Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-26T00:49:21.742Z Has data issue: false hasContentIssue false

Care plans and care planning in long-term conditions: a conceptual model

Published online by Cambridge University Press:  24 July 2013

Jenni Burt*
Affiliation:
Cambridge Centre for Health Services Research, Institute of Public Health, University of Cambridge, Cambridge, UK
Jo Rick
Affiliation:
National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, UK
Thomas Blakeman
Affiliation:
National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, UK
Joanne Protheroe
Affiliation:
Research Institute for Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, Keele, Staffordshire, UK
Martin Roland
Affiliation:
Cambridge Centre for Health Services Research, Institute of Public Health, University of Cambridge, Cambridge, UK
Pete Bower
Affiliation:
National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, UK
*
Correspondence to: Jenni Burt, Research Associate, Cambridge Centre for Health Services Research, Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge CB2 0SR, UK. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The prevalence and impact of long-term conditions continues to rise. Care planning for people with long-term conditions has been a policy priority for chronic disease management in a number of health-care systems. However, patients and providers appear unclear about the formulation and implementation of care planning. Further work in this area is therefore required to inform the development, implementation and evaluation of future care planning initiatives. We distinguish between ‘care planning’ (the process by which health-care professionals and patients discuss, agree and review an action plan to achieve the goals or behaviour change of most relevance and concern to the patient) and a ‘care plan’ (a written document recording the outcome of a care planning process). We propose a typology of care planning and care plans with three core dimensions: perspective (patient or professional), scope (a focus on goals or on behaviours) and networks (confined to the professional–patient dyad or extending to the entire care network). In addition, we draw on psychological models of mediation and moderation to outline potential mechanisms through which care planning and care plans may lead to improved outcomes for both patients and the wider health-care system. The proposed typology of care planning and care plans offered here, along with the model of the process by which care planning may influence outcomes, provide a useful framework for future policy developments and evaluations. Empirical work is required to explore the degree to which current care planning approaches and care plans can be described according to these dimensions, and the factors that determine which types of patients and professionals use which type of care plans.

Type
Development
Copyright
Copyright © Cambridge University Press 2013 

Background

With the burden of disease shifting to long-term conditions, health systems are tasked to deliver effective, efficient, accessible and patient-centred care (Wagner et al., Reference Wagner, Austin and Michael von1996; Department of Health, 2006; Singh and Ham, Reference Singh and Ham2006). The Chronic Care Model was developed in response to concerns about the effectiveness of primary care for people with long-term conditions (Wagner et al., Reference Wagner, Austin and Michael von1996; Wagner, Reference Wagner2001). The model sets out a vision in which informed patients and proactive health-care teams work together within highly organised systems to achieve the highest quality of care. It has been influential in the organization of long-term condition care internationally (Bodenheimer et al., Reference Bodenheimer, Wagner and Grumbach2002b). It recognises that all long-term conditions present a ‘common set of challenges’ to individuals and their families. It aims to support management of the ‘physical, psychological and social demands’ of conditions through ‘productive interactions’ between practice teams and patients that consistently provide (a) assessments, (b) support for self-management, (c) optimisation of therapy and (d) proactive follow-up (Wagner et al., Reference Wagner, Austin and Michael von1996).

Key potential outcomes of the Chronic Care Model include reduction in health-care use and costs, and improved clinical outcomes and patient experience. For example, a broad overview of 39 studies in diabetes found that the vast majority (82%) demonstrated that interventions based on Chronic Care Model components impacted on at least one process or outcome measure, such as glycaemic control (Bodenheimer et al., Reference Bodenheimer, Wagner and Grumbach2002b), while a smaller number of studies (67%) found reductions in health-care utilisation or costs.

There is significant interest in assessment of which aspects of the Chronic Care Model are ‘active ingredients’ (Bodenheimer et al., Reference Bodenheimer, Wagner and Grumbach2002a). Effective collaboration between patients and providers may be crucial, involving ‘providers and patients working together to define problems, set priorities, establish goals, create treatment plans and solve problems along the way’ (Improving Chronic Illness Care, 2012). Such collaboration is the essence of good family practice, but achieving this consistently is a challenge, reflecting professional/patient power disparities (May, Reference May1992), differences in ‘models’ of disease and illness (Cohen et al., Reference Cohen, Tripp-Reimer, Smith, Sorofman and Lively1994), different priorities (Tuckett et al., Reference Tuckett, Boulton, Olson and Williams1985) and the varying challenges associated with different long-term conditions and co-morbidities.

A number of methods have been used to improve collaboration (Lorig et al., Reference Lorig, Sobel, Stewart, Brown, Bandura, Ritter, Gonzalez, Laurent and Holman1999; Dwamena et al., Reference Dwamena, Holmes-Rovner, Gaulden, Jorgenson, Sadigh, Sikorskii, Lewin, Smith, Coffey and Olomu2012; Kennedy et al., Reference Kennedy, Nelson, Reeves, Richardson, Roberts, Robinson, Rogers, Sculpher and Thompson2004). One is a formal process of ‘care planning’ and production of written ‘care plans’ recording discussions between patients and professionals, a specific element recommended within the Chronic Care Model. Broadly, care planning involves

  • anticipatory rather than reactive discussions about patient care;

  • defining roles and tasks among team members, including the patient;

  • negotiating agreements that facilitate care within and across organisation;

  • supporting patients to manage their own health;

  • promoting shared decision making;

  • promoting care that is consistent with scientific evidence and the patient's preferences.

Care planning and care plans have been implemented in health-care systems including Australia, Canada, the United States and the United Kingdom, and in contexts including respiratory disorders (Gibson and Powell, Reference Gibson and Powell2004; Partridge, Reference Partridge2004), mental health (Department of Health, 2008) and palliative care (Epstein et al., Reference Epstein, Volandes and O'reilly2011). However, despite widespread policy interest, empirical research suggests that patients and providers are uncertain as to the exact nature of care planning and plans (Burt et al., Reference Burt, Roland, Paddison, Reeves, Campbell, Abel and Bower2012; Newbould et al., Reference Newbould, Burt, Bower, Blakeman, Kennedy, Rogers and Roland2012). Greater conceptual clarity in this area would benefit both those implementing care planning and care plans, and researchers attempting evaluations in this field (Craig et al., Reference Craig, Dieppe, Macintyre, Michie, Nazareth and Petticrew2008). The aim of this review is to (a) develop a typology of care planning and care plans; (b) present a model of mechanisms by which care planning and care plans may benefit patients and (c) clarify the outcomes that care planning and care plans might be expected to impact on, to inform future service developments and evaluations.

