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Factors influencing older adults to complete advance directives

Published online by Cambridge University Press:  27 September 2010

Gloria J. Alano*
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York
Renee Pekmezaris
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York The Bette and Jerome Lorber Center for the Advancement of Medical Education, New Hyde Park, New York
Julia Y. Tai
Affiliation:
The Feinstein Institute for Medical Research, Manhasset, New York
Mohammed J. Hussain
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York
Jose Jeune
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York
Betina Louis
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York
Gabriel El-Kass
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York
Muhammad S. Ashraf
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York
Roopika Reddy
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York
Martin Lesser
Affiliation:
The Feinstein Institute for Medical Research, Manhasset, New York
Gisele P. Wolf-Klein
Affiliation:
North Shore Long Island Jewish Health System, New Hyde Park, New York The Bette and Jerome Lorber Center for the Advancement of Medical Education, New Hyde Park, New York
*
Address correspondence and reprint requests to: Gloria J. Alano, North Shore Long Island Jewish Health System, Division of Geriatrics, 270-05 76th Avenue, New Hyde Park, NY 11040. E-mail: gloriajmd@yahoo.com
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Abstract

Objective:

The purpose of this study was to determine the factors which influence advance directive (AD) completion among older adults.

Method:

Direct interviews of hospitalized and community-dwelling cognitively intact patients >65 years of age were conducted in three tertiary teaching settings in New York. Analysis of AD completion focused on its correlation with demographics, personal beliefs, knowledge, attitudes, and exposure to educational media initiatives. We identified five variables with loadings of at least 0.30 in absolute value, along with five demographic variables (significant in the univariate analyses) for multiple logistic regression. The backward elimination method was used to select the final set of jointly significant predictor variables.

Results:

Of the 200 subjects consenting to an interview, 125 subjects (63%) had completed ADs. In comparing groups with and without ADs, gender (p < 0.0002), age (p < 0.0161), race (p < 0.0001), education (p < 0.0039), and religion (p < 0.0104) were significantly associated with having an AD. Factors predicting AD completion are: thinking an AD will help in the relief of suffering at the end of life, (OR 76.3, p < 0.0001), being asked to complete ADs/ or receiving explanation about ADs (OR 55.2, p < 0.0001), having undergone major surgery (OR 6.3, p < 0.0017), female gender (OR 11.1, p < 0.0001) and increasing age (76–85 vs. 59–75: OR 3.4, p < 0.0543; <85 vs. 59–75: OR 6.3, p < 0.0263).

Significance of results:

This study suggests that among older adults, the probability of completing ADs is related to personal requests by health care providers, educational level, and exposure to advance care planning media campaigns.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2010

INTRODUCTION

The Patient Self-Determination Act (PSDA) requires that all healthcare institutions receiving Medicare and Medicaid funding inform patients about their right to participate in healthcare decisions, including their right to have an advance directive (AD) (Baker, Reference Baker2002). Aggressive programs to implement the requirements of the law have been carried out among different healthcare settings, and all 50 states have enacted legislation supporting ADs.

Despite recent initiatives to support the completion of advance directives for older adults, recent studies indicate that only 9 to 20% of the general population has completed ADs (Hopp, Reference Hopp2000). In terms of setting-specific estimates, a study that examined predictors of AD completion by community-dwelling seniors receiving services at Senior Centers in New York City showed that 35% reported having completed an AD. This estimate did not vary significantly by ethnicity. Primary predictors of AD completion were: an established relationship between the primary care physician and the patient, personal experience with mechanical ventilation, knowledge about the process of advance care planning, and physicians' willingness to effectively initiate such discussions (Morrison & Meier, Reference Morrison and Meier2004).

A number of studies have documented correlations between age, ethnicity, education, insurance coverage, and income with AD completion (Eleazer et al., Reference Eleazer, Hornung and Egbert1996; Hanson & Rodgman, Reference Hanson and Rodgman1996; Murphy et al., Reference Murphy, Palmer and Azen1996; Gordon & Shade, Reference Gordon and Shade1999; Braun et al., Reference Braun, Onaka and Horiuchi2001).

