Depression, anxiety, and substance misuse and abuse

Chronic Care Nursing: A Framework for Practice provides a comprehensive and accessible overview of the role of the nurse in dealing with chronic conditions across a variety of healthcare settings in Australia and New Zealand. The first part of the book provides a road map for the implementation of chronic care, by outlining how two essential approaches to chronic care management - the Chronic Care Model and the World Health Organization's Innovative Care for Chronic Conditions Framework - can help to improve patient outcomes at both national and international levels. The second part devotes separate chapters to key conditions - including dementia, disability, palliative care and mental health - and highlights the pressing contemporary considerations of each condition. Written by an expert author team of clinicians and academics, this book is full of helpful educational tools such as national competencies, case studies and reflective questions, and is an indispensable resource for students and registered nurses.

In 2004, the American Academy of Pediatrics (AAP) Board of Directors formed the Task Force on Mental Health and charged it with developing strategies to improve the quality of child and adolescent mental health* services in primary care. The task force acknowledged early in its deliberations that enhancing the mental health care that pediatricians and other primary care clinicians† provide to children and adolescents will require systemic interventions at the national, state, and community levels to improve the financing of mental health care and access to mental health specialty resources. Systemic strategies toward achieving these improvements are the subject of other publications of the task force: “ Strategies for System Change in Children's Mental Health: A Chapter Action Kit ” (chapter action kit),1 “Improving Mental Health Services in Primary Care: Reducing Administrative and Financial Barriers to Access and Collaboration,”2 and “Enhancing Pediatric Mental Health Care: Strategies for Preparing a Community.”3 The task force also recognized that enhanced mental health practice will require competencies not currently achieved by many primary care clinicians; in the policy statement “The Future of Pediatrics: Mental Health Competencies for Pediatric Primary Care,”4 the task force collaborated with the AAP Committee on Psychosocial Aspects of Child and Family Health to outline these competencies and propose strategies for achieving them. This report offers strategies for preparing the primary care practice itself for provision of enhanced mental health care services. The task force proposes incrementally applying chronic care principles to the care of children with mental health and substance abuse problems as primary care clinicians apply them to the care of children with chronic medical conditions such as asthma. Most primary care clinicians will find that significant gaps exist between their current practice and the proposed ideal. The task force offers guidance in … Address correspondence to Jane Meschan Foy, MD, Department of Pediatrics, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157. E-mail: jmfoy{at}wfubmc.edu

Improving Medical and Psychiatric Outcomes Among Individuals With Bipolar Disorder: A Randomized Controlled Trial

IntroductionChronic condition management has been structured around models that aim at facilitating and development of care through initiatives of self-management, organisational restructuring and information system enhancement.AimInvestigate issues around UK’s health care framework adopted for chronic condition management.ResultsUK’s health care framework for chronic condition care draws upon the Chronic Care Model and Innovation Care for Chronic Conditions framework. However, consideration to the clarity or vagueness of boundaries between different hierarchical structures and awareness of each structure about its focus and contribution to overall health system are not taken into account by these models. The proposed Chronic Condition Management Model is different as it is targeted at primary care which plays a salient role of gate keeping. Change implemented here would lead to better clinical effectiveness, increase in efficiency of the system and reduction in cost. This model does not directly call for policy change; instead it recommends incorporating available evidence into the policy. It calls for empowering the patient by providing health literacy and improving awareness, and for collaboration and cooperation between primary, secondary, tertiary, community and social care services.ConclusionInitiatives towards chronic condition management should be enacted at primary care due to its gate keeping role in the UK’s health care system.