Discussion

Scope and approach of the review

As part of a mixed methods evaluation of care planning for long-term conditions in England, we undertook two different approaches to literature reviews. First, we conducted a systematic search to explore current empirical knowledge in this field. We developed a search strategy including terms related to care plans and planning and long-term conditions. We searched PubMed, Cochrane Library, EMBASE, CINAHL and PsycINFO for studies published up until 2011 of (a) interventions for either patients or health-care providers, which were intended to promote shared decision making or any aspect of shared decision making (eg, patient participation) and (b) interventions that included the provision of a care or action plan (whether stand-alone or as part of a wider self-management intervention). See Appendix 1 for details of our search strategy. We do not report the results here, but use located studies (both empirical and theoretical) to support the ideas outlined in this paper.

Second, we conducted an additional literature review to explore further how and why care planning might work or fail. Through this, we were seeking key drivers of successful care planning and underlying mechanisms through which care planning may impact on outcomes. To this end, we supplemented the findings of our systematic review by conducting searches to locate relevant additional literature (including grey literature such as policy documents from the United Kingdom, United States, Canada and Australia on the implementation or evaluation of care planning and care plans; and theory and discussion papers relevant to the management of long-term conditions and care planning approaches). Thus, in addition to the databases already mentioned, we searched OpenGrey (http://www.opengrey.eu, a European repository including research reports, dissertations and official publications), NTIS (www.ntis.gov/, a repository of US government-funded scientific and other information), PsycEXTRA (www.apa.org/psycextra/, a repository for research reports, conference presentations and policy statements in the fields of psychology, behavioral science and health) and HMIC (a UK database combining data from the Department of Health's Library and Information Services and the King's Fund Information and Library Service) using terms related to ‘care planning’ and ‘long-term conditions’, for publications up until 2011.

Our focus was limited to care planning for long-term conditions within primary care. Definitions of long-term conditions vary. For example, the definition used by the English Department of Health focuses on the incurable nature of such conditions: ‘the definition of a long-term condition is any condition that cannot be cured but can be managed by medication and/or therapy’ (Department of Health, 2011). We defined long-term conditions as those that require ongoing management over a period of years, including non-communicable diseases (eg, cancer and cardiovascular disease), communicable diseases (eg, HIV/AIDS), certain mental disorders (eg, schizophrenia, depression) and ongoing impairments in structure (eg, blindness, joint disorders). This definition acknowledges the work often required for people to manage such conditions.

In this paper, we present a ‘theory map’ of care planning, which focuses on the identification of

  1. a. types of care plans and care planning;

  2. b. anticipated relationships between mechanisms and outcomes of care planning; and

  3. c. potential outcomes of care planning.

Types of care planning

‘Care planning’ and ‘care plans’

We make a distinction between ‘care planning’ (verb: the process by which health-care professionals and patients discuss, agree and review an action plan to achieve the goals or behaviour change of most relevance and concern to the patient), and a ‘care plan’ (noun: a written document recording the outcome of a care planning process). Data from the English National GP Patient Survey suggest that 84% of patients with a long-term condition report some care planning discussion during the last 12 months, but only 12% report being told they had a care plan (Burt et al., Reference Burt, Roland, Paddison, Reeves, Campbell, Abel and Bower2012).

Care plans may function as extensions of the medical record, as a guide to action, and/or as a contract between patients, providers and the health-care system. As an extension of conventional medical records, they may be used to record additional relevant details for long-term condition care. For example, the Australian Team Care Arrangement records details of treatment decisions to ensure all those involved in care are aware of their basis, which may improve management and informational continuity (Haggerty et al., Reference Haggerty, Reid, Freeman, Starfield, Adair and Mckendry2003). As guides to action, they may stimulate forward thinking and a focus on goals for patients and professionals. As a contract, they may include mechanisms to ensure actions are undertaken, for example, by providing incentives to act. Examples include advance decisions within end of life care, which might be legally binding, and care plans enabling access to resources, for example, personal health budgets in the United Kingdom (Harvey, Reference Harvey2010).

As noted above, the process of care planning may not necessarily result in a written care plan. From a policy perspective, the distinction between ‘care plans’ and ‘care planning’ can be represented in a 2 × 2 typology (Figure 1; Burt et al., Reference Burt, Roland, Paddison, Reeves, Campbell, Abel and Bower2012). Quadrant D represents poor quality care, with no care planning and no care plan. In Quadrant C, care planning has taken place but there is no formal ‘care plan’. This probably represents the majority of care for long-term conditions in England at present. Quadrant A represents the ‘gold standard’; care planning supports production of a written care plan, which in turn feeds back into care planning. Box B might reflect ‘gaming’ (Doran et al., Reference Doran, Fullwood, Reeves, Gravelle and Roland2008): a ‘care plan’ is produced, but without a full care planning process. This behaviour may occur if care plans are poorly defined, if they lack clarity of purpose or if their implementation is not supported by suitable training and guidance. Additionally, if care plans are mandated or incentivised (either financially or through access to other resources), but are perceived unfavourably by professionals, care plans may be produced without care planning. A further influence may be the use of standardised care plan templates, which could constrain the recording of a comprehensive and personalised care planning discussion.

Figure 1 Care plans and care planning

The use of care plans

‘Care plans’ or ‘action plans’ have been described in a number of contexts. In respiratory disorders, patient-held care plans are focussed on responses to exacerbations, and provide specific instructions for daily treatment, step-up treatment in the event of deterioration and seeking urgent medical consultation (Gibson and Powell, Reference Gibson and Powell2004). In severe mental illness, care plans combine both instruction and needs assessment, focussing particularly on anticipation of crisis situations (Department of Health, 2007). In diabetes, the use of care plans has a more open-ended aim to encourage partnership building, emphasising the importance of both the professional perspective on ‘disease’ and the ideas and concerns of the patient (Zwar et al., Reference Zwar, Hermiz, Comino, Shortus, Burns and Harris2007).

