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Knowledge and attitude towards advance directives for patients with terminal illnesses among doctors working in a tertiary care hospital
Correspondence to JIBI A JACOB; jibiachamma@gmail.com
[To cite: Jacob JA, Thangadurai P, Rebekah GJJ, Kuruvilla A, Gopalakrishnan R. Knowledge and attitude towards advance directives for patients with terminal illnesses among doctors working in a tertiary care hospital. Natl Med J India 2026;39:140-6. DOI: 10.25259/NMJI_817_2023]
Abstract
Background
Advance directives help strike a balance between the ethical concepts of paternalism and patient autonomy in medical practice. It supports end-of-life decisions by the patient within an appropriate legal and ethical framework. This concept is still in its infancy in India and is an under-researched area. We aimed to assess the knowledge and attitudes of medical professionals on advance directives in a tertiary care teaching hospital.
Methods
Medical doctors from all departments were invited to participate in this survey using systematic sampling. The knowledge and attitude questionnaire was administered after obtaining informed consent. Socio-demographic and professional details were also collected. Descriptive, bivariate, and multivariate statistics were obtained using SPSS version 16.0.1.
Results
Our study included 391 medical doctors; 168 (43%) had good knowledge of advance directives, and 129 (33%) had a positive attitude towards them. Doctors who had completed postgraduate training in their specialty had better knowledge. Positive attitudes to advance directives were associated with greater knowledge and working in a super specialty department, while negative attitudes were associated with being more religious.
Conclusion
The level of knowledge and attitudes towards advance directives among medical practitioners is inadequate. While training will help improve knowledge and attitudes, other socio-cultural factors may also influence the same.
INTRODUCTION
Physicians are guided by the four basic tenets of medical ethics: autonomy, beneficence, non-maleficence, and justice.1 Paternalism is defined as the ‘intentional overriding of one person’s known preferences or actions by another person, where the person who overrides justifies the action by the goal of benefiting or avoiding harm to the person whose preferences or actions are overridden.’2 The deontological view states that respect for patient autonomy is mandatory without regard for consequences; however, in clinical practice, paternalism often overrides patient choices. Patient’s degree of autonomy is also not fixed and fluctuates with physical health and mental state.3 In an attempt to strike a balance between patient autonomy and paternalistic attitudes in the physician, the concept of advance directives (AD) was conceived. It has evolved over the past 6 decades with appropriate legal backing and reconciliation with socio-cultural and religious beliefs, especially for end-of-life decisions.4
Advance care planning (ACP) is defined as ‘a process that supports adults at any age or stage of health in understanding and sharing their personal values, life goals, and preferences regarding future medical care.’ Several factors caKeyn influence formulation of ACP, such as patient and illness-related factors, caregiver choices, health workers’ beliefs, health systems capacity, as well as culture and policy. ACP has evolved over the years and is currently conceptualized as a continuum of care planning with a focus on preparing people and their surrogate decision-makers for communication and medical decision-making.5–9AD, a product of ACP, is defined as a legal document signed by a competent person to provide guidance for medical and healthcare decisions (such as the termination of life support or organ donation) in the event the person becomes incompetent to make such decisions.10 AD become operational when the individual is still alive, even if incapacitated. Traditionally, there are 2 main types of AD: the instructional directive and proxy directives. The instructional directive has also been called the ‘living will’ and essentially is an articulation of a person’s desire for how they wish to be treated in the case of future incapacity. The proxy directive is the nomination of a proxy or representative who is then entrusted with the responsibility of decision-making for the period of anticipated incapacity.11
Laws regarding advanced healthcare directives were introduced in the USA in 1990 as the Patient Self-Determination Act. Institutions were required to develop strategies and regulations to facilitate the application of the AD as per this Act. Treating physicians were expected to inquire about AD and record patient preferences in their case records in hospitals and/or nursing homes.12 Until recently in India, since there was no law regarding AD in medical or surgical specialties, the legal implications of end-of-life care were not routinely taught in medical colleges. As a result, most physicians in India find this concept alien and exotic.
The Supreme Court of India’s landmark judgement resulted in the move to establish a robust system of certification for foregoing life support treatment and legal recognition for ‘living will’ in India.13–15 The Supreme Court also held that the right to live with dignity includes smoothening of the process of dying in case of a terminally ill patient or a person in a persistent vegetative state with no hope of recovery.13 The court, while declaring that the right to die with dignity is a fundamental right, also held that foregoing life support treatment and a living will is legally valid and subsequently issued detailed guidelines in this regard.14–17 The Supreme Court recently re-examined the previous judgment in ‘Common Cause versus Union of India’ (2018), as further clarity on the legal aspects and norms of AD was sought by the Indian Society of Critical Care Medicine. Standard operating protocols and algorithms on ACP have been formulated by palliative care physicians and have evolved over the past decade.17 Despite these advances, ACP still remains an underexamined area of clinical practice and research in India. Major lacunae in knowledge and awareness are present among the various stakeholders in the implementation of ACP and AD. There is also a dearth of data on the attitudes to ACP among the public in India.16,18,19
Several studies have attempted to identify factors that influence attitudes to AD. The level of religiosity in physicians and clients has been found to have an impact on their attitudes towards end-of-life issues, including AD. Gender, level of education, extent of experience in dealing with patients with terminal illnesses, and experience in designing or implementing AD are other factors identified to impact attitudes.20,21
Literature on the knowledge and attitudes towards AD among healthcare workers around the world is scarce. The Indian scenario is no different, as this concept is a newly constructed one in terms of medico-ethical-legal parlance.22–24 In this context, we planned to assess knowledge and attitudes regarding AD in terminal illnesses among medical doctors in a tertiary care teaching hospital and explore the sociodemographic and professional correlates.
