Correlated gamma-based hidden Markov model for the smart asthma management based on rescue inhaler usage.

Asthma is a very common chronic disease that affects a large portion of population in many nations. Driven by the fast development in sensor and mobile communication technology, a smart asthma management system has become available to continuously monitor the key health indicators of asthma patients. Such data provides opportunities for healthcare practitioners to examine patients not only in the clinic (on-site) but also outside of the clinic (off-site) in their daily life. In this paper, taking advantage from this data availability, we propose a correlated gamma-based hidden Markov model framework, which can reveal and highlight useful information from the rescue inhaler-usage profiles of individual patients for practitioners. The proposed method can provide diagnostic information about the asthma control status of individual patients and can help practitioners to make more informed therapeutic decisions accordingly. The proposed method is validated through both numerical study and case study based on real world data. Copyright © 2017 John Wiley & Sons, Ltd.

Informatics to support the IOM social and behavioral domains and measures.

Consistent collection and use of social and behavioral determinants of health can improve clinical care, prevention and general health, patient satisfaction, research, and public health. A recent Institute of Medicine committee defined a panel of 11 domains and 12 measures to be included in electronic health records. Incorporating the panel into practice creates a number of informatics research opportunities as well as challenges. The informatics issues revolve around standardization, efficient collection and review, decision support, and support for research. The informatics community can aid the effort by simultaneously optimizing the collection of the selected measures while also partnering with social science researchers to develop and validate new sources of information about social and behavioral determinants of health.

Patient-centered care requires a patient-oriented workflow model.

Effective design of health information technology (HIT) for patient-centered care requires consideration of workflow from the patient's perspective, termed 'patient-oriented workflow.' This approach organizes the building blocks of work around the patients who are moving through the care system. Patient-oriented workflow complements the more familiar clinician-oriented workflow approaches, and offers several advantages, including the ability to capture simultaneous, cooperative work, which is essential in care delivery. Patient-oriented workflow models can also provide an understanding of healthcare work taking place in various formal and informal health settings in an integrated manner. We present two cases demonstrating the potential value of patient-oriented workflow models. Significant theoretical, methodological, and practical challenges must be met to ensure adoption of patient-oriented workflow models. Patient-oriented workflow models define meaningful system boundaries and can lead to HIT implementations that are more consistent with cooperative work and its emergent features.

Optimizing financial effects of HIE: a multi-party linear programming approach.

OBJECTIVE: To describe an analytical framework for quantifying the societal savings and financial consequences of a health information exchange (HIE), and to demonstrate its use in designing pricing policies for sustainable HIEs. MATERIALS AND METHODS: We developed a linear programming model to (1) quantify the financial worth of HIE information to each of its participating institutions and (2) evaluate three HIE pricing policies: fixed-rate annual, charge per visit, and charge per look-up. We considered three desired outcomes of HIE-related emergency care (modeled as parameters): preventing unrequired hospitalizations, reducing duplicate tests, and avoiding emergency department (ED) visits. We applied this framework to 4639 ED encounters over a 12-month period in three large EDs in Milwaukee, Wisconsin, using Medicare/Medicaid claims data, public reports of hospital admissions, published payer mix data, and use data from a not-for-profit regional HIE. RESULTS: For this HIE, data accesses produced net financial gains for all providers and payers. Gains, due to HIE, were more significant for providers with more health maintenance organizations patients. Reducing unrequired hospitalizations and avoiding repeat ED visits were responsible for more than 70% of the savings. The results showed that fixed annual subscriptions can sustain this HIE, while ensuring financial gains to all participants. Sensitivity analysis revealed that the results were robust to uncertainties in modeling parameters. DISCUSSION: Our specific HIE pricing recommendations depend on the unique characteristics of this study population. However, our main contribution is the modeling approach, which is broadly applicable to other populations.

Crying wolf: Consumers may be more willing to share medication information than policymakers think.

Current health IT policy directions assume lay people want to make explicit choices about who can access elements of their health information. To test this assumption, we presented lay people (N=31) with a decision scenario that required them to choose whether to share their medication information with three different types of physicians. Participants generally chose to share all of their medication information, citing anticipated clinical care benefits as the main reason for their choices. They seemed, however, unaware of the possible consequences of their choices.

Creating operations research models to guide RHIO decision making.

Eight years of progress towards the creation of a national health information network has resulted in a plethora of health data exchange relationships, most commonly called regional health information organizations (RHIOs). Various network types reflect both governance decisions and practical aspects, such as the need for a variety of information sharing pathways between and among organizations. Applying systematic business planning approaches will help ensure that decisions about structure, governance, pricing and incentive lead to RHIO arrangements that meet both the RHIOs' and the participants' business goals. This paper describes the model formulation stage of an ongoing project that applies operations research methods to RHIO participation decisions.

Photographic data--An untapped resource to explore complex phenomena such as health information management in the household (HIMH).

Exploring the context of use for informatics tools and applications can provide insight into requirements for their design. Historically, photographs have been used by social scientists as a way to study context in complex environments. Using data collected in the study "Advanced technologies for Health@Home" we share how photographs can be used to understand one such complex environment where informatics tools appear, the household. By capture, categorization, analysis and interpretation of photographs, we developed a richer understanding of information artifacts and the context of these artifacts used to support health information management in the household (HIMH). Photographs are an underused data source. Appropriately used, photographs can aid in the development of informatics resources that align with and extend current practices of health information management in the household (HIMH). Their use should be investigated further concerning other complex environments within nursing informatics.

Perceived health status and health-promoting behaviors of African-American and White informal caregivers of impaired elders.

