrate how such a system may work. RESULTS: A DMIA system, prior to the first consultation, could aid in the essential primary care tasks of case finding and screening, diagnosing, and, if needed, timely referral to specialists or urgent care. Similarly, for follow-up consultations, this system could aid with the control and monitoring of these conditions, help check for additional health issues, and update the primary care provider about visits to other providers or further testing. Successfully implementing a DMIA system for these tasks would improve the quality of the data obtained, which means earlier diagnosis and treatment. Such a system would improve the use of face-to-face consultation time, thereby streamlining the interaction and allowing the focus to be the patient's needs, which ultimately would lead to better health outcomes and patient satisfaction. However, for such a system to be successfully incorporated, there are important considerations to be taken into account, such as the language to be used and the challenges for implementing eHealth innovations in primary care and health care in general. CONCLUSIONS: Given the benefits explored here, we foresee that DMIA systems could have an important impact in the primary care consultation for diabetes and depression and, potentially, for other chronic conditions. Earlier case finding and a more accurate diagnosis, due to more and better-quality data, paired with improved monitoring of disease progress should improve the quality of care and keep the management of chronic conditions at the primary care level. A somewhat simple, easily scalable technology could go a long way to improve the health of the millions of people affected with chronic conditions, especially if working in conjunction with already-established health technologies such as electronic medical records and clinical decision support systems.

Medication management support in diabetes: a systematic assessment of diabetes self-management apps.

BACKGROUND: Smartphone apps are becoming increasingly popular for supporting diabetes self-management. A key aspect of diabetes self-management is appropriate medication-taking. This study aims to systematically assess and characterise the medication management features in diabetes self-management apps and their congruence with best-practice evidence-based criteria. METHODS: The Google Play and Apple app stores were searched in June 2018 using diabetes-related terms in the English language. Apps with both medication and blood glucose management features were downloaded and evaluated against assessment criteria derived from international medication management and diabetes guidelines. RESULTS: Our search yielded 3369 Android and 1799 iOS potentially relevant apps; of which, 143 apps (81 Android, 62 iOS) met inclusion criteria and were downloaded and assessed. Over half 58.0% (83/143) of the apps had a medication reminder feature; 16.8% (24/143) had a feature to review medication adherence; 39.9% (57/143) allowed entry of medication-taking instructions; 5.6% (8/143) provided information about medication; and 4.2% (6/143) displayed motivational messages to encourage medication-taking. Only two apps prompted users on the use of complementary medicine. Issues such as limited medication logging capacity, faulty reminder features, unclear medication adherence assessment, and visually distracting excessive advertising were observed during app assessments. CONCLUSIONS: A large proportion of diabetes self-management apps lacked features for enhancing medication adherence and safety. More emphasis should be given to the design of medication management features in diabetes apps to improve their alignment to evidence-based best practice.

State of advance care planning research: A descriptive overview of systematic reviews.

OBJECTIVE: To provide an overview of the current state of research of advance care planning (ACP), highlighting most studied topics, publication time, quality of studies and reported outcomes, and to identify gaps to improve ACP receptivity, utilization, implementation, and outcomes. METHOD: Cochrane methodology for conducting overviews of systematic reviews. Study quality was assessed using a modified version of the Assessing the Methodological Quality of Systematic Reviews tool. The following databases were searched from inception to April 2017: MEDLINE, EBM Reviews, Cochrane Reviews, CINAHL, Global Health, PsycINFO, and EMBASE. Searches were supplemented with gray literature and manual searches. RESULT: Eighty systematic reviews, covering 1,662 single articles, show that ACP-related research focuses on nine main topics: (1) ACP as part of end-of-life or palliative care interventions, (2) care decision-making; (3) communication strategies; (4) factors influencing ACP implementation; (5) ACP for specific patient groups, (6) ACP effectiveness; (7) ACP experiences; (8) ACP cost; and (9) ACP outcome measures. The majority of this research was published since 2014, its quality ranges from moderate to low, and reports on documentation, concordance, preferences, and resource utilization outcomes. SIGNIFICANCE OF RESULTS: Despite the surge of ACP research, there are major knowledge gaps about ACP initiation, timeliness, optimal content, and impact because of the low quality and fragmentation of the available evidence. Research has mostly focused on discrete aspects within ACP instead of using a holistic evaluative approach that takes into account its intricate working mechanisms, the effects of systems and contexts, and the impacts on multilevel stakeholders. Higher quality studies and innovative interventions are needed to develop effective ACP programs and address research gaps.

