Skip to main content

Increasing advance personal planning: the need for action at the community level

Abstract

Background

Advance personal planning is the process by which people consider, document and communicate their preferences for personal, financial and health matters in case they lose the ability to make decisions or express their wishes in the future.

Discussion

Advance personal planning is most often undertaken by individuals who are seriously ill, often in the context of a medical crisis and/or at the time of admission to hospital. However, the clinical utility and legal validity of the planning process may be compromised in these circumstances. Patients may lack sufficient capacity to meaningfully engage in advance personal planning; there may be insufficient time to adequately reflect on and discuss wishes with key others; and there may also be limited opportunity for inter-professional input and collaboration in the process. Here, we propose an agenda for research to advance the science of advance personal planning by promoting a ‘whole community’ approach. Adoption of advance personal planning at a community level may be achieved using a variety of strategies including public media campaigns, intervening with professionals across a range of health care and legal settings, and mobilising support from influential groups and local government. One potentially promising method for encouraging earlier adoption of advance personal planning among a broader population involves a community action approach, whereby multiple evidence-based strategies are integrated across multiple access points. Community action involves calling on community members, professionals, community and/or government organisations to work collaboratively to design and systematically implement intervention strategies with the aim of bringing about desired behaviour change. An example of a community action trial to improving uptake and quality of advance personal planning is described.

Conclusion

While promising, there is a need for rigorous evidence to demonstrate whether a community action approach is effective in establishing whole community adoption of advance personal planning.

Peer Review reports

Background

Advance personal planning (APP) is important, yet rates of participation are variable

Advance Personal Planning (APP) is a process of planning for future incapacity and the end of life. It can include: making an advance care directive (ACD) to express values and instructions about health matters; the appointment of substitute decision makers (SDMs) to make financial, health and personal decisions during periods of incapacity; and making a will to distribute assets upon death. Documented benefits to engaging in APP include reducing the likelihood of: estate distribution disputes, financial exploitation, unwanted medical care, and easing the burden on SDMs [1,2,3]. APP can also increase awareness and knowledge without increasing hopelessness or anxiety [4].

Despite the potential benefits, rates of uptake of APP vary. Many people do not engage in the full range of APP actions. People are more likely to complete financial APP instruments such as wills, than instruments that cover personal and health issues [2]. Studies on the prevalence of ACD ownership have been primarily undertaken in the USA, with figures ranging from 26 to 70% among those aged 65 years or over [5]. A 2014 survey of 15,617 older adults found that completion of written plans describing treatment options varied across 11 countries, including Germany (58%), Canada (46%), Australia (31%), the UK (20%), and Norway (4%) [6]. Despite their potentially central role in decision-making in cases where the patient does not have capacity and no valid ACD is available, the appointment of medical SDMs also occurs infrequently [6, 7].

There are a number of disadvantages to absent or delayed APP

To engage meaningfully in APP, people need realistic and accurate information about choices and likely outcomes. However, these conversations are often delayed until people are imminently dying [8]. Consideration of who people want to make decisions and their most important values may be unrealistic in circumstances where conversations are delayed until a medical crisis and a person’s capacity is lost due to treatment or illness [8, 9]. There may be reluctance to initiate APP with people who are acutely unwell for fear that decisions may not accurately reflect their wishes, or that it will cause distress. While declining personal health is a strong motivator for APP, many people express a desire for discussions to occur sooner rather than later [10]. Those who are not seriously ill or have limited access to services may also miss opportunities for APP. This is an important gap as these individuals can still be called on to act as a SDM for someone else, or experience unexpected traumatic events that lead to a loss of their decision-making capacity. This places them at greater risk of negative outcomes, such as unintended distribution of assets, complications over guardianship of children or receipt of unwanted medical care [11].

Providers may also be reluctant to implement instruments established some time ago or that include instructions that are vague or do not comply with quality criteria set out in policy documents [12, 13]. Health-legal collaboration has been highlighted as one method for improving the quality of APP processes, particularly the legal validity and clinical utility of the documents that are prepared [14]. However, opportunities for input and collaboration across health and legal professions is often limited in health care settings or during medical crises. Working within professional siloes, neither lawyers nor doctors are optimally effective in helping clients with APP [15]. While their involvement may enhance clinical utility, health professionals are often challenged by limited legal knowledge in relation to APP [16]; and difficulties identifying those who lack capacity to make decisions [17]. Lawyers have inconsistent practices for assessing capacity [18] and generally lack awareness of the realities of healthcare delivery [15]. Competing provider demands and problems in sharing instruments with relevant stakeholders also contribute to the failure to successfully implement APP [19].

