Publications by authors named "Geronimo Jimenez"

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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Background: Despite digital health providing opportunities to enhance the quality, efficiency and safety of primary healthcare, the adoption of digital tools and technologies has been slow, partly because of poor digital health literacy. For primary healthcare systems to take full advantage of these technologies, a capable, digitally literate workforce is necessary. Still, the essential digital health competencies (DHCs) for primary healthcare have not been explored.

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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.

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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.

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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.

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This study characterizes the proportion of apps available in 2018 for self-management of type 2 diabetes that included goal-setting features, reminders to measure blood glucose, hypoglycemia and hyperglycemia alerts, and action prompts.

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Background: The availability of smartphone health apps empowers people to manage their own health. Currently, there are over 300,000 health apps available in the market targeting a variety of user needs from weight loss to management of chronic conditions, with diabetes being the most commonly targeted condition. To date, health apps largely fall outside government regulation, and there are no official guidelines to help clinicians and patients in app selection.

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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.

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Background: Advance care planning (ACP) involves important decision making about future medical needs. The high-volume and disparate nature of ACP research makes it difficult to grasp the evidence and derive clear policy lessons for policymakers and clinicians.

Aim: The aim of this study was to synthesize ACP research evidence and identify relevant contextual elements, program features, implementation principles, and impacted outcomes to inform policy and practice.

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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.

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The rapid demographic and epidemiological transitions occurring in Latin America and the Caribbean have led to high levels of noncommunicable diseases in the region. In addition to reduced risk factors for chronic conditions, a strong health system for managing chronic conditions is vital. This study assessed the extent to which populations in six Latin American and Caribbean countries receive high-quality primary care, and it examined the relationship between experiences with care and perceptions of health system performance.

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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.

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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.

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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.

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This study uses data from a nationally representative household survey (the 2013 National Health Survey, n = 62,986) to describe patterns of alcohol consumption and related behaviors among Brazilian adults. Analyses include descriptive and multivariable Poisson regression for self-reports in the past 30 days of: drinking any alcohol, binge drinking, binge drinking 4 or more times, and driving after drinking (DD); as well as age of alcohol consumption initiation. Results show that current drinking prevalence was 26%, with an average age of initiation of 18.

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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.

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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.

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