Measuring the bias against low-income country research: an Implicit Association Test.

BACKGROUND: With an increasing array of innovations and research emerging from low-income countries there is a growing recognition that even high-income countries could learn from these contexts. It is well known that the source of a product influences perception of that product, but little research has examined whether this applies also in evidence-based medicine and decision-making. In order to examine likely barriers to learning from low-income countries, this study uses established methods in cognitive psychology to explore whether healthcare professionals and researchers implicitly associate good research with rich countries more so than with poor countries. METHODS: Computer-based Implicit Association Test (IAT) distributed to healthcare professionals and researchers. Stimuli representing Rich Countries were chosen from OECD members in the top ten (>$36,000 per capita) World Bank rankings and Poor Countries were chosen from the bottom thirty (<$1000 per capita) countries by GDP per capita, in both cases giving attention to regional representation. Stimuli representing Research were descriptors of the motivation (objective/biased), value (useful/worthless), clarity (precise/vague), process (transparent/dishonest), and trustworthiness (credible/unreliable) of research. IAT results are presented as a Cohen's d statistic. Quantile regression was used to assess the contribution of covariates (e.g. age, sex, country of origin) to different values of IAT responses that correspond to different levels of implicit bias. Poisson regression was used to model dichotomized responses to the explicit bias item. RESULTS: Three hundred twenty one tests were completed in a four-week period between March and April 2015. The mean Implicit Association Test result (a standardized mean relative latency between congruent and non-congruent categories) for the sample was 0.57 (95% CI 0.52 to 0.61) indicating that on average our sample exhibited moderately strong implicit associations between Rich Countries and Good Research. People over 40 years of age were less likely to exhibit pro-poor implicit associations, and being a peer reviewer contributes to a more pro-poor association. CONCLUSIONS: The majority of our participants associate Good Research with Rich Countries, compared to Poor Countries. Implicit associations such as these might disfavor research from poor countries in research evaluation, evidence-based medicine and diffusion of innovations.

Compliance with minimum price and legal age for cigarette purchase laws: evidence from NYC in advance of raising purchase age to 21.

BACKGROUND: New York City (NYC) raised the minimum purchase age for cigarettes from 18 to 21 on 1 August 2014. The new law is intended to decrease current smoking rates and smoking initiation among the city's youth. Assessment of compliance with existing cigarette sales and tax laws could aid in determining what may be needed for successful implementation of the city's new law. PURPOSE: To assess compliance with minimum sales price and purchase age laws in NYC, before change in law. METHODS: Ten trained field investigators purchased cigarettes from different types of retailers throughout all five NYC boroughs, resulting in 421 purchases. Investigators noted whether they were asked for identification and the price of their purchase. Multivariable logistic and Ordinary Least Squares regression techniques were used to assess predictors of retailer compliance with sales price and minimum purchase age laws. RESULTS: In 29% of purchases, investigators did not have to produce identification (p<0.05) to purchase cigarettes. Only 3.1% of sales were at prices lower than the minimum sales price. City borough was significantly associated with purchase without identification (p<0.001) and mean sales price (p<0.024). Vendor type (independent vs chain) was significantly related to investigators being able to purchase cigarettes without identification (p<0.001). CONCLUSIONS: Variation in compliance with existing laws suggests that more active monitoring of compliance with the new minimum legal purchase age will be required in order to realise the new law's public health potential.

Over-the-counter sales of out-of-state and counterfeit tax stamp cigarettes in New York City.