Main text

Reaching a broader population in a more timely manner: A whole community approach

Effective APP requires that a person is given time to consider and express values and preferences; someone is appointed who is able to make decisions on behalf of the person if required (i.e. an SDM); and documentation of values and preferences is available when decisions need to be made [20, 21]. A range of different approaches have been tested to improve the uptake and quality of APP. Traditionally, intervention strategies aimed at improving participation have been targeted toward defined individuals, groups or care settings (e.g seriouslly ill people, hospitals). Interventions providing standardised information to individuals have improved documentation of EOL preferences by 25–30% [22]. Combined interventions targeted toward patients and professionals, such as skills-based training, tailored pre-visit educational coaching interventions and question prompt lists, have also been effective in improving EOL communication [23]. Attempts to reach a broader spectrum of the population have led to intervention efforts that have been coordinated across multiple health care settings. For instance, system-level initiatives such as Respecting Patient Choices (RPC) and Physician Orders for Life-Sustaining Treatment (POLST), have used a combination of strategies, such as professional education, organizational policies and procedures and quality improvement [24]. These initiatives have achieved modest improvements in rates of ACD ownership, identification of appropriate SDMs and documentation of wishes [25, 26].

While promising, these initiatives have focused solely on improving engagement in medical decision-making. The range of complex decisions people may face as they transition through different life-stages (i.e. personal and financial as well as health) are rarely considered. Further, they do not allow for fluctuations that may occur in a person’s capacity, which is typically temporal and situational. For instance, a person may be capable of making simple health decisions (e.g. have a blood test), but incapable of making complex financial decisions (e.g. selling a house). Optimal APP therefore requires ongoing discussions of peoples wishes across multiple decision-making domains. Because the consequences of suboptimal APP may be spread across multiple settings, including health, legal and social services, all members of a community have a responsibility to work together to improve the quality of APP processes, rather than relying on efforts within the health care sector. Further, key APP decisions can cover multiple domains (e.g. financial implications of a decision about accessing services) which may require different professional skill sets. In response, there have been calls to “transform systemic processes across institutional settings” by involving a range of professionals, civic leaders, governmental and non-governmental organisations and community groups in promoting APP [27]. In essence, this describes a community action approach, but little work has been done to conceptualise the elements.

A ‘community action’ approach to promote adoption of APP in the wider community

Community action involves implementing multiple intervention strategies across settings with community participation integral to implementation and maintenance [28]. Community stakeholders collaborate through a coalition to create and implement tailored strategic plans with demonstrated effectiveness in achieving desired change [28]. It is designed to build capacity within communities so members possess the requisite resources and skills to implement intervention strategies themselves [28]. Community action approaches been tested for a range of other health and lifestyle behaviours, including substance-abuse, cardiovascular disease, HIV, physical activity and cancer prevention [28,29,30]. Equivocal findings in addressing defined health and social problems have been reported, with a systematic review of community-based programs highlighting that many had only a modest impact [30]. This is in contrast to the success of this approach when applied to HIV prevention. While acknowledging the potential influence of the nature of the disease and its significant risks, the authors attribute this disparity in part to the poor methodological quality of the former studies [30]. In particular, the use of non-comparative designs; inadequate measures and analytic techniques; potential variation in the extent to which communities are exposed to different strategies; and insufficient follow-up time have prohibited any definitive conclusions being made about the effectiveness of community action approaches [30, 31]. Furthermore, community HIV interventions appear to have benefited from extensive formative research and a greater emphasis on changing social norms. Specifically, programs focused on role modelling, developing a sense of mastery in engaging in risk-reducing behaviours, and reinforcing educational messages [30]. For instance, using peer volunteers to deliver the health messages and tailored interventions and messages to reach various population subgroups rather than just targeting individuals [30]. More broadly, O’Mara and colleagues recommend the following strategies when implementing “community-engagement” interventions: involving community members in the delivery as well as the design of interventions; implementing universal as well as targeted interventions; incorporating active strategies, rather than just relying on passive information; and involving stakeholders outside of health [31]. Finally, a recent Cochrane review of “coalition-driven” interventions suggest that strategies which target health and legal professionals, change policies and procedures, and/or increase system capacity and infrastructure are able to produce small yet consistent results [32]. Providing education and support for at-risk groups via trained peers or professionals has produced consistent, moderate benefits [32].

Well-controlled experimental research needed to test a community action approach APP

The effectiveness and cost-effectiveness of any intervention must be evaluated to maximize health and socio-economic benefits, minimize harms, avoid exacerbation of health inequities and maximize the value of resources [33]. To enable a thorough examination of impact and ensure that the findings produce high quality evidence suitable for translation, trials should include: a robust design to minimise contamination and bias; significant involvement of end-users to ensure responsiveness to consumer needs and relevance to policy and practice; ‘tailoring’ of low-burden, evidence-based strategies that can be implemented across multiple settings; robust outcome and process measures and statistical analysis [33, 34]. Allowing sufficient time for interventions to have an effect has also been highlighted [34]. The following information provides an example of how a community action approach to APP could be implemented and evaluated.