Care plans are used in health-care systems including the United Kingdom, United States, Canada and Australia. In Australia, care plans have a needs assessment focus, and were originally defined as ‘a written, comprehensive and longitudinal plan of action that sets out the health service needs of a patient and the types of services and supports needed to meet those needs’ (Zwar et al., Reference Zwar, Hasan, Hermiz, Vagholkar, Comino and Harris2008). Some types of care plans in Australia (Team Care Arrangements) were modified to focus on co-ordination and team working for patients under multidisciplinary care (Vagholkar et al., Reference Vagholkar, Hermiz, Zwar, Shortus, Comino and Harris2007; Zwar et al., Reference Zwar, Hasan, Hermiz, Vagholkar, Comino and Harris2008). In the United States, Medicare and Medicaid certified nursing homes have Minimum Data Set requirements that include the development and modification of care plans describing how to meet each resident's needs (Unwin et al., Reference Unwin, Porvaznik and Spoelhof2010). Within the United Kingdom, care plans form part of the patient choice agenda; all patients with long-term conditions are expected to participate in explicit care planning discussions to enhance self-management, including the setting of personal goals and action planning (Department of Health, 2009).

A typology of care planning and care plans

In an effort to develop conceptual clarity in this area, we present a typology which can be used to categorise and describe care planning and care plans (Figure 2). First, it is important to make the distinction between care planning for conditions and care planning for people. Care planning policy often emphasises the importance of taking account of the entirety of a person's conditions, circumstances, attitudes and preferences in developing an effective care plan. Multimorbidity among long-term conditions is common (Valderas et al., Reference Valderas, Starfield, Sibbald, Salisbury and Roland2009). Patients with multiple long-term conditions report difficulties in determining priorities among conditions and their management, and managing multiple conditions can lead to a significant treatment burden (Lin et al., Reference Lin, Katon, Rutter, Simon, Ludman, Von Korff, Young, Oliver, Ciechanowski, Kinder and Walker2006; Bayliss et al., Reference Bayliss, Ellis and Steiner2007b; Fried et al., Reference Fried, Mcgraw, Agostini and Tinetti2008). Although such concerns may drive the formulation of care planning policy, in practice, care plans have often been developed and implemented on a condition-specific basis (eg, for diabetes). We propose a typology with three core dimensions that takes into account these differences in emphasis.

Figure 2 Three-dimensional typology of care plans and care planning. (1) Perspective: Is the focus on the patient's or the professional's perspective? (2) Scope: Is the focus on discrete behaviours or on broader goals and values? (3) Network: Is the focus on patient-professional dyad or the wider care system?

The first dimension (perspective) represents the degree to which the process of development and the content of the care plan reflects the perspective of the professional (with the patient as the ‘target’) or the perspective of the patient (with the professional as the ‘target’). In Australia, patient accounts suggest care plans were seen as being about the professional, and frequently documented ‘clinical goals and activities about which they had no expertise’ (Shortus et al., Reference Shortus, Mckenzie, Kemp, Proudfoot and Harris2007). Self-management policies aimed at empowering patients have been criticised for ignoring the complexities and impact of professional power and the gatekeeping role within the doctor–patient relationship (Tang and Anderson, Reference Tang and Anderson1999; Wilson, Reference Wilson2001). Whereas care planning policy sets out a patient-driven process, supported by the professional, the Australian example shows questions that may be asked about who leads the decision making. It cannot be assumed that introduction of care plans or care planning will immediately impact on existing and long-standing power relationships.

The second dimension (scope) reflects the degree to which the plan is focussed on discrete behaviours and items (eg, steps to take in an exacerbation), or on broader goals (such as a reduction in HbA1C at the next diabetes review). The content of care plan templates may be a key driver of their scope. An analysis of primary care consultations in the United Kingdom suggested that the use of standardised computer templates led to self-management dialogue being framed around discrete behaviours (Blakeman et al., Reference Blakeman, Chew-Graham, Reeves, Rogers and Bower2011).

Combining these two dimensions creates four types of care plans:

  1. 1. Professional-centred/behaviour-focussed: for example, written asthma self-management plans.

  2. 2. Professional-centred/goal-focussed: for example, depression treatment goals in stepped care.

  3. 3. Patient-centred/goal-focussed: for example, advance directives in end of life care, attending a key social event.

  4. 4. Patient-centred/behavior-focussed: for example, healthy eating plans, talking to family about the impact of a condition.

A third dimension (network) can be added to this typology. This describes whether care plans are focussed on the core professional–patient dyad (eg, patient and GP), or a wider care network (eg, a multidisciplinary team and/or social networks; Rogers et al., Reference Rogers, Vassilev, Sanders, Kirk, Chew-Graham, Kennedy, Protheroe, Bower, Blickem, Reeves, Kapadia, Brooks, Fullwood and Richardson2011).

Mechanisms of care planning

To explore mechanisms, we drew on the mediation–moderation model from psychology. In Baron and Kenny's influential formulation, a mediator is a ‘transformation process’ by which the effects of stimuli impact on a behaviour or health outcome (Baron and Kenny, Reference Baron and Kenny1986). A mediator variable explains, in full or part, the relationship between two other variables. For example, care plans may improve health outcomes if they increase shared decision making. A moderator is ‘a qualitative (eg, sex, race, class) or quantitative (eg, level of reward) variable that affects the direction and/or strength of the relation between an independent or predictor variable and a dependent or criterion variable’ (Baron and Kenny, Reference Baron and Kenny1986). The definition and investigation of moderators requires understanding the circumstances or groups where an explanatory variable most strongly influences an outcome variable. For example, care planning may be more effective in patients with long-term conditions with a significant burden of treatment (Department of Health, 2006). Mediators and moderators may interact in various complex ways; identification and understanding of even the basic underlying relationships has the potential to optimise the design of care plans of most utility and relevance to patients and professionals.

Mediators of change in care planning

We suggest three core mediators of relevance to care planning: participation and shared decision making, supporting self-management behaviour change and coordinating treatment (Figure 3).

Figure 3 Conceptual model of the process and outcomes of care planning

Participation and shared decision making

Patient-centred care encourages (a) shared control of the consultation, decisions about interventions or management of the health problems with the patients, and/or (b) a focus in the consultation on the patient as a whole person who has individual preferences situated within social contexts (Dwamena F et al., Reference Dwamena, Holmes-Rovner, Gaulden, Jorgenson, Sadigh, Sikorskii, Lewin, Smith, Coffey and Olomu2012). There may be different approaches to patient-centredness, and evidence suggests variable associations with patient outcomes: for example, approaches that seek to ‘activate’ the patient rather than simply take their perspective have been more consistently associated with good health outcomes (Michie et al., Reference Michie, Miles and Weinman2003). Some innovations to promote patient-centred care have been criticised for superficiality, with insufficient grounding in the key aims of improving patient–doctor relationships and facilitating participation and shared decision making (Epstein and Street, Reference Epstein and Street2011).

