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The purpose of this paper is to identify how need for service, enabling factors and pre-disposing characteristics influences access to service. In addition, the authors seek to examine the moderating influence of pre-disposing variables on the relationship between insurance and health services utilization.

The authors utilize data from a major metropolitan hospital in the USA to test and extend the behavioral model of health care.

Results indicate that insurance and pre-disposing variables have a direct impact on type of health service utilization. However, the insurance effect is found to vary by demographic factors.

This paper is limited to secondary data. Future work can incorporate both attitudinal and behavioral measures to obtain a more comprehensive evaluation of services access.

The research offers a tactical framework for management to segment consumer markets more effectively.

Through the framework, management will have the requisite knowledge to target segmented populations based on need, insurance, and pre-disposing variables which will help improve access to services and clinical outcome.

The findings of this paper will serve as a basis for future research exploring the influence of insurance on access to services.

The Models of Child Health Appraised (MOCHA) project identified the different models of primary care that exist for children, examined the particular attributes that might be different from those directed at adults and considered how these models might be appraised. The project took the multiple and interrelated dimensions of primary care and simplified them into a conceptual framework for appraisal. A general description of the models in existence in all 30 countries of the EU and EEA countries, focusing on lead practitioner, financial and regulatory and service provision classifications, was created. We then used the WHO ‘building blocks’ for high-performing health systems as a starting point for identifying a good system for children. The building blocks encompass safe and good quality services from an educated and empowered workforce, providing good data systems, access to all necessary medical products, prevention and treatments, and a service that is adequately financed and well led. An extensive search of the literature failed to identify a suitable appraisal framework for MOCHA, because none of the frameworks focused on child primary care in its own right. This led the research team to devise an alternative conceptualisation, at the heart of which is the core theme of child centricity and ecology, and the need to focus on delivery to the child through the life course. The MOCHA model also focuses on the primary care team and the societal and environmental context of the primary care system.

While there is established research that explores individual innovations across countries or developments in a specific health area, there is less work that attempts to match national innovations to specific systems of health governance to uncover themes across nations.

We used a cross-comparison design that employed content analysis of health governance models and innovation patterns in eight OECD nations (Australia, Britain, Canada, France, Germany, the Netherlands, Switzerland, and the United States).

Country-level model of health governance may impact the focus of health innovation within the eight jurisdictions studied. Innovation across all governance models has targeted consumer engagement in health systems, the integration of health services across the continuum of care, access to care in the community, and financial models that drive competition.

Improving our understanding of the linkage between health governance and innovation in health systems may heighten awareness of potential enablers and barriers to innovation success.

Since health behaviors of elderly Asian Americans are often underreported, the study, based on the health behavioral model (Andersen’s model), was to examine if there is a reciprocal relationship between healthcare utilization and health outcomes, and how social characteristics play their role in this relationship between US-born and foreign-born elderly Asian Americans.

Using structural equation modeling, this research examined the proposed hypotheses which consisted of direct and indirect effects among health outcomes, healthcare utilization and social characteristics, as well as the disparities of the effects between US-born and foreign-born elderly Asian Americans (65 + ). A sample size of elderly Asian Americans was divided into a US-born group (N = 1,305) and a foreign-born group (N = 4,902) from the National Health Interview Survey (NHIS) 1998–2012. Health outcomes consisted of current health status and health change. Healthcare utilization included general doctor visit, ER, and mental health professional visit. Social characteristics of population included predisposing characteristics (such as age, sex, marital status, and region of residency) and enabling resources (such as education, family size, and family income).

Results from the study indicated that first, there was a reciprocal relationship between health outcomes and healthcare utilization for both groups. Second, predisposing characteristics had a direct effect on health outcomes, and enabling resources had an indirect effect on health outcomes via healthcare utilization. In addition, living in the West had both direct and indirect effects on health outcomes. Third, regarding disparities of the effects between both groups, the US-born elderly are more likely to attain health benefits from healthcare utilization and their social characteristics than the foreign-born. As a result, the interactive relationship between health outcomes, healthcare utilization, and social characteristics, as well as disparities of healthcare outcomes through health utilization and social characteristics for elderly Asian Americans is highlighted.

First, due to the design of NHIS, this research was limited to fully present the needs and more characteristics of elderly Asian Americans. This shows the great need for a large scale, representative study for health behaviors of elderly Asian Americans. Second, in the dataset, the study was limited to explore health behaviors of elderly Asian Americans into each Asian ethnic subgroup. Since the culture of Asian Americans is heterogeneous, it is recommended that future research can explore differences and commonalities of the health behaviors between Asian subgroups. Third, based on the health behavioral model and the design of the dataset, this study was limited to illustrate variations of life experiences between both groups. These differences regarding their needs and desires for healthcare services and health outcomes can become an important foundation for service providers and policy makers to provide appropriate services that improve the quality of the later lives of elderly Asian Americans.

First, the study applied the health behavioral model and proved that the effect of healthcare utilization and social characteristics on health outcomes is greater for the US-born elderly Asian Americans than for the foreign-born. Second, this study confirmed that the healthcare services in US society are still beneficial for the health outcomes of elderly Asian Americans. Third, the study found that when family is used to explain the social behaviors of elderly Asian Americans, researchers need to be more careful to identify various family factors in accordance to its dynamics, such as interpersonal relationship, material supply, and emotional support.

This paper aims to focus on the role of hospital business models by examining the innovative business model of Moheb Hospitals, which have successfully achieved the goal of reducing costs and delivering high-quality health-care services in Iran by encouraging public–private partnership.