BackgroundInformation and communication technologies (ICT) are key to optimizing the outcomes of the Chronic Care Model (CCM), currently acknowledged as the best synthesis of available evidence for chronic illness prevention and management. At the same time, CCM can offer a needed framework for increasing the relevance and feasibility of ICT innovation and research in health care. Little is known about how and to what extent CCM and ICT research inform each other to leverage mutual strengths. The current study examines: What characterizes work being done at the crossroads of CCM and ICT research and innovation?ObjectiveOur aim is identify the gaps and potential that lie between the research domains CCM and ICT, thus enabling more substantive questions and opportunities for accelerating improvements in ICT-supported chronic care.MethodsUsing a scoping study approach, we developed a search strategy applied to medical and technical databases resulting in 1054 titles and abstracts that address CCM and ICT. After iteratively adapting our inclusion/exclusion criteria to balance between breadth and feasibility, 26 publications from 20 studies were found to fulfill our criteria. Following initial coding of each article according to predefined categories (eg, type of article, CCM component, ICT, health issue), a 1st level analysis was conducted resulting in a broad range of categories. These were gradually reduced by constantly comparing them for underlying commonalities and discrepancies.ResultsNone of the studies included were from technical databases and interventions relied mostly on “old-fashioned” technologies. Technologies supporting “productive interactions” were often one-way (provider to patient), and it was sometimes difficult to decipher how CCM was guiding intervention design. In particular, the major focus on ICT to support providers did not appear unique to the challenges of chronic care. Challenges in facilitating CCM components through ICT included poorly designed user interfaces, digital divide issues, and lack of integration with existing infrastructure.ConclusionsThe CCM is a highly influential guide for health care development, which recognizes the need for alignment of system tools such as ICT. Yet, there seem to be alarmingly few touch points between the subject fields of “health service development” and “ICT-innovation”. Bridging these gaps needs explicit and urgent attention as the synergies between these domains have enormous potential. Policy makers and funding agencies need to facilitate the joining of forces between high-tech innovative expertise and experts in the chronic care system redesign that is required for tackling the current epidemic of long-term multiple conditions.

BackgroundThe chronic care model (CCM) has been widely used in a variety of health care settings to guide system improvement for chronic illness care, including diabetes care. However, the evidence base for the specific components of the model has not been systematically reviewed. This review aimed at examining the extent to which interventions featuring the CCM components improve diabetes care and determining the relative effectiveness of different CCM components.MethodsWe systematically searched MEDLINE (1966 to December 2004), the Cochrane Effective Practice and Organisation of Care and the Cochrane Controlled Trials Register to identify interventions featuring one or more system components of the CCM for diabetes care. Outcome measures included HbA1c, blood pressure and blood lipid control. We used random-effects meta-analysis and meta-regression for quantitative synthesis of data.ResultsIn all, 69 studies (43 randomized controlled trials and 26 controlled before–after studies) met inclusion criteria and were included in this review. Overall, included studies reported a mean reduction of 0.46% (95% CI 0.38, 0.54) in HbA1c, mean reduction of 2.2 (95% CI 0.9, 3.5) mmHg in systolic blood pressure, mean reduction of 1.3 (95% CI 0.6, 2.1) mmHg in diastolic blood pressure and mean reduction of 0.24 (95% CI 0.06, 0.41) mmol/L in total cholesterol. For specific CCM components, interventions that addressed delivery system design reported the largest improvements in patient outcomes, followed by those employing a self-management support component. Interventions involving decision support or clinical information systems reported relatively smaller effect sizes.ConclusionsInterventions featuring CCM components for diabetes care produced small-to-moderate improvements in a range of patient intermediate outcomes. The findings support the concept of the CCM in which the state of development of various aspects of primary care service systems defined in this model appear to be important factors in the quality of care provided to people with diabetes.

