Search results

Purpose – This chapter explores the use of adaptive and disruptive change strategies to create an integrated health care delivery system that is both economically sustainable and patient-centered.

Design/methodology – This case study of Montefiore Medical Center is based on a year of research that included focus-group interviews; individual interviews with executives, frontline staff, and union leaders; site visits; analysis of internal data; and a literature review.

Findings – Montefiore Medical Center is using both adaptive and disruptive strategies to develop an integrated delivery system driven by capitated payments from health insurance companies, a focus on primary care and chronic disease management programs, and community outreach. The growth of these delivery system components in conjunction with Montefiore's Care Management Corporation (to help manage the health plan contracts) has contributed to an affordable cost of care, improved clinical outcomes, and proactive patient and community engagement.

Originality and value – There is a paucity of case studies describing how safety-net hospitals – and health systems in general – can integrate the services they provide to create a positive, seamless, and economical patient experience. The story of Montefiore Medical Center offers an overview of how health care infrastructure and payment methods can be transformed to align financial and clinical incentives and to better serve a patient population that largely depends on government health insurance.

This paper aims to enhance the current understanding of digital self-services (computerized cognitive behavioral therapy [cCBT]) and how they could be better incorporated into integrated mental health care from the physician’s perspective. Service marketing and information systems literature are combined in the context of mental health-care delivery.

An online survey of 412 Finnish physicians was undertaken to understand physicians’ acceptance of cCBT. The study applies thematic analysis and structural equation modeling to answer its research questions.

Adopting a service marketing perspective helps understand how digital self-services can be incorporated in health-care delivery. The findings suggest that value creation within this context should be seen as an intertwined process where value co-creation and self-creation should occur seamlessly at different stages. Furthermore, the usefulness of having a value self-creation supervisor was identified. These value creation logic changes should be understood and enabled to incorporate digital self-services into integrated mental health-care delivery.

Because health-care systems vary across countries, strengthening understanding through exploring different contexts is crucial.

Assistance should be provided to physicians to enable better understanding of the application and suitability of digital self-service as a treatment option (such as cCBT) within their profession. Additionally, supportive facilitating conditions should be created to incorporate them as part of integrated care chain.

Digital self-services have the potential to serve goals beyond routine activities in a health-care setting.

This study demonstrates the relevance of service theories within the health-care context and improves understanding of value creation in digital self-services. It also offers a profound depiction of the barriers to acceptance.

Individuals suffering from serious mental illness (SMI) face many challenges of navigating a complex and often fragmented health care system and may die significantly earlier from co-morbid physical health conditions. Integrating mental and physical health care for individuals with SMI is an emerging trend addressing the often-neglected physical health care needs of this population to better coordinate care and improve health outcomes.

Population Health Management (PHM) provides a useful framework for designing integrated care programs for individuals with SMI.

This paper examines the structure and evolution of the integrated care program in Missouri in the context of PHM, highlighting particular elements of PHM that facilitate and support development of an integrated mental and physical health care program.

As health care reform provides external motivation to provide integrated care, this study can be useful as other states attempt to address this important issue.

Academic healthcare systems face great challenges in coordinating services across a continuum of care that spans hospital, community providers, home and chronic care facilities. The Johns Hopkins Community Health Partnership (J-CHiP) was created to improve coordination of acute, sub-acute and ambulatory care for patients, and improve the health of high-risk patients in surrounding neighborhoods. The paper aims to discuss this issue.

J-CHiP targeted adults admitted to the Johns Hopkins Hospital and Johns Hopkins Bayview Medical Center, patients discharged to participating skilled nursing facilities (SNFs), and high-risk Medicare and Medicaid patients receiving primary care in eight nearby outpatient sites. The primary drivers of the program were redesigned acute care delivery, seamless transitions of care and deployment of community care teams.

Acute care interventions included risk screening, multidisciplinary care planning, pharmacist-driven medication management, patient/family education, communication with next provider and care coordination protocols for common conditions. Transition interventions included post-discharge health plans, hand-offs and follow-up with primary care providers, Transition Guides, a patient access line and collaboration with SNFs. Community interventions involved forming multidisciplinary care coordination teams, integrated behavioral care and new partnerships with community-based organizations.