Decision making may be seen as a staged sequence of ‘information exchange, deliberation or discussion of treatment preferences, and deciding on the treatment to implement’ (Levinson et al., Reference Levinson, Kao, Kuby and Thisted2005). Key components of patient participation include: (1) the patient's contribution to the direction of dialogue, (2) their influence in setting the agenda, (3) their share in the reasoning process, (4) their influence in the decision making and the (5) emotional reciprocity within encounters (Perakyla and Ruusuvuori, Reference Perakyla and Ruusuvuori2007). Care planning initiatives such as Year of Care in the United Kingdom have been specifically built on a patient-centred approach, with the aim of fostering patient participation and shared decision making through system re-design and practitioner and patient training (National Diabetes Support Team, 2008). Research suggests, however, that many decisions in health care are still not shared (Levinson et al., Reference Levinson, Kao, Kuby and Thisted2005; Murray et al., Reference Murray, Pollack, White and Lo2007), and there remain a number of questions about peoples’ desire to assume an identity of the active, informed patient (Sinding et al., Reference Sinding, Hudak, Wiernikowski, Aronson, Miller, Gould and Fitzpatrick-Lewis2010).

Supporting self- management behaviour change

Care planning should support changes in behavior that result from patients being more involved in management of their conditions. Incorporating theories of behavior change strengthens the design, implementation and evaluation of interventions such as care planning (Abraham et al., Reference Abraham, Kelly, West and Michie2009; Cane et al., Reference Cane, O'connor and Michie2012). Care planning involves a number of potential influences on behavior, and may require a variety of techniques of behavior change. For example, the United Kingdom introduced health trainers to improve the delivery of preventive care and health behaviour change in deprived communities. Those focussed on individual behaviour change often use Personal Health Plans, designed to list core client goals, which can be worked on with the trainer. These plans were explicitly linked with behaviour change techniques developed from a psychological framework, including goal setting, self-monitoring and building social support (British Psychological Society, 2008). There is developing interest in other techniques to support people with long-term conditions to sustain behavior change, such as motivational interviewing (Scott, Reference Scott2010). However, the efficacy, skills and competencies required to facilitate a meaningful and comprehensive care planning process leading to effective behavior change may be challenging for health professionals to develop without sufficient support and time.

Coordinating treatment

Care coordination is the need to process and integrate information relevant to patient care. It reflects both variability and complexity (Perrow, Reference Perrow1967). Variability refers to the diversity of patient problems that present complexity in the degree to which decision-making algorithms can be used to determine necessary actions for task performance. Tasks that demand high levels of information processing are best performed by teams in which there is a high level of interdependent working among members (Thompson, Reference Thompson1967). However, co-ordination of care is often poor, and teams may need processes and structures to facilitate sharing of information. Care planning might provide the basis for shared patient information systems that allow each person to access information on the care provided by others.

Moderators of the effects of care planning

Potential moderators of the effect of care planning include patient-level factors (clinical, psychosocial and socio-demographic) as well as system-level issues (clinical information systems, templates and protocols and health-care team climate).

Clinical issues

There are significant commonalities between long-term conditions in decision making, self-management, and treatment co-ordination requirements. However, important differences may moderate the impact of care planning. For example, diabetes can remain asymptomatic for many years: a lack of explicit symptoms may make care planning appear of low priority for both patients and professionals. In symptomatic disease, the greater ‘visibility’ of the condition may stimulate interest in methods to improve self-management. Care planning approaches may move in and out of perceived relevance, depending on the current stage and severity of a condition: for example, chronic obstructive pulmonary disease (COPD) management plans are usually invoked only for acute exacerbations (Turnock et al., Reference Turnock, Walters, Walters and Wood-Baker2005). Perhaps the most important clinical moderator for care planning is in meeting the needs of patients with multimorbidity, who represent a large proportion of the workload in primary care (Salisbury et al., Reference Salisbury, Johnson, Purdy, Valderas and Montgomery2011). Such patients frequently face difficult decisions about priorities among conditions (Bayliss et al., Reference Bayliss, Bosworth, Noel, Wolff, Damush and Mciver2007a; Fried et al., Reference Fried, Mcgraw, Agostini and Tinetti2008), and time restrictions in primary care may make it difficult to meet their needs for support and information (Bower et al., Reference Bower, Macdonald, Harkness, Gask, Kendrick, Valderas, Dickens, Blakeman and Sibbald2011). Care planning approaches implemented to date are frequently disease specific: completing a diabetes care plan template for someone with multimorbidity may not be the most appropriate way of meeting their needs.

Psychosocial issues

There is extensive evidence that preferences for shared-decision making vary by patient demography (Say et al., Reference Say, Murtagh and Thomson2006; Cullati et al., Reference Cullati, Courvoisier, Charvet-Berard and Perneger2011; Protheroe et al., Reference Protheroe, Brooks, Chew-Graham, Gardner and Rogers2012). It remains a key research question whether the effectiveness of care plans will be lower in those groups who routinely prefer professionals to lead, or whether intervention in these groups will lead to enhanced outcomes, as they have greatest capacity to benefit. Variations in patient competency to participate in care planning processes may affect uptake and outcomes.

Much of the consideration of care planning focuses on the individual patient, in consultation with individual or teams of professionals. However, support for long-term conditions does not occur at an individual level alone, and often involves significant ‘networks of support’ including family, friends, professionals outside health services and community groups (Rogers et al., Reference Rogers, Vassilev, Sanders, Kirk, Chew-Graham, Kennedy, Protheroe, Bower, Blickem, Reeves, Kapadia, Brooks, Fullwood and Richardson2011). Effective care planning may therefore place a greater emphasis on events and support outside of formal health-care services.