Step 1: Selection of communities

Selection should be guided by specific criteria including that they are: (a) defined in a way that those to whom the results are generalisable can be clearly delineated; (b) large enough to have sufficient resources to implement multiple interventions and small enough to allow observation of effects; (c) geographically distant to minimise the risk of contamination, enhancing methodological rigour; (d) representative of the general population to increase the likelihood that this model can be adopted by other communities; and (iv) potential confounding factors can be minimised [34, 35]. For APP, limiting to a single jurisdiction can avoid confounding based on legislative or structural differences between states.

Step 2: Holding a community forum in each intervention community

An initial approach is made to local government and council representatives by the research team to outline the purpose and nature of the study, and invite a representative to chair the forum. Invitations are sent to other stakeholder groups, including legal firms, general practices, aged care services, hospitals, community organisations, local media, and representatives from government departments with administrative or regulatory oversight [35]. Forums are also advertised via social and online media, as well as via local media and community organisations. Information about the purpose and nature of the planned intervention is presented and the community’s participation requested. Forum attendees are invited to form local Community-based  Coalition Groups.

Step 3: Community-based Coalition Groups are established

Community-based Coalition Groups are established to select, manage and enact intervention strategies. Membership will be dependent on local context, however should include individuals with legitimacy in the community. A first meeting should be held to decide on: roles and responsibilities; format of meetings; barriers and enablers to APP in the community; and the intervention strategies to implement. Standard resource packages can be developed to facilitate implementation and regular support is provided by the team via site visits and videoconference.

Step 4: Coalition group to select and implement intervention strategies

Each Coalition Group is given access to a range of strategies, included based on their feasibility, acceptability, and likelihood of achieving sustainable and meaningful change. The research team provides advice and support to communities to identify and prioritise specific barriers and enablers to APP, and select and implement strategies. The final decision about which strategies to implement rests with the Coalition Group. Some examples of strategies that might be employed include:

Strategy 1: Inter-professional education workshops to promote APP

Inter-professional education in medico-legal issues and communication skills can help address common barriers to APP. For instance, a lack of confidence in capacity assessment and end of life planning among health professionals [16]; and a lack of awareness of the practical realities of healthcare delivery among lawyers [15]. Directed by two facilitators (e.g. a lawyer & health professional from the community), a combination of proactive, practice-oriented strategies (e.g. role-plays), group discussions and feedback can be used to optimise communication skills. Topics might include: benefits of APP; the legal framework, including capacity; and roles and responsibilities of patients, SDMs, lawyers and healthcare providers. Access to a suite of resources can be made available to attendees. For instance, links to existing capacity assessment toolkits; downloadable APP templates and legal health checklists; as well as training modules with self-assessments to demonstrate and reinforce key issues.

Strategy 2: Community APP sessions for older people led by health and legal practitioners

Currently, the quality and nature of the information people receive about APP is likely to vary according to the skills, time, knowledge and personal preferences of the person giving information [8, 16, 36, 55]. Participatory approaches that raise awareness and encourage people to engage in APP while they still have capacity are required. Members of volunteer and community organisations and clients of aged care facilities can be targeted for participation. Eligible organisations are informed about the free APP information session(s) and asked to invite members. Sessions are advertised via local media and community-wide mailouts. Facilitated by trained health and legal professionals, information on the purpose and benefit of APP; legal rights and responsibilities; and techniques for facilitating discussions are presented. Previous studies also highlight the potential benefit of adopting a dyadic approach to APP. Greater emotional support, better relationship quality and having been hospitalised or undergone surgery (for men) has been positively associated with planning; while poor spousal health (among wives) is negatively associated with ACD completion [37, 38]. These studies recommend joint planning sessions involving patients and spouses, with strategies to facilitate discussions between spouses about how to manage the potential impact of poor spousal health on decision-making [38].

Strategy 3: Information for people attending health and legal services regarding APP

Provision of information by professionals (e.g. GPs, lawyers) increases the likelihood that people will adhere to recommended behaviour changes. These professionals are also frequently accessed by the general population. For instance, GPs have access to a high proportion of the population [39]. People are also increasingly seeking legal help, including via telephone advice and advocacy services (83% increase), with wills, powers of attorney, and guardianship issues being the most common problems [40]. Providing information in waiting rooms offers a practical and time-efficient method for promoting APP. Coalition Groups can approach health services and legal firms for consent to place print materials including printed posters in waiting rooms. Information about the potential benefits of APP, local services and additional resources available to assist people to engage can be provided.