In terms of barriers to AD completion, a number of factors have been identified to explain physicians' reluctance to addressing end-of life care. An earlier study by Morrison et al. (Reference Morrison, Morrison and Glickman1994) proposed five essential barriers, specifically: physicians' lack of understanding of ADs, erroneous beliefs about appropriateness, discomfort with the subject, time constraints, and compensation concerns. Other physicians' barriers include personal attitudes, religion as well as ethnicity (Wallace et al., Reference Wallace, Weiner and Pekmezaris2007). Indeed, the resistance of physicians to communicate with their patients on end-of life issues appears to be a worldwide phenomenon, transcending gender, education, and subspecialties (Mebane et al., Reference Mebane, Oman and Kroonen1999; Hinkka, Reference Hinkka, Kosunen and Metsanoja2002). In addition, there is also extensive literature exploring patients' barriers to AD completion when approached by their healthcare practitioners. These barriers are often associated with ethnic and cultural issues pertaining to end-of-life care (Bayer et al., Reference Bayer, Mallinger and Krishnan2006; Eleazer et al., Reference Eleazer, Hornung and Egbert1996; Morrison et al., Reference Morrison, Zayas and Mulvihill1998; Phipps et al., Reference Phipps, True and Harris2003; McAdam et al., Reference McAdam, Stotts and Padilla2005; Bullock, Reference Bullock2006; Troyer et al., Reference Troyer and McAuley2006; Zapka et al., Reference Zapka, Carter and Carter2006; Kwak et al., Reference Kwak and Salmon2007).

One of the first large studies to improve end-of-life decision making, the SUPPORT (The Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments) study, was geared specifically to hospitalized patients with one or more serious illnesses. Enhancing opportunities for more patient–physician communication did not necessarily lead to improved AD rates or improved implementation of end-of-life wishes. It is possible that the SUPPORT intervention would have been more effective if the patient–physician communication had occurred much earlier in the course of the illness (The SUPPORT principal investigators, 1995).

Other studies have addressed the concerns of specific patient cohorts, such as dementia patients, or those with chronic kidney disease requiring long-term dialysis (Foti et al., Reference Foti, Bartels and Van Citters2005; Perry et al., Reference Perry, Swartz and Brown2005).

Mezey et al.'s (Reference Mezey, Leitman and Mitty2000) study cited the most frequent reasons for execution of ADs. These were: (1) wanting to make up one's own mind (2) feeling that it would help their family if the family decision makers knew what they wanted, and (3) not wanting to be kept alive with tubes, wires, and in a coma. These reasons varied somewhat with regard to race, language spoken, education, income, and health insurance.

In 2007, Campbell identified behavioral conceptual frameworks and the triadic influences of selected personal, cognitive, and environmental factors on decision making concerning ADs among community-dwelling older adults, identifying specifically positive attitude and health literacy as significant factors in the likelihood of completing distributed ADs (Campbell et al., Reference Campbell, Edwards and Ward2007). Campbell's study chose to utilize a theoretical framework, rather than a patient-centered approach which would directly reflect patients' concerns and individual choices for completing their ADs.

Our study employed a direct approach to understand the process of AD completion. Rather than review the barriers to AD completion alone, we explored those factors that might actually encourage patients to proceed with addressing end-of-life issues and complete formal documents to that effect. The specific focus of our study was to explore these factors in older adults and in three different clinical settings, including community residence, nursing homes and hospitals.

METHOD

This prospective study was conducted through direct, face-to-face interviews with hospitalized patients, nursing home residents, and community-dwelling seniors with regard to their wishes for end-of-life care. The survey questionnaire was modeled after Mezey et al.'s comprehensive Patient Survey Instrument (PSI), originally developed for the purpose of studying reasons for execution of ADs in the hospital setting, and Llovera's study of barriers to AD completion in the emergency room setting (Llovera et al., Reference Llovera, Ward and Ryan1999; Mezey et al., Reference Mezey, Leitman and Mitty2000). In addition, questions were added with regard to the patient's previous exposure to end-of-life information, individual beliefs, and factual experience with the healthcare system.