BACKGROUND: New York City (NYC) has strict minimum cigarette price and tax stamp laws, but evidence regarding the extent of evasion of such laws in over-the-counter sales is scarce. METHODS: 830 packs were purchased at licensed tobacco retailers at 92 randomly selected neighbourhoods in NYC in spring and fall 2014, following the establishment of NYC's minimum price law. The χ(2) analyses of illegal tax stamps on pack, by retailer type and data collection period, are presented. RESULTS: Over 15% of packs purchased had out-of-state (4.5%) or counterfeit tax stamps (10.6%). Purchases resulted in at least one illegal pack obtained in 70% of neighbourhoods, largely from independent stores. In 21.5% of sampled neighbourhoods, it was possible to purchase an illegal pack each collection period. CONCLUSIONS: Enhanced enforcement of retail sales of cigarettes is needed to ensure the full benefit of existing tobacco control laws in NYC.

Retailer compliance with tobacco control laws in New York City before and after raising the minimum legal purchase age to 21.

OBJECTIVES: New York City (NYC) is the first large city to increase the legal minimum age for possessing tobacco products from 18 to 21 (Tobacco 21) and establish a minimum price law to reduce smoking rates among youth. However, retailer compliance with these regulations is unknown. METHODS: Youthful investigators purchased cigarettes pre and post-Tobacco 21 implementation in 92 NYC neighbourhoods. Investigators recorded whether their ID was checked, the pack's purchase price, and observed compliance with additional regulations. Multivariable OLS and Poisson regression models assess pre and post Tobacco 21 compliance with ID checks and purchase prices, controlling for retailer type, location and compliance with other laws. RESULTS: Retailer compliance with ID checks declined from 71% to 62% (p<0.004) between periods, and holding constant other factors, compliance with ID checks and sales at legal prices declined significantly after the laws changed. Compared to chain stores, independent retailers had significantly lower compliance rates (p<0.01). CONCLUSIONS: Several aspects of tobacco control appear to have deteriorated in NYC. Greater attention to monitoring retailer compliance with all tobacco regulations will be important for Tobacco 21 laws to be effective in reducing youth access to tobacco products.

Understanding Policy Diffusion in the U.S.: An Information-Theoretical Approach to Unveil Connectivity Structures in Slowly Evolving Complex Systems.

Detecting and explaining the relationships among interacting components has long been a focal point of dynamical systems research. In this paper, we extend these types of data-driven analyses to the realm of public policy, whereby individual legislative entities interact to produce changes in their legal and political environments. We focus on the U.S. public health policy landscape, whose complexity determines our capacity as a society to effectively tackle pressing health issues. It has long been thought that some U.S. states innovate and enact new policies, while others mimic successful or competing states. However, the extent to which states learn from others, and the state characteristics that lead two states to influence one another, are not fully understood. Here, we propose a model-free, information-theoretical method to measure the existence and direction of influence of one state's policy or legal activity on others. Specifically, we tailor a popular notion of causality to handle the slow time-scale of policy adoption dynamics and unravel relationships among states from their recent law enactment histories. The method is validated using surrogate data generated from a new stochastic model of policy activity. Through the analysis of real data in alcohol, driving safety, and impaired driving policy, we provide evidence for the role of geography, political ideology, risk factors, and demographic and economic indicators on a state's tendency to learn from others when shaping its approach to public health regulation. Our method offers a new model-free approach to uncover interactions and establish cause-and-effect in slowly-evolving complex dynamical systems.

Primary care performance in Dominica.