Objective Collaborative chronic care models (CCMs) improve outcome in chronic medical illnesses and depression treated in primary care settings. The effect of such models across other treatment settings and mental health conditions has not been comprehensively assessed. The authors performed a systematic review and meta-analysis to assess the comparative effectiveness of CCMs for mental health conditions across disorders and treatment settings. Method Randomized controlled trials comparing CCMs with other care conditions, published or in press by August 15, 2011, were identified in a literature search and through contact with investigators. CCMs were defined a priori as interventions with at least three of the six components of the Improving Chronic Illness Care initiative (patient self-management support, clinical information systems, delivery system redesign, decision support, organizational support, and community resource linkages). Articles were included if the CCM effect on mental health symptoms or mental quality of life was reported. Data extraction included analyses of these outcomes plus social role function, physical and overall quality of life, and costs. Meta-analyses included comparisons using unadjusted continuous measures. Results Seventy-eight articles yielded 161 analyses from 57 trials (depression, N=40; bipolar disorder, N=4; anxiety disorders, N=3; multiple/other disorders, N=10). The meta-analysis indicated significant effects across disorders and care settings for depression as well as for mental and physical quality of life and social role function (Cohen's d values, 0.20–0.33). Total health care costs did not differ between CCMs and comparison models. A systematic review largely confirmed and extended these findings across conditions and outcome domains. Conclusions CCMs can improve mental and physical outcomes for individuals with mental disorders across a wide variety of care settings, and they provide a robust clinical and policy framework for care integration. (Reprinted with permission The American Journal of Psychiatry 2012; 169:790–804)

BackgroundTransplant recipients are chronically ill patients, who require lifelong follow-up to manage co-morbidities and prevent graft loss. This necessitates a system of care that is congruent with the Chronic Care Model. The eleven-item self-report Patient Assessment of Chronic Illness Care (PACIC) scale assesses whether chronic care is congruent with the Chronic Care Model, yet its validity for heart transplant patients has not been tested.MethodsWe tested the validity of the English version of the PACIC, and compared the similarity of the internal structure of the PACIC across English-speaking countries (USA, Canada, Australia and United Kingdom) and across six languages (French, German, Dutch, Spanish, Italian and Portuguese). This was done using data from the cross-sectional international BRIGHT study that included 1378 heart transplant patients from eleven countries across 4 continents. To test the validity of the instrument, confirmatory factor analyses to check the expected unidimensional internal structure, and relations to other variables, were performed.ResultsMain analyses confirmed the validity of the English PACIC version for heart transplant patients. Exploratory analyses across English-speaking countries and languages also confirmed the single factorial dimension, except in Italian and Spanish.ConclusionThis scale could help healthcare providers monitor level of chronic illness management and improve transplantation care.Trial registrationClinicaltrials.gov ID: NCT01608477, first patient enrolled in March 2012, registered retrospectively: May 30, 2012.

ABSTRACTHealthcare reform is currently a hot topic in the United States, and the Chronic Care Model has frequently been cited as the foundation of recent attempts to integrate mental health and physical health care. However, challenges exist to fully integrated care that have delayed adequately meeting the multiple needs of mental health service recipients. This article highlights multiple changes that can be incorporated into mental health care now, derived from the Chronic Care Model, to better meet clients’ physical and mental health needs. These changes include focusing on population-level data and incorporating technology and multidisciplinary teams in treatment and prevention efforts.

Diabetes Care in Malaysia: Problems, New Models, and Solutions

Aim The purpose of this study was to investigate the effects of implementing elements of a context-adapted chronic disease-care model (CACCM) in two local government primary healthcare units of a non-highly urbanized city and a rural municipality in the Philippines on Patients' Assessment of Chronic Illness Care (PACIC) and glycaemic control (HbA1c) of people with diabetes. Low-to-middle income countries like the Philippines are beset with rising prevalence of chronic conditions but their healthcare systems are still acute disease oriented. Attention towards improving care for chronic conditions particularly in primary healthcare is imperative and ways by which this can be done amidst resource constraints need to be explored. A chronic care model was adapted based on the context of the Philippines. Selected elements (community sensitization, decision support, minor re-organization of health services, health service delivery-system re-design, and self-management education and support) were implemented. PACIC and HbA1c were measured before and one year after the start of implementation. Findings The improvements in the PACIC (median, from 3.2 to 3.5) as well as in four of the five subsets of the PACIC were statistically significant (P-values: PACIC=0.009; 'patient activation'=0.026; 'goal setting'=0.017; 'problem solving'<0.001; 'follow-up'<0.001). The decrease in HbA1c (median, from 7.7% to 6.9%) and the level of diabetes control of the project participants (increase of optimally controlled diabetes from 37.2% to 50.6%) were likewise significant (P<0.000 and P=0.014). A significantly higher rating of the post-implementation PACIC subsets 'problem solving' (P=0.027) and 'follow-up' (P=0.025) was noted among those participants whose HbA1c improved. The quality of chronic care in general and primary diabetes care in particular may be improved, as measured through the PACIC and glycaemic control, in resource-constrained settings applying selected elements of a CACCM and without causing much strain on an already-burdened healthcare system.