The survey queried patient demographics, factors associated with AD completion, types of ADs executed, and factors influencing AD execution, as well as barriers to AD completion. Data were collected over a 2 month period, beginning in September 2008.

Patients were given a choice to either complete the questionnaire independently or to have the investigator assist them with questionnaire completion. Older adults (≥65 years of age) in three different settings, namely: (1) acute care patients hospitalized (Long Island Jewish Medical Center, North Shore University Hospital, and Forest Hills Hospital), (2) treated in a community setting (North Shore Long Island Jewis Geriatric Faculty Practice, New Hyde Park), and (3) admitted in subacute setting (Stern Family Center for Extended Care and Rehabilitation) were included in the study. Institutional review board (IRB) approval was obtained for each setting.

AD completion was defined, for the purpose of this study, as execution of any one of the following documents: living will, health care proxy or durable power of attorney for health care, MOLST (Medical Orders for Life Sustaining Treatment), DNR (Do Not Resuscitate), and/or DNI (Do Not Intubate).

The investigators met with the nurse manager assigned to each medical/surgical unit, or to the outpatient practice, to gather the names of subjects >65 years of age who were cognitively intact as per clinical documentation. The investigators then approached prospective subjects in the hospital room or in their examining room and obtained informed consent. The investigators remained in the room while the subject completed the survey, to assist with any questions.

Statistical Methods

As a first step, the association between AD completion and the questionnaire variables was examined using the Fisher's exact test, except for regarding age group, which was analyzed using the Jonckheere-Terpstra test. In order to build a multivariable model that would predict AD completion, it was necessary to reduce the number of predictor variables to be considered. This was accomplished by first combining some variables together and then by applying principal components analysis (PCA) as follows: Based on a correlation analysis of the 31 binary questionnaire variables, there were three groups of highly correlated questions. The first group of correlated variables reflect the construct of being solicited about AD completion (“somebody explained to me the importance of advance directives” and “I have been asked to complete my advance directive”). The second group reflected patient confidence in their healthcare professionals (“I am confident that my physician will abide by my wishes” and “I am confident that my nurses and other healthcare professionals will abide by my wishes”). The third group focused upon the concept of lack of information regarding ADs (“Nobody has spoken to me about the importance of advance directives,” “I need more information about advance directives,” and “I have never heard about advance directives in the past”). By combining the questions within each group into three “new combined” questions, the end result yielded 27 binary questions.

PCA was then applied to the 27 binary variables. Whereas it is recognized that PCA is generally applied to continuous variables, in this case, the results of the PCA were intuitively appealing and made practical sense. The scree plot revealed that only the first principal component need be considered. We identified variables with loadings of at least 0.30 in absolute value and chose those variables, along with demographic variables (significant in the univariate analyses), as candidates for a multiple logistic regression model. The backward elimination method was used to select the final set of jointly significant predictor variables.

RESULTS

Characteristics of All Subjects

Two hundred subjects completed the surveys; the majority of surveys (84%) were collected from patients hospitalized or receiving subacute care rehabilitation in an institutionalized setting. The remaining 16% were obtained from patients treated in a geriatric outpatient setting. Most respondents were female (58%), Caucasian (66%), Catholic (42%), and married (46%), and 76–85 years of age (47%) (Table 1). Respondents were, in general, educated, with 87% reporting at least a high school diploma. In terms of income, 53% reported earning <$35,000 per year.

Table 1. Patient characteristics

Association between AD Completion and Demographic Variables

Of the 200 interviews, 125 subjects (63%) reported having completed ADs. In comparing groups with and without ADs, the following demographic factors were significantly associated with having an AD (Table 2):

  1. 1. Gender: of those subjects reporting AD completion, 68% were female, compared to 41% in the non-completion group (p < 0.0002).