Socio-demographic issues

A number of socio-demographic issues may moderate the effect of care planning on outcomes. In an analysis of whether care planning discussions had helped improve management of a health problem, benefits of care planning were reported more by men and older patients, as well as those reporting better access to and continuity of care (Burt et al., Reference Burt, Roland, Paddison, Reeves, Campbell, Abel and Bower2012). Other relevant factors may include level of deprivation, ethnic background, language and carer responsibilities, although empirical evidence is currently lacking. The capacity of patients to benefit may also be moderated by health literacy (Nutbeam, Reference Nutbeam2008). Health literacy is the ‘degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions’ (Institute of Medicine, 2004). Low health literacy is associated with a range of markers of poor health including: higher rates of long-term conditions, poor self-management, poorer understanding of one's medical condition and adherence to medical instructions, reduced responsiveness to health education and higher health-care costs (Berkman et al., Reference Berkman, Sheridan, Donahue, Halpern, Viera, Crotty and Viswanathan2011). In addition, low health literacy may be associated with higher mortality in older adults. This may have important implications for the delivery and impact of care planning in those with poorer health literacy (Bostock and Steptoe, Reference Bostock and Steptoe2012).

Clinical information systems, templates and protocols

Potential constraints on the process of care planning and the production of care plans arising from the use of templates or particular clinical information systems have already been mentioned. Patient data systems may be organized around service needs and data monitoring requirements rather than patient experience of illness (Procter et al., Reference Procter, Wilson, Brooks and Kendall2013). An ethnography of computer templates in chronic disease management concluded that their use in consultations contributes to ‘how disease is defined; how care is delivered; what it means to be a patient; and what it means to be a clinician’ (Swinglehurst et al., Reference Swinglehurst, Greenhalgh and Roberts2012). Effective individualized care planning and care plans are likely to be influenced by the nature of the clinical system, including, for example, whether clinicians are prompted to review the implementation of the plan at a later date.

Health-care team climate

Climate has been defined as a team's shared perceptions of organisational policies, practices and procedures (Anderson and West, Reference Anderson and West1998). There is evidence that strong team orientation and perceptions of supportive team interactions in primary care teams may impact on health status of older patients, with stronger effects in more serious diagnoses (eg, cancer, COPD; Roblin et al., Reference Roblin, Howard, Junling and Becker2011). Studies of primary care teamwork highlight that developing trust and respect is necessary for co-operation, and there are potentially problematic issues within groups of GPs, and between GPs and other health professionals, concerning the distribution of practice workload and conflicts about roles (Belanger and Rodriguez, Reference Belanger and Rodriguez2008). The effective uptake and implementation of care planning and care plans may in part be moderated by the quality of teamwork within a provider, especially in patients with multimorbidity and significant multidisciplinary input.

Process and health outcomes of care planning

Quality of health care for individuals has been defined as ‘whether individuals can access the health structures and processes of care which they need and whether the care received is effective’ (Campbell et al., Reference Campbell, Roland and Buetow2000). This approach clearly differentiates the structure of health care (through which care is delivered and received) from the process of health care (the care that is given). Outcome of care is a result of the interaction between individuals and the health-care system; a consequence rather than a part of care (Campbell et al., Reference Campbell, Roland and Buetow2000). Through improving the processes of care, it is anticipated that care planning could contribute to improved health outcomes including health status, user experience and costs of care. However, there is currently little evidence on the impact of the care planning process as a whole on health or other outcomes, although the beneficial effects of many of the components of care planning are better understood (Graffy et al., Reference Graffy, Eaton, Sturt and Chadwick2009). Mapping aspects of care planning onto the framework of the Chronic Care Model, we highlight five measurable outcomes of interest that may support the development of an evidence base (Improving Chronic Illness Care).

First, supporting self-management is at the core of care planning. The Chronic Care Model highlights the importance of empowering and preparing patients to manage their health. Measurable outcomes of care planning for self-management may therefore include an assessment of engagement in healthy behaviours, self-efficacy (a perception of confidence to complete activities; Lorig et al., Reference Lorig, Seleznick, Lubeck, Ung, Chastain and Holman1989), management of medication regimes and perceived barriers to self-management.

Second, care planning involves the provision of support for decision making. Within the Chronic Care Model, the aspiration is to promote care, which is consistent with scientific evidence and patient preferences, including the sharing of guidelines and information with patients to encourage participation. Measurable outcomes of care planning in this domain could include patient perceptions of the degree to which their health-care professional is ‘autonomy supportive’ as opposed to ‘controlling’. Autonomy support has been defined as providing patients with effective options for treatment, supporting patient initiatives and minimising professional judgment (Williams et al., Reference Williams, Grow, Freedman, Ryan and Deci1996).

Third, care plans that are focussed on multiple professionals may make explicit the roles and tasks of each (Zwar et al., Reference Zwar, Hermiz, Comino, Shortus, Burns and Harris2007; Zwar et al., Reference Zwar, Hasan, Hermiz, Vagholkar, Comino and Harris2008). The planning aspect of care plans may facilitate follow-up, and including values and preferences may make care more responsive to patient's background and preferences. This highlights the Chronic Care Model's call for careful design of the delivery system, including the clear definition of roles and distribution of tasks among team members (including the patient), and regular follow-up by the health-care team. Assessment of the impact of care planning on this domain may include patient experience of care, including in particular perceptions of continuity, coordination and follow-up (see Haggerty et al. (Reference Haggerty, Roberge, Freeman, Beaulieu and Bréton2012) for a recent generic measure of continuity of care).

Fourth, care plans that are focussed on multiple professionals may lead to the development of mechanisms to co-ordinate care at an organisational level (Zwar et al., Reference Zwar, Hermiz, Comino, Shortus, Burns and Harris2007; Reference Zwar, Hasan, Hermiz, Vagholkar, Comino and Harris2008). The Chronic Care Model suggests that there is a need to foster the right culture, organization and mechanisms to promote safe, high-quality care, which includes the development of agreements to facilitate coordination in and across organisations. Assessment of changes in team effectiveness and cross-organisational working (using, eg, the Team Climate Inventory; Anderson and West, Reference Anderson and West1998; Reference Anderson and West1999) and overall patient experience (such as assessed by the GP Patient Survey; Department of Health, 2012) could be useful here.

Finally, the Chronic Care Model requires high-quality clinical information systems, which are also needed to facilitate care planning, via the effective recording, retrieval and sharing of the content of plans over time. The developing field of electronic health records has clear implications for care planning processes; as already noted, templates may restrict discussions between providers and patients, but electronic data shared across health-care teams and organisations may also streamline the recording and reviewing of care planning discussions and care plans. Measurable outcomes of the impact of care planning on effective use of clinical systems could include patient assessment of information provision and coordination of care, for example, as in the follow-up/coordination scales of the PACIC (Patient Assessment of Chronic Illness Care) instrument (Glasgow et al., Reference Glasgow, Wagner, Schaefer, Mahoney, Reid and Greene2005; Rick et al., Reference Rick, Rowe, Hann, Sibbald, Reeves, Roland and Bower2012).