OBJECTIVE: To document the structure and functions of primary care (PC) in the country of Dominica using the Primary Care Assessment Tools (PCAT), a set of questionnaires that evaluate PC functions. METHODS: This cross-sectional study combined data from two surveys. The systems PCAT (S-PCAT) survey gathered national-level data from key informants about health system characteristics and PC performance. The provider version (P-PCAT) survey collected data on PC performance from health providers (nurses and physicians) at all PC facilities in the country. Provider-level data were aggregated to obtain national and district-level results for PC domains scored from 0.00 (worst) to 1.00 (best). RESULTS: From the systems perspective, results showed several knowledge gaps in PC policy, financing, and structure. Key informants gave “Good” (adequate) ratings for “first-contact” care (0.74), continuity of care (0.77), comprehensive care (0.70), and coordinated care (0.78); middling scores for family-centered care and community-oriented care (0.65); and low scores for access to care (0.57). PC providers assessed access to care (which included “first-contact” care, in the P-PCAT surveys) (0.84), continuity of care (0.86), information systems (0.84), family-centered care (0.92), and community-oriented care (0.85) as “Very Good”; comprehensive care as “Good” (0.79); and coordinated care as “Reasonable” (0.68). Overall, the scores for the country's health districts were good, although the ratings varied by specific PC domain. CONCLUSIONS: The assessments described here were carried out with relatively little expense and have provided important inputs into strategic planning, strategies for improving PC, and identification of priority areas for further investigation. This two-staged approach could be adapted and used in other countries.

LATIN AMERICAN RESIDENTS' SURGICAL EDUCATION AFTER THE PANDEMIC: WHAT STRATEGIES HAVE EMERGED FOR ADAPTING TO THIS NEW ERA?

BACKGROUND: The COVID-19 pandemic has had a negative effect on surgical education in Latin America, decreasing residents' surgical training and supervised clinical practice. AIMS: This study aimed to identify strategies that have been proposed or implemented to adapt surgical training and supervised clinical practice to COVID-19-related limitations in Latin America. METHOD: A literature review was performed between April and May 2021, divided into two searches. The first one sought to identify adaptation strategies in Latin America for surgical training and supervised clinical practice. The second one was carried out as a complement to identify methodologies proposed in the rest of the world. RESULTS: In the first search, 16 of 715 articles were selected. In the second one, 41 of 1,637 articles were selected. Adaptive strategies proposed in Latin America focused on videoconferencing and simulation. In the rest of the world, remote critical analysis of recorded/live surgeries, intrasurgical tele-mentoring, and surgery recording with postoperative feedback were suggested. CONCLUSIONS: Multiple adaptation strategies for surgical education during the COVID-19 pandemic have been proposed in Latin America and the rest of the world. There is an opportunity to implement new strategies in the long term for surgical training and supervised clinical practice, although more prospective studies are required to generate evidence-based recommendations.

Digital maturity and its determinants in General Practice: A cross-sectional study in 20 countries.

Background: The extent to which digital technologies are employed to promote the delivery of high-quality healthcare is known as Digital Maturity. Individual and systemic digital maturity are both necessary to ensure a successful, scalable and sustainable digital transformation in healthcare. However, digital maturity in primary care has been scarcely evaluated. Objectives: This study assessed the digital maturity in General Practice (GP) globally and evaluated its association with participants' demographic characteristics, practice characteristics and features of Electronic Health Records (EHRs) use. Methods: GPs across 20 countries completed an online questionnaire between June and September 2020. Demographic data, practice characteristics, and features of EHRs use were collected. Digital maturity was evaluated through a framework based on usage, resources and abilities (divided in this study in its collective and individual components), interoperability, general evaluation methods and impact of digital technologies. Each dimension was rated as 1 or 0. The digital maturity score was calculated as the sum of the six dimensions and ranged between 0 to 6 (maximum digital maturity). Multivariable linear regression was used to model the total score, while multivariable logistic regression was used to model the probability of meeting each dimension of the score. Results: One thousand six hundred GPs (61% female, 68% Europeans) participated. GPs had a median digital maturity of 4 (P25-P75: 3-5). Positive associations with digital maturity were found with: male gender [B = 0.18 (95% CI 0.01; 0.36)], use of EHRs for longer periods [B = 0.45 (95% CI 0.35; 0.54)] and higher frequencies of access to EHRs [B = 0.33 (95% CI 0.17; 0.48)]. Practicing in a rural setting was negatively associated with digital maturity [B = -0.25 (95%CI -0.43; -0.08)]. Usage (90%) was the most acknowledged dimension while interoperability (47%) and use of best practice general evaluation methods (28%) were the least. Shorter durations of EHRs use were negatively associated with all digital maturity dimensions (aOR from 0.09 to 0.77). Conclusion: Our study demonstrated notable factors that impact digital maturity and exposed discrepancies in digital transformation across healthcare settings. It provides guidance for policymakers to develop more efficacious interventions to hasten the digital transformation of General Practice.