  2. 2. Race: the prevalence of Caucasians in the AD completion group was much greater than in the non-completion group (78% vs. 45%, p < 0.0001).

  3. 3. Education: in the AD completion group, 93% of subjects had received at least a high school education, compared to 78% in the non-completion group (p < 0.0039).

  4. 4. Religion: the AD completion group was more likely to be Catholic (45% vs. 37%) or Jewish (31% vs. 19%, p < 0.0104).

  5. 5. Age: in the AD completion group, subjects were more likely to be ≥85 years of age (26% vs. 16%, p < 0.016).

Table 2. Comparison of demographic characteristics among respondents with and without ADs

Age was also found to be associated with higher rates of AD completion. Approximately 30% of subjects had an AD completed by age 65. An additional 35% executed ADs by age 75 and 96% of them had completed ADs by age 85 (Figure 1).

Fig. 1. Age of patient at time of AD completion (N = 125).

Other demographic variables, such as income level, marital status, and parental status were not significantly associated with AD completion status.

In terms of patient care settings, there were no significant differences between patients receiving formalized care in acute or subacute facilities and community-dwelling patients. Sixty three percent (106/168) of patients in acute/subacute facilities reported having ADs, whereas 59% (19 of 32) of the community-dwelling patients reported having ADs.

Association between AD Completion and Knowledge, Attitudes, and Beliefs (Univariate Analysis)

For both groups, the vast majority stated that they were “confident that their family (99% vs. 97%), and their physician (98% vs. 93%) would abide by their wishes.” Patients with ADs reported having significantly more confidence in their nurses and other healthcare professionals abiding by their wishes than those without ADs (98% vs. 90%, p < 0.0135) (Table 3).

Table 3. Comparison of knowledge, attitudes, and beliefs of older adults with and without ADs

Other factors associated with having an AD were: being asked to complete an AD (81% vs. 26%, p < 0.0001), and receiving an explanation about the importance of ADs (86% vs. 41 %, p < 0.0001). Most subjects reporting having an AD had undergone major surgery (83% vs. 58%, p < 0.0002). Another significant factor between the groups was having seen mass media information about ADs (77% vs. 37 %, p < 0.0001). In addition, subjects with ADs reported “needing control over their medical treatment” (97% vs. 80%, p < 0.0004), “not wanting to be kept alive if in a coma” (89% vs. 71%, p < 0.0021), feeling that an “AD would help in the relief of suffering at the end of life” (98% vs. 68%, p < 0.0001), and “thinking it would help their family if their wishes are known” (99% vs. 91%, p < 0.0090).

Those patients who reported knowing that they could change ADs in the future were more likely to report having an AD (87% vs. 67%, p < 0.0009. Relatively few subjects in either group reported that ADs were against their religion (3% of those subjects with ADs vs. 4% of those subjects without ADs).

Association between AD Completion and Knowledge, Attitudes, and Beliefs (Multivariable Analysis)

Based on the PCA, the following knowledge, attitudes and beliefs variables were considered as candidates for the multivariate analysis: “Somebody explained to me the importance of advance directives,” “ I have been asked to complete advance directives,” “Advance directive will help me in the relief of suffering at end-of-life,” “I have had major surgery”; and “Nobody has spoken to me about the importance of advance directives,” “I need more information about advance directives,” “I've never heard about advance directives in the past.”

In addition, the following demographic variables were also included: gender, age, ethnicity, religion, and education. A multiple logistic regression model resulted in identifying specific variables associated with completing an AD (Table 4). This analysis showed that the odds ratios for completing an AD were significantly associated with “being asked to complete an advance directive” (OR = 55.2, p < 0.0001); “thinking an advance directive will help in the relief of suffering” (OR = 76.3, p < 0.0001); “having had major surgery” (OR = 6.3, p < 0.0017); “having never heard of or received information about advance directives” (OR = 0.2, p < 0.0082); female gender (OR = 11.1, p < 0.0001); increasing age (76–85 vs. 59–75, OR = 3.4, p < 0.0543; age >85 vs. 59–75, OR = 6.3, p < 0.0263).