Integrated care offers an opportunity to address healthcare efficiency and effectiveness concerns and is especially relevant for elderly patients with different chronic illnesses.In current care standards for chronic care focus is often on one disease. The chronic care model (CCM) is used as the basis of integrated care programs. It identifies essential components that encourage high-quality chronic disease care, involving the community and health system and including self-management support, delivery system design, decision support, and clinical information systems. Improvements in those interrelated components can produce system reform in which informed, activated patients interact with prepared, proactive practice teams. There is however a lack of research evidence for the impact of the chronic care model as a full model.Integrated care programs have widely varying definitions and components and failure to recognize these variations leads to inappropriate conclusions about the effectiveness of these programs and to inappropriate application of research results. It seems important to carefully consider the type and amount of data that are collected within the disease management programs for several purposes, as well as the methods of data collection.Understanding and changing the behavior of complex dynamic chronic care system requires an appreciation of its key patterns, leverage points and constraints. A different theoretical framework, that embraces complexity, is required. Research should be design-based, context bound and address relationships among agents in order to provide solutions that address locally defined demands and circumstances.

BackgroundDuring a four-year action research project (2003-2007), a program targeting all type 2 diabetes patients was implemented in a well-defined geographical region in Belgium. The implementation of the program resulted in an increase of the overall Assessment of Chronic Illness Care (ACIC) score from 1.45 in 2003 to 5.5 in 2007. The aim of the follow-up study in 2008 was to assess the effect of the implementation of Chronic Care Model (CCM) elements on the quality of diabetes care in a country where the efforts to adapt primary care to a more chronic care oriented system are still at a starting point.MethodsA quasi-experimental study design involving a control region with comparable geographical and socio-economic characteristics and health care facilities was used to evaluate the effect of the intervention in the region. In collaboration with the InterMutualistic Agency (IMA) and the laboratories from both regions a research database was set up. Study cohorts in both regions were defined by using administrative data from the Sickness Funds and selected from the research database. A set of nine quality indicators was defined based on current scientific evidence. Data were analysed by an institution experienced in longitudinal data analysis.ResultsIn total 4,174 type 2 diabetes patients were selected from the research database; 2,425 patients (52.9% women) with a mean age of 67.5 from the intervention region and 1,749 patients (55.7% women) with a mean age of 67.4 from the control region. At the end of the intervention period, improvements were observed in five of the nine defined quality indicators in the intervention region, three of which (HbA1c assessment, statin therapy, cholesterol target) improved significantly more than in the control region. Mean HbA1c improved significantly in the intervention region (7.55 to 7.06%), but this evolution did not differ significantly (p = 0.4207) from the one in the control region (7.44 to 6.90%). The improvement in lipid control was significantly higher (p = 0.0021) in the intervention region (total cholesterol 199.07 to 173 mg/dl) than in the control region (199.44 to 180.60 mg/dl). The systematic assessment of long-term diabetes complications remained insufficient. In 2006 only 26% of the patients had their urine tested for micro-albuminuria and only 36% had consulted an ophthalmologist.ConclusionAlthough the overall ACIC score increased from 1.45 to 5.5, the improvement in the quality of diabetes care was moderate. Further improvements are needed in the CCM components delivery system design and clinical information systems. The regional networks, as they are financed now by the National Institute for Health and Disability Insurance (NIHDI), are an opportunity to explore how this can be achieved in consultation with the GPs. But it is clear that, simultaneously, action is needed on the health system level to realize the installation of an accurate quality monitoring system and the necessary preconditions for chronic care delivery in primary care (patient registration, staff support, IT support).Trial RegistrationTrial registration number: ClinicalTrials.gov Identifier: NCT00824499