Strategy 4: Opportunistic assessment and feedback in health and legal services

Variation in the type and quality of information gathering and transfer can occur as a consequence of time and resource constraints, as well as individuals’ bias. Self-report assessments can be used to improve data integrity by standardising information collected on APP (e.g. willingness to prepare instruments, prior participation) via cross-sectional samples of clients. Data can be measured continuously and responses fed back to professionals in real-time to enable them to encourage or act on clients’ expressed wishes about engaging in APP. Items can also be integrated with questions about other health and lifestyle behaviours; with self-report data confirmed by provider reports (e.g. Step 6). Waiting-room screening and data collection is feasible and acceptable across a broad range of health care settings, including general practices, hospitals and Aboriginal Medical Services [41,42,43,44]. GPs for example are well-placed to integrate this strategy, as the majority of people visit at least once a year, they often have trusted relationships with patients and people are more likely to have the capacity to engage in discussions, when compared to many hospitalised patients or residents of aged care facilities. Completion of surveys is not disruptive to clinic functioning and can be easily incorporated into usual practice [41].

Strategy 5: Public awareness campaigns

Community awareness of the purpose and benefits of APP is limited [45]. Media campaigns can influence social and health behaviours across large populations, by providing focused messages to large audiences repeatedly, over time, and at a low cost per head [46]. Media that uses local data to generate news items may be more effective than relying solely on public service announcements [34]. The purpose of this strategy is to generate a substantive increase in the number of APP-related news items. The benefits of APP and services available to assist in APP preparation can be communicated by: regular advertisements in local newspaper/radio; media releases; short videos played as part of loop advertising at community organisations (e.g. bowling clubs, RSLs); written leaflets distributed via mail outs (e.g. with council rate notices); posters and handouts distributed in public libraries and/or pharmacies.

Step 6: Performance feedback to monitor APP over time

Legal and health professionals (e.g. GPs) in each intervention community can collect data on the number of clients who request, complete or update APP instruments during the intervention period. Data is collected every two months to ensure accuracy, with follow up reminders to enhance adherence. Community-specific data is mapped against previous data to monitor progress and presented to Coalition Groups at ‘feedback sessions’ periodically to aid monitoring of strategies. As there is likely to be variation across communities in rate of improvement, a stepped approach involving a transition from lesser to more intensive strategies may be employed if improvements seen after a defined period [47].

Evaluation of impact community action on uptake and quality of APP

A recent Delphi study highlighted the lack of consensus regarding the most important outcomes that define successful implementation of end of life planning, making it difficult to compare findings across initiatives [48]. This group recommend a broad set of outcomes to evaluate planning initiatives across four domains, including: actions, process, quality of care and health care [49].

Action outcomes

In some countries, such as Australia, no standardised data or formal documentation of uptake currently exists, which can also limit attempts to evaluate the impact of interventions [48, 50]. However, new initiatives for establishing the national prevalence of ACP via audits and self-report surveys are currently being tested [50]. If successful, this may offer an important source of baseline data for trials of APP initiatives, including community action approaches [50]. In the meantime, measures of APP uptake will need to rely on self-report surveys of random samples of people residing in each community at multiple time points. The proportion of APP instruments made (or updated) can be collected and compared across communities. Information on the quality of APP processes, including timing, involvement of others and whether these instruments have been shared with key stakeholders can also be compared. Self-report data can be complemented by routinely collected audit data from health and legal services where available.

Process outcomes

These include outcomes such as individual’s behaviour, beliefs and attitudes [49]. Measures such as the Advance Care Planning Engagement Survey can be included to assess behaviour change domains such as APP knowledge, contemplation, self-efficacy, and readiness [51]. Perceptions of barriers and enablers to APP can be collected via self-report surveys of community members. Surveys of lawyers, health professionals and service managers within target communities can be undertaken to obtain their views about provider- and system-related barriers and enablers to APP and inter-professional collaboration across multiple sectors, including general practice, aged care and acute care.

Quality of care outcomes

Evidence that increased adoption of APP translates to improved end-of-life outcomes, such as concordance between preferred and actual care, higher quality of death and reduced family distress can be difficult to achieve [3]. For instance, there are no validated or ‘gold-standard’ procedures for measuring concordance between preferred and actual care. Real-time assessments are recommended, given changes in preferences and circumstances are likely to occur [49]. Bereavement follow-up undertaken with support persons of those who died under the care of hospitals, residential aged care facilities or palliative care services in target communities may provide an opportunity to explore concordance and quality of care received at the end of life.

Data sources such as applications to guardianship tribunal that involve disputes over medical decision-making for person who lacks capacity and complaints made to hospitals or to bodies like Healthcare Complaints Commissions regarding end of life care issues may also be sought [52].

Health care outcomes

Costs for additional resources required by each intervention strategy, such as time and materials required to deliver the strategies can be estimated; as well as the resources required to translate the intervention strategies to other communities. The cost of delivering community action can be compared to the consequence, defined by completion of APP instruments.

Exposure to intervention strategies

Exposure to intervention strategies should also be collected from intervention community members, health and legal professionals. These include the: (i) number of Coalition Group meetings held and attendance; (ii) number of inter-professional workshops held, number of attendees and attendee-reported content acceptability and utility; (iii) number of community information sessions held, number of attendees and attendee-reported content acceptability and utility; (iv) number of health and legal services providing information in waiting rooms; (iv) proportion of eligible clients screened in legal and health services and number of APP requests; and (v) number of APP-related articles in local media.