Summary

There is significant policy interest in the potential of care plans and care planning. However, empirical evidence suggests that, at ground level, there remains a lack of specificity concerning the nature of care plans and care planning, as well as insufficient consideration of their likely influence on processes; anticipated outcomes; and factors, which might influence benefit. The proposed typology of care planning offered here, along with the model of the process by which care planning may influence outcomes, provide a useful framework for future policy developments and evaluations. Empirical work is required to explore the degree to which current care plans can be described according to these dimensions, and the factors that determine which types of patients and professionals use which type of care plans.

Acknowledgements

The authors thank Anne Rogers and Anne Kennedy for their advice throughout this project. They also thank two reviewers for their extremely thoughtful suggestions, which greatly improved the manuscript.

Financial Support

The work presented in this paper was funded by a grant from the UK Department of Health Policy Research Programme Reference Number: 077/0016. This is an independent report commissioned and funded by the Policy Research Programme in the Department of Health. The views expressed are not necessarily those of the Department of Health.

Conflicts of Interest

None.

Appendix 1: Search strategy

The following is the specific search strategy used in PubMed. This search strategy was applied to the other databases (Cochrane Library, EMBASE, CINAHL and PsycINFO).

#1 patient care planning[mh:noexp] or advance care planning[mh:noexp] or patient participation[mh:noexp] or care plan*[tiab] or care-plan*[tiab] or action plan*[tiab] or action-plan*[tiab] or management plan*[tiab] or management-plan*[tiab] or management program*[tiab] or personal health plan*[tiab] or personal-health-plan*[tiab] or self manag*[tiab] or self-manag*[tiab] or self car*[tiab] or self-car*[tiab]

#2 chronic disease [mh] or chronic disease[tiab] or chronic-disease[tiab] or (ongoing[tiab] adj (illness*[tiab] or disease[tiab] or condition*[tiab])) or (ongoing[tiab] adj health adj (illness*[tiab] or disease[tiab] or condition*[tiab])) or (persistent[tiab] adj (illness*[tiab] or disease[tiab] or condition*[tiab])) or (long[tiab] adj term adj (illness*[tiab] or disease[tiab] or condition*[tiab]))