Table 4. Predictors of completion of ADs among older adults

Types of ADs Executed and Factors Influencing AD Execution

Those subjects with ADs reported having executed the following specific documents: Health Care Proxy (89%), Living Will (85%), DNR (59%), DNI (49%), and Medical Orders for Life Sustaining Treatment (MOLST) 7%. Only a very small percentage (3%) reported not being sure of the details of the type of AD completed (Figure 2).

Fig. 2. Types of ADs completed (N = 125).

When asked who had the strongest influence in encouraging them to complete ADs, the most frequent answer was “children” (34%), followed by “self-decision” (22%), and “spouse” (17%). Surprisingly, healthcare providers were reported as “primarily influential” only 8% of the time (Figure 3). Indeed, when asked specifically who, among their healthcare providers, influenced them the most in completing ADs, 73% did not identify any healthcare provider, with 5% recognizing influence from their primary care physician, 3% from their respective specialist, 3% from their nurses, and 2% from their social workers.

Fig. 3. Persons most influential in completion of ADs (N = 125).

Barriers to AD Completion

Those patients with a lower rate of AD completion also reported not having been spoken to about the importance of ADs, compared with those patients who had completed AD (56% vs.12%, p < 0.0001). In addition, patients who identified the need for more information were less likely to report having completed ADs (55% vs. 16%, p < 0.0001). Likewise, patients who reported never having heard of ADs were less likely to report having an AD (49% vs. 11%, p < 0.0001). Interestingly, patients who would rather have their physicians make AD decisions for them were less likely to report having an AD (15% vs. 6%, p < 0.0383). Finally, those who reported they wanted to complete ADs but hadn't gotten around to doing it were also less likely to report having an AD (39% vs. 5%, p < 0.0001) (Table 5).

Table 5. Comparison of responses of older adults with and without ADs

DISCUSSION

The primary purpose of this study was to identify demographic, social, and clinical factors most strongly associated with AD completion in older adults. A recent meta-analysis has shown that passive education of patients using written materials without direct counseling is a relatively ineffective method for increasing AD completion (Ramsaroop et al., Reference Ramsaroop, Reid and Adelman2007). It also found that the most successful interventions incorporate direct patient–healthcare professional interactions over multiple visits. Indeed, Morrison et al. (Reference Morrison, Chinchin and Carter2005) had demonstrated the effect of a social work intervention to enhance the documentation of ADs in nursing facilities. In Reference Lindner, Davoren and Vollmer2007, Lindner et al. documented the impact of using a targeted electronic medical record intervention, to increase the frequency of AD orders in a VA nursing facility.

Our research, designed as a non-interventional study, confirmed the strong positive correlation between AD completion and having ADs explained by health care providers. Our data further emphasized that a request by a healthcare provider to complete ADs was one of the major factors in helping older patients with the decision process of AD completion. In a recent study by Nicolasora et al. (Reference Nicolasora, Pannala and Mountantonakis2006), an impressive 98% of 297 critically ill hospitalized patients were willing to discuss CPR and mechanical ventilation. More recently, Bravo conducted a systematic review and multi-level analysis study on the effectiveness of interventions to promote ADs among older adults. He identified the provision of oral information over multiple sessions as the most successful intervention (Bravo et al., Reference Bravo, Dubois and Wagneur2008)

Our study supported previously published data on the impact of demographic factors such as race and educational level on AD completion. On the other hand, our findings did not correlate higher income with an increased rate of AD completion.

For both groups, the vast majority stated that they were “confident” that their family, nurses, and physicians would abide by their wishes. This level of confidence, however, is not supported by the AD literature. A study by Sonnenblick et al. (Reference Sonnenblick, Friedlander and Steinberg1993) revealed that ~50% of offspring did not follow the parents' wishes, even though they believed they were aware of them. In addition, Zweibel et al. (Reference Zweibel and Cassel1989), found significant end-of-life treatment discrepancies between decisions of the health care proxy and the decisions of the patients they represent, with discrepancies ranging between 24 and 50%.