Potential advantages and disadvantages of a community action approach to APP

Despite increasing interest in the potential for a community action approach to APP, there has been no rigorous evaluation. This makes it difficult to weigh its value relative to other strategies, such as legislative approaches and individual-directed interventions. There are a number of challenges associated with community action approaches. The multicomponent intervention is likely to have synergistic effects, so it may not be possible to delineate individual contributions of each component in achieving outcomes. Communities may also vary in the level of resources they have available to implement interventions, such as rates of GPs and/or lawyers per capita [34]. This will likely influence how effectively services implement strategies. Efforts should focus on strategies that have the potential to be embedded in routine practice with minimal resources. While there are likely to be difficulties in implementing and evaluating such a large and diffuse intervention, frameworks such as the Medical Research Council’s ‘Framework for design and evaluation of complex interventions to improve health’ can be applied to facilitate and support implementation. However, the first task is to demonstrate that treatment effects can be achieved with community action.

If effective, future research can examine the contribution of individual strategies. Further, national consistency in laws may be desirable to support APP in countries, like Australia, Canada and the USA, where states and provinces have varying laws for advance planning [7]. Legislative variation can cause confusion and uncertainty among healthcare providers which, in turn, is a barrier to engaging people in APP [7, 16]. Sustained improvements in APP practice might also be enhanced if it is linked to policies such as provider reimbursement or accreditation. In 2016, Medicare started reimbursing clinicians for ACP in the USA [53]. In Australia, requirements to have systems for preparing and documenting ACP in the clinical record are included in new mandatory accreditation standards [54]. The impact of these policies is yet to be determined.

Despite these challenges, there are a number of potential advantages of community action in the context of APP. Firstly, it affords communities the opportunity to systematically select, implement and evaluate a menu of effective behaviour change strategies concurrently across multiple sectors of the community [34, 35]. This is particularly promising for APP, given the increasing awareness of the need for health and legal professionals to work together as important sources of APP advice and support for clients [14]. Community action therefore has the potential to bridge service provision to meet peoples’ social, economic and health needs [14]. Offering choice to communities about the strategies they employ can also increase the likelihood of adherence, generalisability and representativeness by encouraging widespread buy-in [34, 35].

Secondly, it demonstrates principles of equity and access as strategies that promote APP to the broad community can be complemented by those targeting underserved groups [28]. For instance, given GPs’ significant population reach and often longstanding, trusted relationships with clients, strategies such as education and training and opportunistic screening can be used to support GPs to routinely encourage APP [55]. In contrast, providing training and resources to Indigenous Health workers in Aboriginal Medical Services might be more effective for promoting APP within this population, as they may be more likely to seek support from this trusted source [56]. Strategies can be implemented simultaneously across settings to enhance effectiveness for the wider community.

Thirdly, utilising multiple strategies that can reach a broader audience and are supported within existing community resources may be more cost-effective and sustainable than previous initiatives. For example, public media campaigns can be reach large audiences repeatedly and at a low cost [46], so may be more likely to be sustained. They can also raise awareness among groups who may not typically be exposed to APP conversations (e.g. younger people). This may prompt earlier conversations and more opportunity to revise choices if/when circumstances change. This can reduce the likelihood of urgent decisions and poorer outcomes [55].

Conclusions

APP is typically delayed until people are imminently dying or during hospital admissions or emergency department visits. However there is increasing recognition that community-wide adoption among those who are otherwise well may have beneficial outcomes without significant adverse effects. Wide uptake of APP has been limited by a failure to ensure adequate mechanisms are in place to allow for a wider cross-section of the community to participate. Previous efforts to improve uptake have focused primarily on increasing the rate at which individuals plan ahead for medical decisions. Often these initiatives have adopted a ‘siloed’ approach, in which initiatives to promote engagement are directed towards patients or professionals in isolation without addressing larger systemic challenges. The proposed community action approach has the potential to reach a broader population in a more timely manner by integrating multiple evidence-based strategies and mobilising support from a range of influential groups. While promising, there is a need for rigorous evidence about whether benefits of this approach outweighs the costs.

Abbreviations

ACD:

Advance care directive

APP:

Advance personal planning

POLST:

Physician Orders for Life-Sustaining Treatment

RPC:

Respecting Patient Choices

SDM:

substitute decision-maker

UK:

United Kingdom

USA:

United States of America

References

  1. Gardiner PA, Byrne GJ, Mitchell LK, Pachana NA. Financial capacity in older adults: a growing concern for clinicians. Med J Aust. 2015;202(2):82–5.