This paper offers a detailed description of the design and implementation of a complex program to improve care coordination for high-risk patients in an urban setting. The case studies feature findings from each intervention that promoted patient engagement, strengthened collaboration with community-based organizations and improved coordination of care.

People living with opioid use disorder (OUD) disproportionately encounter the criminal justice system. Although incarcerated individuals with OUD face higher risk for withdrawals, relapses and overdoses, most jails fail to offer comprehensive medications for OUD (MOUD), including recovery support services and transition of care to a community provider. The purpose of this paper is to describe the development and implementation of a comprehensive MOUD program at a large county jail system in Maricopa County, Arizona.

The authors used the Sequential Intercept Model (SIM) to develop a community-based, multi-organizational program for incarcerated individuals with OUD. The SIM is a mapping process of the criminal justice system and was applied in Maricopa County, Arizona to identify gaps in services and strengthen resources at each key intercept. The program applies an integrated care framework that is person-centered and incorporates medical, behavioral and social services to improve population health.

Stakeholders worked collaboratively to develop a multi-point program for incarcerated individuals with OUD that includes an integrated care service with brief screening, MOUD and treatment; a residential treatment program; peer support; community provider referrals; and a court diversion program. Recovery support specialists provide education, support and care coordination between correctional and community health services.

OUD is a common problem in many correctional health centers. However, many jails do not provide a comprehensive approach to connect incarcerated individuals with OUD treatment. The Maricopa County, Arizona jail system opioid treatment program is unique because of the ongoing support from recovery support specialists during and after incarceration.

In the USA, integrated care remains largely aspirational; a majority of Americans receive mental health care entirely within the primary medical care outpatient setting. A new instrument, the Multidimensional Behavioral Health Screen (MBHS) ( McCord, 2020) was developed specifically to address this gap by systematically screening for a broad array of mental health issues in every patient, every visit. The goal of this current feasibility study was to evaluate the perceptions of the primary medical care providers regarding the usefulness and practicality of the MBHS, a necessary step toward broad-based implementation.

The MBHS was given to 101 consenting patients in a primary medical outpatient setting, each of whom was then seen by one of six participating primary care providers (PCPs). Providers completed a brief survey rating the ease of use, understandability, helpfulness and perceived accuracy of the MBHS after each patient visit and a final summary survey at the conclusion of the study.

Ratings were very positive overall, and the MBHS was clearly preferred to the traditional screening measures (Patient Health Questionnaire-9 [PHQ-9] and Generalized Anxiety Disorder-7 [GAD-7]). Providers offered suggestions for improvement and particularly for implementation.

The small sample size (101 patients and 6 PCPs) and limited geographical reach may limit generalizability. Surveying providers using similar methodology should be done with larger numbers of providers and more diverse primary medical care settings.

This study provides evidence that the MBHS may be significantly effective in operationalizing the integrated care model in United States (US) healthcare systems.

The MBHS, a new behavioral health screening tool, was perceived by providers as useful in identifying mental health issues and guiding treatment decisions in the primary care setting.

This paper identifies a novel screening instrument that implements new and emerging models of psychological dysfunction in a practical way in primary medical care, making integrated care a reality rather than an aspiration.

There is mixed evidence regarding the efficacy of low-intensity integrated care interventions in reducing the use of emergency services and costs of care. The purpose of this paper is to examine the effects of a low-intensity intervention formulated for older adults and delivered in an urban medical center serving low-income individuals.

The intervention included an initial evaluation of stress, psychiatric symptomatology and health habits; potential referrals for lifestyle management and psychiatric treatment; and training for physicians about the impact of lifestyle change in older adults. Participants included older adults (at or above 50 years of age) seen as outpatients in an urban medical center serving a low-income community (n=945). Participants were entered into the intervention at any point during this two-year period. Mixed models analyses examined all visits for all enrolled individuals over a two-year period, comparing visits before the individual received the initial intervention evaluation to those received after this evaluation. Outcomes included total health care costs incurred, average cost per visit, and emergency department (ED) usage within the facility.

The intervention was associated with reduced likelihood of emergency department use and reduced costs per visit following the intervention. These effects were seen across all participants.

Limitations of the study include the lack of control group.

This program is easy to disseminate and could improve the quality of care and costs.