Caregiving and its consequences are major concerns for nurses. Many studies have examined health-promoting behaviors in general (Duffy, 1993; Walker, Volkan, Sechrist, & Pender, 1988), but few studies have explored health-promoting behaviors of caregivers. The purpose of this study was to examine the effects of age, gender, race, and length of caregiving on perceived health status and health-promoting behaviors of African-American and White informal caregivers of impaired elders. Data from a larger study was used to examine a conceptual model linking perceived health status and health-promoting behavior. A sample of 136 (n = 136) African-American and 257 (n = 257) White caregivers was recruited from northeastern Ohio through random digit dialing and interviewed face to face. English-speaking caregivers were selected for study who provided unpaid assistance or care for a minimum of five hours a week to an impaired person 60 years of age or older living in the community. The Health-Promoting Behavior Questionnaire, perceived health status, and a demographic profile were used to measure the study variables. Data were analyzed using hierarchical multiple regression. Findings from this study suggest that the overall fit of the conceptual model was significant, and that moreover, the relationship found between perceived health status and health-promoting behaviors supported Pender's model of health promotion (Pender, 1987). The relationship between perceived health status and health-promoting behaviors has not been documented in prior studies of caregivers, or in studies comparing the two racial groups of African-Americans and Whites.

Health@Home: the work of health information management in the household (HIMH): implications for consumer health informatics (CHI) innovations.

OBJECTIVE: Contemporary health care places enormous health information management demands on laypeople. Insights into their skills and habits complements current developments in consumer health innovations, including personal health records. Using a five-element human factors model of work, health information management in the household (HIMH) is characterized by the tasks completed by individuals within household organizations, using certain tools and technologies in a given physical environment. DESIGN: We conducted a descriptive-exploratory study of the work of HIMH, involving 49 community-dwelling volunteers from a rural Midwestern community. MEASUREMENTS: During in-person interviews, we collected data using semistructured questionnaires and photographs of artifacts used for HIMH. RESULTS: The work of HIMH is largely the responsibility of a single individual, primarily engaged in the tasks of acquiring, managing, and organizing a diverse set of health information. Paper-based tools are most common, and residents develop strategies for storing information in the household environment aligned with anticipated use. Affiliative relationships, e.g., parent-child or spousal, within the household serve as the organization that gives rise to health information management practices. Synthesis of these findings led to identification of several storage strategies employed in HIMH. These strategies are labeled "just-in-time," "just-because," "just-in-case," and "just-at-hand," reflecting location of the artifacts of health information and anticipated urgency in the need to retrieve it. CONCLUSION: Laypeople develop and employ robust, complex strategies for managing health information in the home. Capitalizing on these strategies will complement and extend current consumer health innovations to provide functional support to people who face increasing demands to manage personal health information.

Modeling participation in the NHII: operations research approach.

Regional health information organizations (RHIOs) form the core building blocks of any approach to creating the National Health Information Infrastructure. RHIOs are computer-supported information sharing alliances composed of health care institutions that need to exchange clinical, financial or administrative data. Many uncertainties, including institution conversion costs, price-to-participate, and RHIO governance decisions make estimating the cost consequences difficult to establish. Current approaches to health information technology investment rely on a net-present-value analysis, which is inadequate to capture the dynamic, uncertain course likely to occur in the RHIO environment. Methods from operations research provide decision makers robust tools for exploring the cost and consequences of RHIO structures. We present here an initial modeling approach that allows explicit examination of RHIO structure and pricing options. Once refined, these models will provide the core of a suite of decision support tools for evaluation of RHIO pricing options, discount rates, and optimal organizational structures.

What are pregnant women's information needs and information seeking behaviors prior to their prenatal genetic counseling?

As a result of the Human Genome Project, more genetic diagnostic tests have become available to the public and genetic-related information has also grown exponentially. Pregnant women are now routinely offered tests for chromosomal disorders and screenings for genetic conditions that are relevant to their situations. In order to facilitate the information system (IS) development to support their informed decision-making, it is imperative for the IS designer to recognize their unique information needs and patterns of information seeking behavior (ISB) first. This paper presents results of a pilot study that examined pregnant women's information needs, ISBs, and information resources used prior to their prenatal genetic counseling. Findings suggest three distinctive areas, content, format, and timing, for IS design considerations.

Health information exchange networks: understanding stakeholder views.

As the National Health Information Infrastructure (NHII) gains momentum, regional health information exchange networks are developing as a means to support this structure. While successful networks exist, their sustainability is complicated by the existence of multiple stakeholders with differing incentives for participation. Interviews conducted regarding the development of the NMESH network produced several key areas of stakeholder focus, an important step in creating network sustainability.

A consensus action agenda for achieving the national health information infrastructure.

BACKGROUND: Improving the safety, quality, and efficiency of health care will require immediate and ubiquitous access to complete patient information and decision support provided through a National Health Information Infrastructure (NHII). METHODS: To help define the action steps needed to achieve an NHII, the U.S. Department of Health and Human Services sponsored a national consensus conference in July 2003. RESULTS: Attendees favored a public-private coordination group to guide NHII activities, provide education, share resources, and monitor relevant metrics to mark progress. They identified financial incentives, health information standards, and overcoming a few important legal obstacles as key NHII enablers. Community and regional implementation projects, including consumer access to a personal health record, were seen as necessary to demonstrate comprehensive functional systems that can serve as models for the entire nation. Finally, the participants identified the need for increased funding for research on the impact of health information technology on patient safety and quality of care. Individuals, organizations, and federal agencies are using these consensus recommendations to guide NHII efforts.

A model for economic analysis.

The production process model is proposed as a way to guide economic evaluation of health care projects, programs, technology, or research. The model is illustrated with data from the development of a home care computer intervention.