    Article  PubMed  Google Scholar 

  2. Tilse C, Wilson J, White B, Rosenman L, Feeney R. Having the Last Word? Will making and contestation in Australia. In.: University of Queensland; 2015.

  3. Houben CH, Spruit MA, Groenen MT, Wouters EF, Janssen DJ. Efficacy of advance care planning: a systematic review and meta-analysis. J Am Med Dir Assoc. 2014;15(7):477–89.

    Article  PubMed  Google Scholar 

  4. Green MJ, Schubart JR, Whitehead MM, Farace E, Lehman E, Levi BH. Advance care planning does not adversely affect hope or anxiety among patients with advanced Cancer. J Pain Symptom Manag. 2015;49(6):1088–96.

    Article  Google Scholar 

  5. Silveira MJ, Kim SY, Langa KM. Advance directives and outcomes of surrogate decision making before death. N Engl J Med. 2010;362(13):1211–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Osborn R, Moulds D, Squires D, Doty MM, Anderson C. International survey of older adults finds shortcomings in access, coordination, and patient-centered care. Health Aff (Millwood). 2014;33(12):2247–55.

    Article  Google Scholar 

  7. White B, Cartwright C, Parker M, Williams G. Doctors’ knowledge of the law on withholding and withdrawing life-sustaining medical treatment. MJA. 2014;201(4):229–32.

    PubMed  Google Scholar 

  8. Bernacki RE, Block SD. Communication about serious illness care goals: a review and synthesis of best practices. JAMA Intern Med. 2014;174(12):1994–2003.

    Article  PubMed  Google Scholar 

  9. Mack JW, Cronin A, Taback N, Huskamp HA, Keating NL, Malin JL, Earle CC, Weeks JC. End-of-life care discussions among patients with advanced Cancer a cohort study. Ann Intern Med. 2012;156(3):204–U265.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Sharp T, Moran E, Kuhn I, Barclay S. Do the elderly have a voice? Advance care planning discussions with frail and older individuals: a systematic literature review and narrative synthesis. Br J Gen Pract. 2013;63(615):e657–68.

    Article  PubMed  PubMed Central  Google Scholar 

  11. White B, Tilse C, Wilson J, Rosenman L, Strub T, Feeney R, Silvester W. Prevalence and predictors of advance directives in Australia. Intern Med J. 2014;44(10):975–80.

    Article  CAS  PubMed  Google Scholar 

  12. Luckett T, Bhattarai P, Phillips J, Agar M, Currow D, Krastev Y, Davidson PM. Advance care planning in 21st century Australia: a systematic review and appraisal of online advance care directive templates against national framework criteria. Aust Health Rev. 2015;39(5):552–60.

    Article  PubMed  Google Scholar 

  13. Martin RS, Hayes B, Gregorevic K, Lim WK. The effects of advance care planning interventions on nursing home residents: a systematic review. J Am Med Dir Assoc. 2016;17(4):284–93.

    Article  PubMed  Google Scholar 

  14. Ries NM, Douglas M, Simon J, Fassbender K. Doctors, lawyers and advance care planning: time for innovation to work together to meet client needs. Healthc Policy. 2016;12(2):12–8.

    PubMed  PubMed Central  Google Scholar 

  15. Purser KJ, Rosenfeld T. Evaluation of legal capacity by doctors and lawyers: the need for collaborative assessment. Med J Aust. 2014;201(8):483–5.

    Article  PubMed  Google Scholar 

  16. Cartwright C, Montgomery J, Rhee J, Zwar N, Banbury A. Medical practitioners’ knowledge and self-reported practices of substitute decision making and implementation of advance care plans. Intern Med J. 2014;44(3):234–9.

    Article  CAS  PubMed  Google Scholar 

  17. Sessums LL, Zembrzuska H, Jackson JL. Does this patient have medical decision-making capacity? JAMA. 2011;306(4):420–7.

    Article  CAS  PubMed  Google Scholar 

  18. Helmes E, Lewis VE, Allan A. Australian lawyers’ views on competency issues in older adults. Behav Sci Law. 2004;22(6):823–31.

    Article  CAS  PubMed  Google Scholar 

  19. Lund S, Richardson A, May C. Barriers to advance care planning at the end of life: an explanatory systematic review of implementation studies. PLoS One. 2015;

  20. Miles SH, Koepp R, Weber EP. Advance end-of-life treatment planning. A research review. Arch Intern Med. 1996;156:1062–8.

    Article  CAS  PubMed  Google Scholar 

  21. Pauls MA, Singer PA, Dubinsky I. Communicating advance directives from long-term care facilities to emergency departments. J Emerg Med. 2001;21:83–9.

