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Patient-centric exchanges, a major type of Health Information Exchange (HIE), empower patients to aggregate and manage their health information. This exchange model helps patients access, modify and share their medical information with multiple healthcare organizations. Although existing studies examine patient engagement, more research is required to investigate patients' attitudes and willingness to play an active role in patient-centered information exchange. The study's main objective is to develop a model based on the belief-attitude-intention paradigm to empirically examine the effects of patients' attitudes toward engagement in care on their willingness to participate in patient-centric HIE.

The authors conducted an online survey study to identify the antecedents and consequences of patients' attitudes toward engagement in care. To empirically test the research model, the authors collected data from a national sample (n = 357) of individuals in the United States. The data were analyzed using structural equation modeling (SEM).

The proposed model categorizes the antecedents to patients' attitudes toward engagement in patient-related and healthcare system factors. The results show that patient-related factors (perceived health literacy and perceived coping ability) and health system factors (perceived experience with the healthcare organization and perceived patient-provider interaction) significantly shape patient attitude toward care management engagement. The results indicate that patients' attitudes toward engaging in their healthcare significantly contribute to their willingness to participate in medical information sharing through patient-centric HIE initiatives. Moreover, the authors’ findings also demonstrate that the link between patient engagement and willingness to participate in HIE is stronger for individuals who perceive lower levels of privacy and security concerns.

The authors validate the proposed model explaining patients' perceptions about their characteristics and the healthcare system significantly influence their attitude toward engaging in their care. This study also suggests that patients' favorable attitude toward engagement can bring patient-centric HIE efforts onto a path to success. The authors’ research attempts to shed light on the importance of patients' roles in adopting patient-centric HIE initiatives. Theoretical and practical contributions of this study are noticeable since they could result in a deeper understanding of the concept of patient engagement and how it may affect healthcare services in an evolving digital world. The authors’ findings can help healthcare organizations provide public citizen-centric services by introducing user-oriented approaches in healthcare delivery systems.

The fundamental concern of this research study is to learn the quality and efficiency of US healthcare services. It seeks to examine the impact of quality and efficiency on various stakeholders to achieve the best value for each dollar spent for healthcare. The study aims to offer insights on quality reformation efforts, contemporary healthcare policy and a forthcoming change shaped by the Federal healthcare fiscal policy and to recommend the improvement objective by comparing the US healthcare system with those of other developed nations.

The US healthcare system is examined utilizing various data on recent trends in: spending, budgetary implications, economic indicators, i.e. GDP, inflation, wage and population growth. Process maps, cause and effect diagrams and descriptive data statistics are utilized to understand the various drivers that influence the rising healthcare cost. A proposed cause and effect diagram is presented to offer potential solutions, for significant improvement in US healthcare.

At present, the US healthcare system is of vital interest to the nation's economy and government policy (spending). The US healthcare system is characterized as the world's most expensive yet least effective compared with other nations. Growing healthcare costs have made millions of citizens vulnerable. Major drivers of the healthcare costs are institutionalized medical practices and reimbursement policies, technology‐induced costs and consumer behavior.

Reviewing many articles, congressional reports, internet websites and related material, a simplified process map of the US healthcare system is presented. The financial process map is also created to further understand the overall process that connects the stakeholders in the healthcare system. Factors impacting healthcare are presented by a cause and effect diagram to further simplify the complexities of healthcare. This tool can also be used as a guide to improve efficiency by removing the “waste” from the system. Trend analyses are presented that display the crucial relationship between economic growth and healthcare spending.

There are many articles and reports published on the US healthcare system. However, very few articles have explored, in a comprehensive manner, the links between the economic indicators and measures of the healthcare system and how to reform this system. As a result of the US healthcare system's complex structure, process map and cause‐effect diagrams are utilized to simplify, address and understand. This study linked top‐level factors, i.e. the societal, government policies, healthcare system comparison, potential reformation solutions and the enormity of the recent trends by presenting serious issues associated with US healthcare.

The 30 MOCHA (Models of Child Health Appraised) countries are diverse socially, culturally and economically, and differences exist in their healthcare systems and in the scope and role of primary care. An economic analysis was undertaken that sought to explain differences in child health outcomes between countries. The conceptual framework was that of a production function for health, whereby health outputs (or outcomes) are assumed affected by several ‘inputs’. In the case of health, inputs include personal (genes, health behaviours) and socio-economic (income, living standards) factors and the structure, organisation and workforce of the healthcare system. Random effects regression modelling was used, based on countries as the unit of analysis, with data from 2004 to 2016 from international sources and published categorisations of healthcare system. The chapter describes the data deficiencies and measurement conundrums faced, and how these were addressed. In the absence of consistent indicators of child health outcomes across countries, five mortality measures were used: neonatal, infant, under five years, diabetes (0–19 years) and epilepsy (0–19 years). Factors found associated with reductions in mortality were as follows: gross domestic product per capita growth (neonatal, infant, under five years), higher density of paediatricians (neonatal, infant, under five years), less out-of-pocket expenditure (neonatal, diabetes 0–19), state-based service provision (epilepsy 0–19) and lower proportions of children in the population, a proxy for family size (all outcomes). Findings should be interpreted with caution due to the ecological nature of the analysis and the limitations presented by the data and measures employed.