With regard to specific personal influence on end-of-life decisions, healthcare providers, along with the lawyers, were the least influential in encouraging older patients to complete ADs. It appears from previous research (Puchalski et al., Reference Puchalski, Zhong and Jacobs2000) that the role of the physician is important to the patient when they are critically ill (specifically, requiring resuscitation) but the family plays a pivotal role in both the decision to complete ADs and at the time of decision-making regarding resuscitation.

Those who completed ADs believed their family would be helped if they knew their wishes. In contrast, both groups positively report a good social support system and believe that their family or friends will be able to decide what to do even without an AD.

Future initiatives may benefit from targeting the children and spouses of patients in advance care planning, since they play a major role (51% reported a child or spouse as the most influential person in the completion of ADs).

Finally, our study parallels the findings of Singer et al. (Reference Singer, Martin and Kelner1999): subjects that report completing ADs want to achieve a sense of control and believe it will help relieve family burdens. They also report that AD completion will curtail the dying process. The literature shows that patients who are hospitalized are more likely to discuss ADs (Reilly et al., Reference Reilly, Wagner and Magnussen1995). Our study supports this finding, in that the groups with ADs have a higher rate of having undergone major surgery (83% vs. 58%). However, AD completion rate did not differ significantly among community-dwelling, acute, and sub-acute care settings.

Our study findings showed patients' perception of their relative health did not matter significantly between those with and without ADs. This result is not inconsistent with previous research that finds that patients want their primary care physician to initiate advance care planning while they are in good health (Maxfield et al., Reference Maxfield, Pohl and Colling2003).

Study Limitations

It is important to note that the population from which our sample was taken was not representative of the population of New York City as a whole. The sample consisted of patients >65 years of age who were institutionalized for acute or subacute care within four facilities in the New York metropolitan area, or were seen in a single large geriatric practice on the Queens/Nassau County border. One limitation of this study is that we did not gather information regarding patients approached who refused survey participation.

CONCLUSION

Our study targeted the cognitively intact older population to better understand their priorities in making decisions about ADs for themselves. A multiple logistics regression revealed seven factors predicting AD completion: (1) being asked to complete an AD; (2) having someone explain the importance of ADs; (3) thinking an AD will help in the relief of suffering; (4) having had major surgery; (5) “having never heard of or received information about ADs”; (6) female gender; (7) and increasing age.

Healthcare professionals can play a major role in improving the AD rate of completion in older patients by approaching them about ADs, explaining the importance of the role of ADs and, most importantly, asking them to complete ADs.

In addition, because older patients appear to rely on their family members (specifically, children and spouses) in their decision making process, educational programming geared toward caregivers and relatives about the importance of AD completion is warranted.

ACKNOWLEDGMENTS

The authors thank the following individuals for their contributions in this study: Ms. Rajni Walia, Mr. Christian Nouryan, Ms. Marie Ilagan and Ms. Doreen Devins. We also thank the patients in the following institutions who agreed to participate in our study: Stern Family Extended Care and Rehabilitation, North Shore University Hospital, North Shore Long Island Jewish Hospital, Forest Hills Hospital, and North Shore Geriatrics Faculty Practice.

References

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Figure 0

Table 1. Patient characteristics

Figure 1

Table 2. Comparison of demographic characteristics among respondents with and without ADs

Figure 2

Fig. 1. Age of patient at time of AD completion (N = 125).

Figure 3

Table 3. Comparison of knowledge, attitudes, and beliefs of older adults with and without ADs

Figure 4

Table 4. Predictors of completion of ADs among older adults

Figure 5

Fig. 2. Types of ADs completed (N = 125).

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Fig. 3. Persons most influential in completion of ADs (N = 125).

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Table 5. Comparison of responses of older adults with and without ADs