This study is among the few available to document a decrease in medical costs, as well as decreased ED utilization following a low-intensity integrated care intervention.

The purpose of this paper is to report on the success of an initiative involving the transformation of a group of small substance use treatment only or mental health treatment only provider agencies serving uninsured adults into providers of co-occurring disorder treatment.

The paper uses a case study narrative to describe the initiative and the transformation of the participant agencies from being providers of mental health or substance use treatment to providers of co-occurring disorders.

Six agencies serving uninsured adults expanded their scope of patient treatment services to include the capacity to treat adults with co-occurring disorders. This was achieved with modest support funding from a local foundation. The initiative has been ongoing for five years.

The outcome of this initiative demonstrates the financial and practical feasibility of improving and expanding treatment services to low-resourced patient populations. The participating agencies were able to improve their capacity to treat patients with substance use or mental health issues that previously they were not prepared to treat and thus increased their ability to provide integrated care.

The initiative described here shows that the treatment of concomitant substance use and mental health disorders is within the range of many small-scale treatment providers, if provided the leadership and support. Delivery of effective treatments to populations experiencing co-occurring disorders that are underserved and undertreated are achievable in community-based clinical practices. This has implications for developing treatment capacity outside of hospital settings to enable treatment of co-occurring disorders to become more accessible.

Due to its ability to support well-informed decision-making, business intelligence (BI) has grown in popularity among executives across a range of industries. However, given the volume of data collected in health-care organizations, there is a lack of exploration concerning its implementation. Consequently, this research paper aims to investigate the key factors affecting the acceptance and use of BI in healthcare organizations.

Leveraging the theoretical lens of the “unified theory of acceptance and use of technology” (UTAUT), a study framework was proposed and integrated with three context-related factors, including “rational decision-making culture” (RDC), “perceived threat to professional autonomy” (PTA) and “medical–legal risk” (MLR). The variables in the study framework were categorized as follows: information systems (IS) perspective; organizational perspective; and user perspective. In Jordan, 434 healthcare professionals participated in a cross-sectional online survey that was used to collect data.

The findings of the “structural equation modeling” revealed that professionals’ behavioral intentions toward using BI systems were significantly affected by performance expectancy, social influence, facilitating conditions, MLR, RDC and PTA. Also, an insignificant effect of PTA on PE was found based on the results of statistical analysis. These variables explained 68% of the variance (R²) in the individuals’ intentions to use BI-based health-care systems.

To promote the acceptance and use of BI technology in health-care settings, developers, designers, service providers and decision-makers will find this study to have a number of practical implications. Additionally, it will support the development of effective strategies and BI-based health-care systems based on these study results, attracting the interest of many users.

To the best of the author’s knowledge, this is one of the first studies that integrates the UTAUT model with three contextual factors (RDC, PTA and MLR) in addition to examining the suggested framework in a developing nation (Jordan). This study is one of the few in which the users’ acceptance behavior of BI systems was investigated in a health-care setting. More specifically, to the best of the author’s knowledge, this is the first study that reveals the critical antecedents of individuals’ intention to accept BI for health-care purposes in the Jordanian context.

This study aims to explore the impact of spatial configuration on behavioral patterns of visitors in the ground floor of health-care spaces.

In this study, the Space Syntax analysis was used to combine visibility graph analysis and axial line analysis with empirical observation of visitors’ activities. Two types of observation methods on visitors were conducted to discover the behavioral patterns of individuals, respectively, named “gate counts” and “people following.”

The outcomes of this research revealed that the spatial arrangements of pathways, public areas, vertical circulations, entrance space, lobby, emergency department, reception desk and pharmacy have a significant influence on the way that visitors perceive the health-care environment.

The current research is limited to two aspects of effective wayfinding (configuration of health care and geometry). Future work can investigate the other potential factors coupled with the current factor as an integrated research for enhancing wayfinding and sustaining accessibility. Another limitation is that the observation results for this study had been conducted before the COVID-19 pandemic and future studies can compare these results with the current COVID-19 situation within health care environments.

A large amount of research has focused on the needs of populations in developed countries. This topic has not been investigated thoroughly by professionals in developing countries such as Iran. Accordingly, this study benefits environmental psychologists and architects by revealing the effective characteristics of legible spaces in health-care environments.