The COVID-19 pandemic, and the responses to it that were required from frontline healthcare providers and others working in healthcare settings including environmental, clerical, and security staff, has challenged our healthcare systems in unprecedented ways. The threats to the financial, physical, and psychological well-being of healthcare professionals – many of whom entered the field due at least in part to a deep commitment to caring for and helping others – will have profound and long-lasting personal and professional impacts. Early in the pandemic response, healthcare professionals knew little about the risks they, their patients, and their loved ones faced from COVID-19 as they operated under crisis standards of care and without adequate supplies of personal protective equipment. As the pandemic response progressed, the lack of clear, science-based guidance, and the politicization of the pandemic presented new medical, ethical, and moral dilemmas. New psychological support mechanisms, including crisis counseling and evidence-based interventions, are needed for all workers in healthcare settings, regardless of their job role.

Over the past two decades, Community-Based Health Planning and Services (CHPS) has been a pragmatic strategy towards universal Primary Health Care (PHC) in Ghana. However, the ability and capacity of these facilities to deliver quality primary health care remain an illusion as they are still crumbling in myriad challenges. These challenges are translated to the poor-quality services provision and low community utilization of CHPS facilities. The study presents a comparative analysis of three communities in the Kassena-Nankana East Municipality, Ghana.

Using a mixed-method research design, the study gathered and analysed data from 110 households, three community health officers (CHOs) and three community leaders using semi-structured questionnaires and interview guides.

The findings indicated that the facilities do not have the requisite inputs such as drugs and supplies, logistics, appropriate health personnel, good infrastructure, funding support necessary to deliver quality and appropriate healthcare services that meet the health needs of the communities. For the CHPS to realize their full potentials as PHC facilities, it is required that the needed inputs such as logistics, drugs and appropriate staff are in place to facilitate the activities of CHOs.

Due to the limited number of participants and selection of the study communities, the results may generalization. Also, the researchers acknowledged the inability to interview the district level health officials and the Kassena-Nankana Municipal Assembly during the field visits. This could have provided in-depth knowledge on the findings of this research as well as the validation of the results from the communities' perspective. Several attempts were made to contact and interview district-level authorities which proven futile due to the unavailability of targeted respondents. This resulted in limiting the studies at the community level. However, this limitation does not disprove the findings of this study.

The article implications for planning primary health care strategies include a keen assessment of community health needs and institutional management of primary health care facilities, equip PHC facilities with adequate resources such as drugs and appropriate staffing to provide the health needs of the communities.

The paper fulfils the gap in the literature by providing empirical data on how the challenges of primary health care facilities affected the provision of high quality service and how this can affect community’s use of the facilities.

The purpose of this paper is to undertake an examination of the Local Health Integration Network (LHIN) Health Policy proposal. This policy established a decentralized approach to health system management in the province of Ontario, Canada by creating 14 crown agencies, LHINs.

This policy is examined against the five policy stages of the Stages Model: agenda setting, formulation, legitimation, implementation and evaluation. The examination was based on a review of grey literature, including key government reports and briefs.

This policy did not follow the Stages Model sequentially: the policy was implemented while it was still undergoing its legitimacy phase. Formal reviews were undertaken following implementation and found areas for improvement: poor integration amongst all the LHINs; poor patient navigation persists; LHINs lack the capacity and competency to engage in regional capacity planning; and planning and integration is not centered around patient needs. As a result, a decade after the introduction of LHINs, the Ontario HealthCare System has not achieved systems improvement when measured against accepted government indicators of performance.

This integration policy highlights the context and evolution of Ontario’s healthcare system governance in the past decade and contributes to the body of knowledge on the impact of regionalization on health systems and patient care.

The study aims to summarise the literature on cancer care pathways at the diagnostic and treatment phases. The objectives are to find factors influencing the delivery of cancer care pathways; to highlight any interrelating factors; to find gaps in the literature concerning areas of research; to summarise the strategies and recommendations implemented in the studies.

The study used a qualitative approach and developed a causal loop diagram to summarise the current literature on cancer care pathways, from screening and diagnosis to treatment. A total of 46 papers was finally included in the analysis, which highlights the recurring themes in the literature.

The study highlights the myriad areas of research applied to cancer care pathways. Factors influencing the delivery of cancer care pathways were classified into different albeit interrelated themes. These include access barriers to care, hospital emergency admissions, fast track diagnostics, delay in diagnosis, waiting time to treatment and strategies to increase system efficiency.

As far as the authors know, this is the first study to present a visual representation of the complex relationship between factors influencing the delivery of cancer care pathways.

First, the key vulnerability factors from the literature are identified. Second, using the vulnerability factors as indicators, a composite index is developed. Last, from the index values, a set of vulnerability knowledge maps, showing the vulnerability hotspots, are prepared.

This study aims to develop a pandemic vulnerability knowledge visualisation index to support the strategic decision-making efforts of authorities.

Ten indicators are identified as vulnerability factors that could significantly impact the virus spread risks. Verifying the identified hotspots against the recorded infected cases and deaths has evidenced the usefulness of the index. Determining and visualising the high-vulnerability locations and communities could help in informed strategic decision-making and responses of the authorities to the pandemic.

The study demonstrates that the developed pandemic vulnerability knowledge visualisation index is particularly appropriate in the context of Australia. Nonetheless, by replicating the methodologic steps of the study, customised versions can be developed for other country contexts.