Two chronic care collaboratives (The National Collaborative and the California Collaborative) were convened to facilitate implementing the chronic care model (CCM) in academic medical centers and into post-graduate medical education. We developed and implemented an electronic team survey (ETS) to elicit, in real-time, team member's experiences in caring for people with chronic illness and the effect of the Collaborative on teams and teamwork. The ETS is a qualitative survey based on Electronic Event Sampling Methodology. It is designed to collect meaningful information about daily experience and any event that might influence team members' daily work and subsequent outcomes. Forty-one residency programs from 37 teaching hospitals participated in the collaboratives and comprised faculty and resident physicians, nurses, and administrative staff. Each team member participating in the collaboratives received an e-mail with directions to complete the ETS for four weeks during 2006 (the National Collaborative) and 2007 (the California Collaborative). At the team level, the response rate to the ETS was 87% with team members submitting 1,145 narrative entries. Six key themes emerged from the analysis, which were consistent across all sites. Among teams that achieved better clinical outcomes on Collaborative clinical indicators, an additional key theme emerged: professional work satisfaction, or "Joy in Work". In contrast, among teams that performed lower in collaborative measures, two key themes emerged that reflected the effect of providing care in difficult institutional environments-"lack of professional satisfaction" and awareness of "system failures". The ETS provided a unique perspective into team performance and the day-to-day challenges and opportunities in chronic illness care. Further research is needed to explore systematic approaches to integrating the results from this study into the design of improvement efforts for clinical teams.

BackgroundIndigenous Australians experience disproportionately high prevalence of, and morbidity and mortality from chronic illness such as diabetes, renal disease and cardiovascular disease. Improving the understanding of how Indigenous primary care systems are organised to deliver chronic illness care will inform efforts to improve the quality of care for Indigenous people.MethodsThis cross-sectional study was conducted in 12 Indigenous communities in Australia's Northern Territory. Using the Chronic Care Model as a framework, we carried out a mail-out survey to collect information on material, financial and human resources relating to chronic illness care in participating health centres. Follow up face-to-face interviews with health centre staff were conducted to identify successes and difficulties in the systems in relation to providing chronic illness care to community members.ResultsParticipating health centres had distinct areas of strength and weakness in each component of systems: 1) organisational influence – strengthened by inclusion of chronic illness goals in business plans, appointment of designated chronic disease coordinators and introduction of external clinical audits, but weakened by lack of training in disease prevention and health promotion and limited access to Medicare funding; 2) community linkages – facilitated by working together with community organisations (e.g. local stores) and running community-based programs (e.g. "health week"), but detracted by a shortage of staff especially of Aboriginal health workers working in the community; 3) self management – promoted through patient education and goal setting with clients, but impeded by limited focus on family and community-based activities due to understaffing; 4) decision support – facilitated by distribution of clinical guidelines and their integration with daily care, but limited by inadequate access to and support from specialists; 5) delivery system design – strengthened by provision of transport for clients to health centres, separate men's and women's clinic rooms, specific roles of primary care team members in relation to chronic illness care, effective teamwork, and functional pathology and pharmacy systems, but weakened by staff shortage (particularly doctors and Aboriginal health workers) and high staff turnover; and 6) clinical information systems – facilitated by wide adoption of computerised information systems, but weakened by the systems' complexity and lack of IT maintenance and upgrade support.ConclusionUsing concrete examples, this study translates the concept of the Chronic Care Model (and associated systems view) into practical application in Australian Indigenous primary care settings. This approach proved to be useful in understanding the quality of primary care systems for prevention and management of chronic illness. Further refinement of the systems should focus on both increasing human and financial resources and improving management practice.