General practitioners' perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study.

With the onset of COVID-19, general practitioners (GPs) and patients worldwide swiftly transitioned from face-to-face to digital remote consultations. There is a need to evaluate how this global shift has impacted patient care, healthcare providers, patient and carer experience, and health systems. We explored GPs' perspectives on the main benefits and challenges of using digital virtual care. GPs across 20 countries completed an online questionnaire between June-September 2020. GPs' perceptions of main barriers and challenges were explored using free-text questions. Thematic analysis was used to analyse the data. A total of 1,605 respondents participated in our survey. The benefits identified included reducing COVID-19 transmission risks, guaranteeing access and continuity of care, improved efficiency, faster access to care, improved convenience and communication with patients, greater work flexibility for providers, and hastening the digital transformation of primary care and accompanying legal frameworks. Main challenges included patients' preference for face-to-face consultations, digital exclusion, lack of physical examinations, clinical uncertainty, delays in diagnosis and treatment, overuse and misuse of digital virtual care, and unsuitability for certain types of consultations. Other challenges include the lack of formal guidance, higher workloads, remuneration issues, organisational culture, technical difficulties, implementation and financial issues, and regulatory weaknesses. At the frontline of care delivery, GPs can provide important insights on what worked well, why, and how during the pandemic. Lessons learned can be used to inform the adoption of improved virtual care solutions and support the long-term development of platforms that are more technologically robust and secure.

Multicomponent interventions for enhancing primary care: a systematic review.

BACKGROUND: Many countries have implemented interventions to enhance primary care to strengthen their health systems. These programmes vary widely in features included and their impact on outcomes. AIM: To identify multiple-feature interventions aimed at enhancing primary care and their effects on measures of system success - that is, population health, healthcare costs and utilisation, patient satisfaction, and provider satisfaction (quadruple-aim outcomes). DESIGN AND SETTING: Systematic review and narrative synthesis. METHOD: Electronic, manual, and grey-literature searches were performed for articles describing multicomponent primary care interventions, providing details of their innovation features, relationship to the '4Cs' (first contact, comprehensiveness, coordination, and continuity), and impact on quadruple-aim outcomes. After abstract and full-text screening, articles were selected and their quality appraised. Results were synthesised in a narrative form. RESULTS: From 37 included articles, most interventions aimed to improve access, enhance incentives for providers, provide team-based care, and introduce technologies. The most consistent improvements related to increased primary care visits and screening/preventive services, and improved patient and provider satisfaction; mixed results were found for hospital admissions, emergency department visits, and expenditures. The available data were not sufficient to link interventions, achievement of the 4Cs, and outcomes. CONCLUSION: Most analysed interventions improved some aspects of primary care while, simultaneously, producing non-statistically significant impacts, depending on the features of the interventions, the measured outcome(s), and the populations being studied. A critical research gap was revealed, namely, in terms of which intervention features to enhance primary care (alone or in combination) produce the most consistent benefits.

Revisiting the four core functions (4Cs) of primary care: operational definitions and complexities.