References

Abraham, C., Kelly, M., West, R.Michie, S. 2009: The UK national institute for health and clinical excellence public health guidance on behavior change: a brief introduction. Psychology, Health & Medicine 14, 18.Google Scholar
Anderson, N.R.West, M.A. 1998: Measuring climate for work group innovation: development and validation of the team climate inventory. Journal of Organizational Behavior 19, 235258.Google Scholar
Anderson, N.R.West, M.A. 1999: The Team Climate Inventory (Revised). Manual and Users’ Guide. Windsor, UK: NFER-Nelson.Google Scholar
Baron, R.M.Kenny, D.A. 1986: The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 51, 11731182.CrossRefGoogle ScholarPubMed
Bayliss, E.A., Bosworth, H.B., Noel, P.H., Wolff, J.L., Damush, T.M.Mciver, L. 2007a: Supporting self-management for patients with complex medical needs: recommendations of a working group. Chronic Illness 3, 167175.Google Scholar
Bayliss, E.A., Ellis, J.L.Steiner, J.F. 2007b: Barriers to self-management and quality-of-life outcomes in seniors with multimorbidities. Annals of Family Medicine 5, 395402.Google Scholar
Belanger, E.Rodriguez, C. 2008: More than the sum of its parts? A qualitative research synthesis on multi-disciplinary primary care teams. Journal of Interprofessional Care 22, 587597.CrossRefGoogle Scholar
Berkman, N.D., Sheridan, S.L., Donahue, K.E., Halpern, D.J., Viera, A., Crotty, K.Viswanathan, M. 2011: Health literacy interventions and outcomes: an updated systematic review. Evidence Report/Technology Assessment. Rockville, MD: Agency for Healthcare Research and Quality.Google Scholar
Blakeman, T., Chew-Graham, C., Reeves, D., Rogers, A.Bower, P. 2011: The Quality and Outcomes Framework and self-management dialogue in primary care consultations: a qualitative study. British Journal of General Practice 61, e66673.Google Scholar
Bodenheimer, T., Wagner, E.H.Grumbach, K. 2002a: Improving primary care for patients with chronic illness. Journal of the American Medical Association 288, 17751779.Google Scholar
Bodenheimer, T., Wagner, E.H.Grumbach, K. 2002b: Improving primary care for patients with chronic illness: the chronic care model, part 2. Journal of the American Medical Association 288, 19091914.Google Scholar
Bostock, S.Steptoe, A. 2012: Association between low functional health literacy and mortality in older adults: longitudinal cohort study. British Medical Journal 344, e1602.Google Scholar
Bower, P., Macdonald, W., Harkness, E., Gask, L., Kendrick, T., Valderas, J.M., Dickens, C., Blakeman, T.Sibbald, B. 2011: Multimorbidity, service organization and clinical decision making in primary care: a qualitative study. Family Practice 28, 579587.Google Scholar
British Psychological Society. 2008: Improving health: changing behaviour. NHS health trainer handbook. London: Department of Health.Google Scholar
Burt, J., Roland, M., Paddison, C., Reeves, D., Campbell, J., Abel, G.Bower, P. 2012: Prevalence and benefits of care plans and care planning for people with long-term conditions in England. Journal of Health Services Research and Policy 17 (Suppl 1), 6471.CrossRefGoogle ScholarPubMed
Campbell, S.M., Roland, M.O.Buetow, S.A. 2000: Defining quality of care. Social Science & Medicine 51, 16111625.CrossRefGoogle ScholarPubMed
Cane, J., O'connor, D.Michie, S. 2012: Validation of the theoretical domains framework for use in behaviour change and implementation research. Implementation Science 7, 37.Google Scholar
Cohen, M.Z., Tripp-Reimer, T., Smith, C., Sorofman, B.Lively, S. 1994: Explanatory models of diabetes: patient practitioner variation. Social Science & Medicine 38, 5966.CrossRefGoogle ScholarPubMed
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth, I.Petticrew, M. 2008: Developing and evaluating complex interventions: the new Medical Research Council guidance. British Medical Journal 337, a1655.Google Scholar
Cullati, S., Courvoisier, D.S., Charvet-Berard, A.I.Perneger, T.V. 2011: Desire for autonomy in health care decisions: a general population survey. Patient Education and Counseling 83, 134138.Google Scholar
Department of Health. 2012: The GP Patient Survey. Retrieved 18 December 2012 from http://www.gp-patient.co.uk/Google Scholar
Department of Health. 2011: Millions of patients set to benefit from a modern NHS. Retrieved 7 June 2012 from http://webarchive.nationalarchives.gov.uk/+/www.dh.gov.uk/en/MediaCentre/Pressreleases/DH_125042Google Scholar
Department of Health. 2006: Our health, our care, our say: a new direction for community services. London: Department of Health.Google Scholar
Department of Health. 2007: Making the CPA work for you. London: Department of Health.Google Scholar
Department of Health. 2008: Refocusing the care programme approach: policy and positive practice guidance. London: Department of Health.Google Scholar
Department of Health. 2009: Supporting people with long term conditions. Commissioning personalised care planning: a guide for commissioners. London: Department of Health.Google Scholar
Doran, T., Fullwood, C., Reeves, D., Gravelle, H.Roland, M. 2008: Exclusion of patients from pay-for-performance targets by English physicians. New England Journal of Medicine 359, 274284.Google Scholar
Dwamena, F., Holmes-Rovner, M., Gaulden, C.M., Jorgenson, S.Sadigh, G., Sikorskii, A., Lewin, S., Smith, RC, Coffey, J., Olomu, A. 2012: Interventions for providers to promote a patient-centred approach in clinical consultations. Cochrane Database of Systematic Reviews 12.Google Scholar
Epstein, A.S., Volandes, A.E.O'reilly, E.M. 2011: Building on individual, state, and federal initiatives for advance care planning: an integral component of palliative and end-of-life cancer care. Journal of Oncology Practice 7, 355359.CrossRefGoogle ScholarPubMed
Epstein, R.M.Street, R.L. 2011: The values and value of patient-centered care. The Annals of Family Medicine 9, 100103.Google Scholar
Fried, T.R., Mcgraw, S., Agostini, J.V.Tinetti, M.E. 2008: Views of older persons with multiple morbidities on competing outcomes and clinical decision-making. Journal of the American Geriatrics Society 56, 18391844.Google Scholar
Gibson, P.G.Powell, H. 2004: Written action plans for asthma: an evidence-based review of the key components. Thorax 59, 9499.Google Scholar
Glasgow, R.E., Wagner, E.H., Schaefer, J., Mahoney, L.D., Reid, R.J.Greene, S.M. 2005: Development and validation of the Patient Assessment of Chronic Illness Care (PACIC). Medical Care 43, 436444.Google Scholar
Graffy, J., Eaton, S., Sturt, J.Chadwick, P. 2009: Personalized care planning for diabetes: policy lessons from systematic reviews of consultation and self-management interventions. Primary Health Care Research & Development 10, 210222.Google Scholar
Haggerty, J.L., Reid, R.J., Freeman, G.K., Starfield, B.H., Adair, C.E.Mckendry, R. 2003: Continuity of care: a multidisciplinary review. British Medical Journal 327, 12191221.Google Scholar
Haggerty, J.L., Roberge, D., Freeman, G.K., Beaulieu, C.Bréton, M. 2012: Validation of a generic measure of continuity of care: when patients encounter several clinicians. The Annals of Family Medicine 10, 443451.Google Scholar
Harvey, J. 2010: Key elements of personalised care planning in long term conditions and personal health budgets. London: NHS.Google Scholar
Improving Chronic Illness Care. 2012: The chronic care model. Retrieved 8 August 2012 from http://www.improvingchroniccare.org/index.php?p=The_Chronic_Care_Model&s=2Google Scholar
Institute of Medicine. 2004: Health literacy: a prescription to end confusion. Washington, DC: Institute of Medicine.Google Scholar
Kennedy, A.P., Nelson, E., Reeves, D., Richardson, G., Roberts, C., Robinson, A., Rogers, A.E., Sculpher, M.Thompson, D.G. 2004: A randomised controlled trial to assess the effectiveness and cost of a patient orientated self management approach to chronic inflammatory bowel disease. Gut 53, 16391645.Google Scholar