    Article  CAS  PubMed  Google Scholar 

  22. Sudore RL, Boscardin J, Feuz MA, McMahan RD, Katen MT, Barnes DE. Effect of the prepare website vs an easy-to-read advance directive on advance care planning documentation and engagement among veterans: a randomized clinical trial. JAMA Intern Med. 2017;

  23. Epstein RM, Duberstein PR, Fenton JJ, Fiscella K, Hoerger M, Tancredi DJ, Xing G, Gramling R, Mohile S, Franks P, et al. Effect of a patient-centered communication intervention on oncologist-patient communication, quality of life, and health care utilization in advanced Cancer: the VOICE randomized clinical trial. JAMA Oncol. 2017;3(1):92–100.

    PubMed  PubMed Central  Google Scholar 

  24. Blackford J, Street A. Is an advance care planning model feasible in community palliative care? A multi-site action research approach. J Adv Nurs. 2012;68(9):2021–33.

    Article  PubMed  Google Scholar 

  25. Hammes BJ, Rooney BL. Death and end-of-life planning in one midwestern community. Arch Intern Med. 1998;158(4):383–90.

    Article  CAS  PubMed  Google Scholar 

  26. Schmidt TA, Zive D, Fromme EK, Cook JN, Tolle SW. Physician orders for life-sustaining treatment (POLST): lessons learned from analysis of the Oregon POLST registry. Resuscitation. 2014;85(4):480–5.

    Article  PubMed  Google Scholar 

  27. Institute of Medicine. Dying in America: improving quality and honoring individual preferences near the end of life. USA: IOM; 2014.

  28. Hennessey Lavery S, Smith ML, Esparza AA, Hrushow A, Moore M, Reed DF. The community action model: a community-driven model designed to address disparities in health. Am J Public Health. 2005;95(4):611–6.

    Article  PubMed  PubMed Central  Google Scholar 

  29. March S, Torres E, Ramos M, Ripoll J, Garcia A, Bulilete O, Medina D, Vidal C, Cabeza E, Llull M, et al. Adult community health-promoting interventions in primary health care: a systematic review. Prev Med. 2015;76(Suppl):S94–104.

    Article  PubMed  Google Scholar 

  30. Merzel C, D’Afflitti J. Reconsidering community-based health promotion: promise, performance, and potential. Am J Public Health. 2003;93(4):557–74.

    Article  PubMed  PubMed Central  Google Scholar 

  31. O’Mara-Eves A, Brunton G, Oliver S, Kavanagh J, Jamal F, Thomas J. The effectiveness of community engagement in public health interventions for disadvantaged groups: a meta-analysis. BMC Public Health. 2015;15(1):129.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Anderson LM, Adeney KL, Shinn C, Safranek S, Buckner-Brown J, Krause LK. Community coalition-driven interventions to reduce health disparities among racial and ethnic minority populations. Cochrane Database Syst Rev. 2015;6:CD009905.

    Google Scholar 

  33. Sanson-Fisher RW, D'Este CA, Carey ML, Noble N, Paul CL. Evaluation of systems-oriented public health interventions: alternative research designs. Annu Rev Public Health. 2014;35:9–27.

    Article  PubMed  Google Scholar 

  34. Shakeshaft A, Doran C, Petrie D, Breen C, Havard A, Abudeen A, Harwood E, Clifford A, D'Este C, Gilmour S, et al. The effectiveness of community action in reducing risky alcohol consumption and harm: a cluster randomised controlled trial. PLoS Med. 2014;11(3):e1001617.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Hancock L, Sanson-Fisher R, Redman S, Burton R, Burton L, Butler J, Gibberd R, Girgis A, Hensley M, Mcclintock A, et al. Community action for cancer prevention: overview of the Cancer action in rural towns (CART) project, Australia. Health Promot Internation. 1996;11(4):277–90.

    Article  Google Scholar 

  36. Torke AM, Siegler M, Abalos A, Moloney RM, Alexander GC. Physicians’ experience with surrogate decision making for hospitalized adults. J Gen Intern Med. 2009;24(9):1023–8.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Moorman SM, Carr D, Boerner K. The role of relationship biography in advance care planning. J Aging Health. 2014;26(6):969–92.

    Article  PubMed  Google Scholar 

  38. Koss CS. Beyond the individual: the interdependence of advance directive completion by older married adults. J Am Geriatr Soc. 2017;65(7):1615–20.

    Article  PubMed  Google Scholar 

  39. Australian Bureau of Statistics. 4839.0 - Patient experiences in Australia: summary of findings, 2016-17. 2017. Canberra.

  40. Coumarelos C, Macourt D, People J, McDonald HM, Wei Z, Iriana R, Ramsey S. Access to justice and legal needs, vol. 7. Law and Justice Foundation of NSW: Sydney; 2012.

    Google Scholar 

  41. Paul C, Carey M, Yoong SL, D'Este C, Makeham M, Henskens F. Access to chronic disease care in the general practice setting: the acceptability of implementing systematic waiting room screening using computer-based patient-reported risk status. B J Gen Prac. 2013;63(614):e620–6.