This paper is a single case study.

The study results illustrate the hospital’s current business model and its underlying elements. After presenting the findings, this paper is concluded by presenting the standing issues that should also be addressed and how improvements and adjustments can be made.

This study offers new insight to identify and analyze the shortcomings of health-care sector in Iran and introduces new methods to efficiently use current competencies.

m-health services for different age groups are becoming an emerging field in the health-care industry, especially in low-resource environments such as developing countries such as Bangladesh. Hence, this study’s primary aim is to identify the factors that influence the middle-aged and elderly’s intention to use m-health services.

This study applied the extended version of the unified theory of acceptance and use of technology to explore middle-aged and elderly’s intention to use m-health services. There were 235 respondents, of which 123 (52.34%) were in the middle-aged group, whereas 112 (47.66%) were in the older group. Both groups were found to have more male participants than female participants. The partial least square (PLS) method was used to analyze data.

The study found that performance expectancy, effort expectancy, facilitating condition, technological anxiety and resistance to change (p < 0.05) had a significant influence on middle-aged intention to use m-health services. Social influence and perceived physical condition (p > 0.05) had no significant effect on middle-aged intention to use m-health services. On the other hand, performance expectancy, effort expectancy, facilitating condition and resistance to change (p <* 0.05) significantly influenced the elderly’s intention to use m-health services. However, the social impact of perceived physical condition and technological anxiety (p > 0.05) had no significant effect on the elderly’s intention to use m-health services.

A good number of studies are available in the current literature, examining the factors adoption of m-health services in both developed and developing economy context. However, very few studies examine the factors that influence behavioral intention to use m-health services concerning the two different age groups, such as middle-aged and elderly. Moreover, to the best of the authors’ knowledge, there is a shortage of literature on this topic built on the comparative analysis between the two age groups.

This study aims to highlight the processes that private organisations implement to improve access to health care services for low-income communities in Brazil.

A qualitative research based on a comparative case study was conducted in São Paulo. A for-profit organisation and a not-for-profit one were compared to scrutinise how they adapt themselves to the social context they are embedded in; while improving their service accessibility.

Both kinds of organisations have succeeded to reach their goal of improving the access and reducing the time frame of health care services to low-income populations. Their initial business model (BM) makes them face their own challenges that they face with different strategies. It affects their way of communicating, their organisational culture, the patients’ expectations and their level of inclusiveness.

The research is context-dependent because of the specific conditions of the health public system in Brazil. When shaping health care BMs, the national context must be taken into account and the service marketing components should be used to enhance patients’ value co-creation in the health care service delivery process.

The research gives insights to organisations that seek to adapt their BM to improve health-care access to low-income populations.

Health-care access plays a key role in improving populations’ living conditions and reach one of the sustainable development goals of the United Nation.

Health care services access at the bottom of the pyramid remains under-studied. The paper brings value by comparing for-profit and non-profit organisations, which have the same social goal of improving health-care access to low-income populations while developing different practices to deal with their own challenges.

Understanding the determinants of health services use is essential for planning for effective services, particularly health care policies in a newly independent state, the Republic of Kazakhstan. The main purpose of this study is to examine the relative importance of social capital factors in affecting the variation in health status and use of health services, using structural equation modeling. The results show that health status is a strong predictor of health services use when the effect of social capital is held constant; and that social capital is directly linked with health status.

The purpose of this paper is to explore the mobile health adoption behaviour of potential adopters and to provide guidelines for mobile health success. This study applied both health behaviour and consumer value research and developed an integrated research model to encourage mobile health adoption.

The authors contacted about 1,800 potential respondents living in Seoul, Korea. The authors used stratified sampling to choose sampling areas and quota sampling to select the final sampling unit. A total of 550 interviews were conducted, and the data were analysed using a structural equation modelling technique with linear structural relations.

The results demonstrate that usefulness, convenience and monetary values of mobile health positively influence adoption intention. Convenience and monetary values are strongly perceived by individuals who have experienced illness, but the effect of illness experiences on the usefulness value is insignificant. Gender, age and income do not influence adoption intention.

There is no research yet studies mobile health adoption behaviour in the integrated view of consumer value and the health service research. This integrated adoption model of mobile health can be a response of the calls to develop the mobile health adoption model adapted to the health context and to identify added predictors of the mobile health adoption.

The purpose of this paper is to demonstrate how public health and systems science methods can be combined to examine the structure and behavior of Afghanistan’s routine childhood immunization system to identify the pathways through which health system readiness to deliver vaccination services may extend beyond immunization outcomes.

Using findings from an ecological study of Afghanistan’s immunization system and a literature review on immunization program delivery, the routine immunization system was mapped using causal loop diagrams. Next, a stock-and-flow diagram was developed and translated to a system dynamics (SD) model for a system-confirmatory exercise. Data are from annual health facility assessments and two cross-sectional household surveys. SD model results were compared with measured readiness and service outcomes to confirm system structure.

Readiness and demand-side components were associated with improved immunization coverage. The routine immunization system was mapped using four interlinking readiness subsystems. In the SD model, health worker capacity and demand-side factors significantly affected maternal health service coverage. System readiness components affected their future measures mostly negatively, which may indicate that the reinforcing feedback drives current system-structured behavior.

The models developed herein are useful to explore the potential impact of candidate interventions on service outcomes. This paper documents the process through which public health and systems investigators can collaboratively develop models that represent the feedback-driven behavior of health systems. Such models allow for more realistically addressing health policy and systems-level research questions.