Levinson, W., Kao, A., Kuby, A.Thisted, R.A. 2005: Not all patients want to participate in decision making. A national study of public preferences. International Journal of General Medicine 20, 531535.Google Scholar
Lin, E.H., Katon, W., Rutter, C., Simon, G.E., Ludman, E.J., Von Korff, M., Young, B., Oliver, M., Ciechanowski, P.C., Kinder, L.Walker, E. 2006: Effects of enhanced depression treatment on diabetes self-care. Annals of Family Medicine 4, 4653.Google Scholar
Lorig, K., Seleznick, M., Lubeck, D., Ung, E., Chastain, R.Holman, H. 1989: The beneficial outcomes of the arthritis self-management course are not adequately explained by behaviour change. Arthritis and Rheumatism 32, 9195.Google Scholar
Lorig, K.R., Sobel, D.S., Stewart, A.L., Brown, B.W. JR., Bandura, A., Ritter, P., Gonzalez, V.M., Laurent, D.D.Holman, H.R. 1999: Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Medical Care 37, 514.Google Scholar
May, C. 1992: Individual care? Power and subjectivity in therapeutic relationships. Sociology 26, 589602.Google Scholar
Michie, S., Miles, J.Weinman, J. 2003: Patient-centredness in chronic illness: what is it and does it matter? Patient Education and Counseling 51, 197206.CrossRefGoogle ScholarPubMed
Murray, E., Pollack, L., White, M.Lo, B. 2007: Clinical decision-making: patients’ preferences and experiences. Patient Education and Counseling 65, 189196.CrossRefGoogle ScholarPubMed
National Diabetes Support Team. 2008: Getting to grips with the year of care: a practical guide. London: National Diabetes Support Team.Google Scholar
Newbould, J., Burt, J., Bower, P., Blakeman, T., Kennedy, A., Rogers, A.Roland, M. 2012: Experiences of care planning in England: interviews with patients with long term conditions. BMC Family Practice 13, 71.Google Scholar
Nutbeam, D. 2008: The evolving concept of health literacy. Social Science & Medicine 67, 20722078.Google Scholar
Partridge, M.R. 2004: Written asthma action plans. Thorax 59, 8788.Google Scholar
Perakyla, A.Ruusuvuori, J. 2007: Components of participation in health care consultations: a conceptual model for research. In Collins S., Britten N., Ruusuvuori J. and Thompson A., editor, pp 167175. Patient participation in health care consultations: qualitative perspectives. Maidenhead: Open University Press.Google Scholar
Perrow, C. 1967: A framework for the comparative analysis of complex organizations. American Sociological Review 32, 194208.CrossRefGoogle Scholar
Procter, S., Wilson, P.M., Brooks, F.Kendall, S. 2013: Success and failure in integrated models of nursing for long term conditions: multiple case studies of whole systems. International Journal of Nursing Studies 50, 632643.Google Scholar
Protheroe, J., Brooks, H., Chew-Graham, C., Gardner, C.Rogers, A. 2012: ‘Permission to participate?’: a qualitative study of participation in patients from differing socio-economic backgrounds. Journal of Health Psychology.Google ScholarPubMed
Rick, J., Rowe, K., Hann, M., Sibbald, B., Reeves, D., Roland, M.Bower, P. 2012: Psychometric properties of the patient assessment of chronic illness care measure: acceptability, reliability and validity in United Kingdom patients with long-term conditions. BMC Health Services Research 12, 293.Google Scholar
Roblin, D.W., Howard, D.H., Junling, R.Becker, E.R. 2011: An evaluation of the influence of primary care team functioning on the health of Medicare beneficiaries. Medical Care Research and Review 68, 177201.Google Scholar
Rogers, A., Vassilev, I., Sanders, C., Kirk, S., Chew-Graham, C., Kennedy, A., Protheroe, J., Bower, P., Blickem, C., Reeves, D., Kapadia, D., Brooks, H., Fullwood, C.Richardson, G. 2011: Social networks, work and network-based resources for the management of long-term conditions: a framework and study protocol for developing self-care support. Implementation Science 6, 56.Google Scholar
Salisbury, C., Johnson, L., Purdy, S., Valderas, J.Montgomery, A. 2011: Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study. British Journal of General Practice 61, e12e21.CrossRefGoogle ScholarPubMed
Say, R., Murtagh, M.Thomson, R. 2006: Patients’ preference for involvement in medical decision making: a narrative review. Patient Education and Counseling 60, 102114.Google Scholar
Scott, G. 2010: Motivational interviewing. 2: How to apply this approach in nursing practice. Nursing Times 106, 2122.Google Scholar
Shortus, T.D., Mckenzie, S.H., Kemp, L.A., Proudfoot, J.G.Harris, M.F. 2007: Multidisciplinary care plans for diabetes: how are they used? The Medical Journal of Australia 187, 7881.CrossRefGoogle ScholarPubMed
Sinding, C., Hudak, P., Wiernikowski, J., Aronson, J., Miller, P., Gould, J.Fitzpatrick-Lewis, D. 2010: “I like to be an informed person but…” negotiating responsibility for treatment decisions in cancer care. Social Science & Medicine 71, 10941101.Google Scholar
Singh, D.Ham, C. 2006: Improving care for people with long-term conditions: a review of UK and international frameworks. Birmingham: University of Birmingham; NHS Institute for Innovation and Improvement.Google Scholar
Swinglehurst, D., Greenhalgh, T.Roberts, C. 2012: Computer templates in chronic disease management: ethnographic case study in general practice. BMJ Open 2, e001754.Google Scholar
Tang, S.Y.Anderson, J.M. 1999: Human agency and the process of healing: lessons learned from women living with a chronic illness – ‘re-writing the expert’. Nursing Inquiry 6, 8393.Google Scholar
Thompson, J.D. 1967: Organizations in action. New York: McGraw-Hill.Google Scholar
Tuckett, D., Boulton, M., Olson, C.Williams, A. 1985: Meetings between experts: an approach to sharing ideas in medical consultations. London: Tavistock Publications.Google Scholar
Turnock, A., Walters, H., Walters, J., Wood-Baker, R. 2005. Action plans for chronic obstructive pulmonary disease. Cochrane Database of Systematic Reviews. Retrieved 7 June 2012 from http://www.mrw.interscience.wiley.com/cochrane/clsysrev/articles/CD005074/frame.htmlGoogle Scholar
Unwin, B.K., Porvaznik, M.Spoelhof, G.D. 2010: Nursing home care: part I. Principles and pitfalls of practice. American Family Physician 81, 12191227.Google Scholar
Vagholkar, S., Hermiz, O., Zwar, N.A., Shortus, T., Comino, E.J.Harris, M. 2007: Multidisciplinary care plans for diabetic patients: what do they contain? Australian Family Physician 36, 279282.Google Scholar
Valderas, J.M., Starfield, B., Sibbald, B., Salisbury, C.Roland, M. 2009: Defining comorbidity: implications for understanding health and health services. Annals of Family Medicine 7, 357363.Google Scholar
Wagner, E.H. 2001: Meeting the needs of chronically ill people. British Medical Journal 323, 945946.Google Scholar
Wagner, E.H., Austin, B.T.Michael von, K. 1996: Organizing care for patients with chronic illness. The Milbank Quarterly 74, 511544.Google Scholar
Williams, G.C., Grow, V.M., Freedman, Z.R., Ryan, R.M.Deci, E.L. 1996: Motivational predictors of weight loss and weight-loss maintenance. Journal of Personality and Social Psychology 70, 115126.Google Scholar
Wilson, P.M. 2001: A policy analysis of the Expert Patient in the United Kingdom: self-care as an expression of pastoral power? Health and Social Care in the Community 9, 134142.Google Scholar
Zwar, N., Hasan, I., Hermiz, O., Vagholkar, S., Comino, E.Harris, M. 2008: Multidisciplinary care plans and diabetes – benefits for patients with poor glycaemic control. Australian Family Physician 37, 960962.Google Scholar
Zwar, N.A., Hermiz, O., Comino, E.J., Shortus, T., Burns, J.Harris, M. 2007: Do multidisciplinary care plans result in better care for patients with type 2 diabetes? Australian Family Physician 36, 8589.Google Scholar
Figure 0

Figure 1 Care plans and care planning

Figure 1

Figure 2 Three-dimensional typology of care plans and care planning. (1) Perspective: Is the focus on the patient's or the professional's perspective? (2) Scope: Is the focus on discrete behaviours or on broader goals and values? (3) Network: Is the focus on patient-professional dyad or the wider care system?

Figure 2

Figure 3 Conceptual model of the process and outcomes of care planning