  42. Carey M, Jones K, Meadows G, Sanson-Fisher R, D’Este C, Inder K, Yoong SL, Russell G. Accuracy of general practitioner unassisted detection of depression. Aust N Z J Psychiatr. 2014;48(6):571–8.

    Article  Google Scholar 

  43. Noble NE, Paul CL, Carey ML, Sanson-Fisher RW, Blunden SV, Stewart JM, Conigrave KM. A cross-sectional survey assessing the acceptability and feasibility of self-report electronic data collection about health risks from patients attending an aboriginal community controlled health service. BMC Med Inform Decis Mak. 2014;14(1):34.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Yoong SL, Carey ML, Sanson-Fisher RW, D'Este CA, Mackenzie L, Boyes A. A cross-sectional study examining Australian general practitioners’ identification of overweight and obese patients. J Gen Intern Med. 2014;29(2):328–34.

    Article  PubMed  Google Scholar 

  45. Jeong S, Ohr S, Pich J, Saul P, Ho A. ‘Planning ahead’ among community-dwelling older people from culturally and linguistically diverse background: a cross-sectional survey. J Clin Nurs. 2015;24(1–2):244–55.

    Article  PubMed  Google Scholar 

  46. Wakefield MA, Loken B, Hornik RC. Use of mass media campaigns to change health behaviour. Lancet. 2010;376(9748):1261–71.

    Article  PubMed  PubMed Central  Google Scholar 

  47. van’t Veer-Tazelaar P, Smit F, van Hout H, van Oppen P, van der Horst H, Beekman A, van Marwijk H. Cost-effectiveness of a stepped care intervention to prevent depression and anxiety in late life: randomised trial. Br J Psychiatry. 2010;196(4):319–25.

    Article  PubMed  Google Scholar 

  48. Rietjens JAC, Sudore RL, Connolly M, van Delden JJ, Drickamer MA, Droger M, van der Heide A, Heyland DK, Houttekier D, Janssen DJA, et al. Definition and recommendations for advance care planning: an international consensus supported by the European Association for Palliative Care. The Lancet Oncology. 2017;18(9):e543–51.

    Article  PubMed  Google Scholar 

  49. Sudore RL, Heyland DK, Lum HD, Rietjens JAC, Korfage IJ, Ritchie CS, Hanson LC, Meier DE, Pantilat SZ, Lorenz K, et al. Outcomes that define successful advance care planning: a Delphi panel consensus. J Pain Symptom Manag. 2017;

  50. Ruseckaite R, Detering KM, Evans SM, Perera V, Walker L, Sinclair C, Clayton JM, Nolte L. Protocol for a national prevalence study of advance care planning documentation and self-reported uptake in Australia. BMJ Open. 2017;7(11):e018024.

    PubMed  PubMed Central  Google Scholar 

  51. Sudore RL, Stewart AL, Knight SJ, McMahan RD, Feuz M, Miao Y, Barnes DE. Development and validation of a questionnaire to detect behavior change in multiple advance care planning behaviors. PLoS One. 2013;8(9):e72465.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. White BP, Tilse C, Wilson J, Rosenman L, Purser K, Coe S. Estate contestation in Australia: an empirical study of a year of case law. University of New South Wales Law Journal. 2015;38(3):880–910.

    Google Scholar 

  53. Tsai G, Taylor DH. Advance care planning in Medicare: an early look at the impact of new reimbursement on billing and clinical practice. BMJ Support Palliat Care. 2018;8(1):49–52.

    Article  PubMed  Google Scholar 

  54. Dunbar N, Hill J. Using mandatory national safety and quality standards to embed advance care planning in practice. BMJ Support Palliat Care. 2012;2(2):176–7.

    Article  Google Scholar 

  55. Scott I: Difficult but necessary conversations — the case for advance care planning. 199 2013, 10(662–666).

  56. Sinclair C, Williams G, Knight A, Auret K. A public health approach to promoting advance care planning to aboriginal people in regional communities. Aust J Rural Health. 2014;22(1):23–8.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the assistance of Angela Smith from HNE Health Libraries who assisted with refining and conducting the literature search.

Funding

AW is supported by an Australian Research Council DECRA (150101262). JB is funded by an NHMRC/ARC Dementia Fellowship. This research was also supported by a Strategic Research Partnership Grant (CSR 11–02) from Cancer Council NSW to the Newcastle Cancer Control Collaborative (New-3C), and infrastructure funding from Hunter Medical Research Institute.

Author information

Authors and Affiliations

Authors

Contributions

AW and RSF conceived the paper; AW led the drafting of the manuscript; RSF, NR and JB reviewed and provided critical input on each draft. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Amy Waller.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Waller, A., Sanson-Fisher, R., Ries, N. et al. Increasing advance personal planning: the need for action at the community level. BMC Public Health 18, 606 (2018). https://doi.org/10.1186/s12889-018-5523-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-018-5523-5

Keywords