BACKGROUND: The four primary care (PC) core functions (the '4Cs', ie, first contact, comprehensiveness, coordination and continuity) are essential for good quality primary healthcare and their achievement leads to lower costs, less inequality and better population health. However, their broad definitions have led to variations in their assessment, in the innovations implemented to improve these functions and ultimately in their performance. OBJECTIVES: To update and operationalise the 4Cs' definitions by using a literature review and analysis of enhancement strategies, and to identify innovations that may lead to their enhancement. METHODS: Narrative, descriptive analysis of the 4Cs definitions, coming from PC international reports and organisations, to identify measurable features for each of these functions. Additionally, we performed an electronic search and analysis of enhancement strategies to improve these four Cs, to explore how the 4Cs inter-relate. RESULTS: Specific operational elements for first contact include modality of contact, and conditions for which PC should be approached; for comprehensiveness, scope of services and spectrum of population needs; for coordination, links between PC and higher levels of care and social/community-based services, and workforce managing transitions and for continuity, type, level and context of continuity. Several innovations like enrolment, digital health technologies and new or enhanced PC provider's roles, simultaneously influenced two or more of the 4Cs. CONCLUSION: Providing clear, well-defined operational elements for these 4Cs to measure their achievement and improve the way they function, and identifying the complex network of interactions among them, should contribute to the field in a way that supports efforts at practice innovation to optimise the processes and outcomes in PC.

Primary Care Networks and Starfield's 4Cs: A Case for Enhanced Chronic Disease Management.

The primary care network (PCN) was implemented as a healthcare delivery model which organises private general practitioners (GPs) into groups and furnished with a certain level of resources for chronic disease management. A secondary qualitative analysis was conducted with data from an earlier study exploring facilitators and barriers GPs enrolled in PCN's face in chronic disease management. The objective of this study is to map features of PCN to Starfield's "4Cs" framework. The "4Cs" of primary care-comprehensiveness, first contact access, coordination and continuity-offer high-quality design options for chronic disease management. Interview transcripts of GPs (n = 30) from the original study were purposefully selected. Provision of ancillary services, manpower, a chronic disease registry and extended operating hours of GP practices demonstrated PCN's empowering features that fulfil the "4Cs". On the contrary, operational challenges such as the lack of an integrated electronic medical record and disproportionate GP payment structures limit PCNs from maximising the "4Cs". However, the enabling features mentioned above outweighs the shortfalls in all important aspects of delivering optimal chronic disease care. Therefore, even though PCN is in its early stage of development, it has shown to be well poised to steer GPs towards enhanced chronic disease management.

Evaluating the Impact of COVID-19 on the Adoption of Virtual Care in General Practice in 20 Countries (inSIGHT): Protocol and Rationale Study.

BACKGROUND: In recent decades, virtual care has emerged as a promising option to support primary care delivery. However, despite the potential, adoption rates remained low. With the outbreak of COVID-19, it has suddenly been pushed to the forefront of care delivery. As we progress into the second year of the COVID-19 pandemic, there is a need and opportunity to review the impact remote care had in primary care settings and reassess its potential future role. OBJECTIVE: This study aims to explore the perspectives of general practitioners (GPs) and family doctors on the (1) use of virtual care during the COVID-19 pandemic, (2) perceived impact on quality and safety of care, and (3) essential factors for high-quality and sustainable use of virtual care in the future. METHODS: This study used an online cross-sectional questionnaire completed by GPs distributed across 20 countries. The survey was hosted in Qualtrics and distributed using email, social media, and the researchers' personal contact networks. GPs were eligible for the survey if they were working mainly in primary care during the period of the COVID-19 pandemic. Descriptive statistical analysis will be performed for quantitative variables, and relationships between the use of virtual care and perceptions on impact on quality and safety of care and participants' characteristics may be explored. Qualitative data (free-text responses) will be analyzed using framework analysis. RESULTS: Data collection took place from June 2020 to September 2020. As of this manuscript's submission, a total of 1605 GP respondents participated in the questionnaire. Further data analysis is currently ongoing. CONCLUSIONS: The study will provide a comprehensive overview of the availability of virtual care technologies, perceived impact on quality and safety of care, and essential factors for high-quality future use. In addition, a description of the underlying factors that influence this adoption and perceptions, in both individual GP and family doctor characteristics and the context in which they work, will be provided. While the COVID-19 pandemic may prove the first great stress test of the capabilities, capacity, and robustness of digital systems currently in use, remote care will likely remain an increasingly common approach in the future. There is an imperative to identify the main lessons from this unexpected transformation and use them to inform policy decisions and health service design. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/30099.