METHODS
Study design and setting
This cross-sectional survey was done in a tertiary care hospital with a bed strength of 2700. This teaching hospital admits 100 medical undergraduates and about 500 postgraduates (broad and super specialty) each year for training. Apart from the trainees, the hospital employs around 1300 medical doctors.
Sample
All interns, postgraduate trainees, and faculty from both clinical and non-clinical departments were eligible for the study. Every fifth person on the list of eligible participants was contacted for enrolment, either in person or through email. At least 3 reminders were sent to each individual before they were considered a non-responder, after which the next name on the list was contacted.
Ethical considerations
The Institutional Review Board and Ethics Committee approved the study protocol.
Assessment
Socio-demographic, academic, and professional details were collected using a specially designed proforma. The participants’ religiosity was explored using questions adapted from the Centrality of Religiosity Scale (CRS). This 5-item scale has a good internal consistency (D: 0.85).25 The knowledge and attitude questionnaire was used from a previous study from Saudi Arabia.22 This scale has good psychometric properties (knowledge scale reliability: α=0.88 and attitude scale reliability: α=0.93). The knowledge section of the questionnaire has 12 questions related to the definition and types of AD, living will, durable power of attorney, onset of AD’s validity, itemising of several clinical practices into the AD, ideal timing of AD discussion, nomination of a person as healthcare proxy, and the incorporation of that person in the discussion of AD. The answers are scored 0 or 1, indicating absence or presence of knowledge, respectively. The attitude section of the questionnaire contains 27 questions based on 4 sub-themes: planning of AD, comfort and confidence in discussing AD, application of AD, and challenges of AD. The responses of ‘No’ and ‘Yes’ were scored 0 and 1, respectively. The ‘I don’t know’ option was available for some questions. One question was modified, wherein ‘Indian legal system’ replaced ‘Islamic regulations’ from the original questionnaire. A modified Bloom’s cut-off of 75% was used to dichotomise participants’ knowledge into good or poor, and participants’ attitudes as positive or negative.26
Statistical methods
The sample size was calculated based on a 68% prevalence of positive knowledge from a previous study.22 Using the statistical formulae for hypothesis testing for two means, knowledge score, and two proportion hypothesis testing (large proportion— equal allocation) and assuming a 10% dropout rate, the sample size was calculated as 400—this included 200 doctors currently undergoing training (interns and postgraduates), and 200 doctors who had completed training in their specialty. Study participants were selected by systematic probability sampling. Mean, standard deviation, and range were used to describe continuous variables, while frequency distributions were obtained for categorical variables. Parametric tests were used in the analysis as the data were normally distributed. The chi-square test and Student’s t-test were used to test for associations of categorical and continuous variables, respectively. Pearson’s correlation coefficient was used to test for the association between two continuous variables. Multivariate linear and logistic regression analysis was done using factors found significant in the bivariate analysis. SPSS for Windows (version 16.0.1) was used for analysis of data.
RESULTS
Of 925 participants approached, 391 responded, yielding a response rate of 42.27%. Respondents included 219 doctors in training and 172 in post-specialist training. The socio-demographic and professional characteristics have been detailed in Table 1. The mean (SD) age of the participants was 34.6 (8.79) years. The majority were men (55.2%), from an urban background (91.3%), and currently married (66.5%). The majority (96.9%) mentioned a religious affiliation. Among them, 370 (97.6%) were categorized as religious or highly religious, and 9 (2.4%) as not religious, based on the CRS. Tables 2 and 3 are the participant responses to the knowledge and attitude towards AD questionnaire.
| Characteristic | Frequency n (%) |
|---|---|
| Mean (SD) age (years) | 34.6 (8.8) |
| Male sex | 216 (55.2) |
| Religious affiliation: Christian | 273 (69.8) |
| Highly religious on CRS scale | 223 (57) |
| Mean (SD) score | 3.9 (0.81) |
| Married at present | 260 (66.5) |
| Urban residence | 357 (91.3) |
| Family history of terminal illness | |
| Yes | 64 (16.4) |
| Direct involvement in care of family member | 45 (11.5) |
| Issue of an advance directive (AD) was discussed | 12 (3.1) |
| Department | |
| Interns | 25 (6.4) |
| Non-clinical | 50 (12.8) |
| Clinical, medical | |
| Broad specialty | 132 (33.8) |
| Super specialty | 70 (17.9) |
| Clinical, surgical | |
| Broad specialty | 70 (17.9) |
| Super specialty | 44 (11.3) |
| Highest degree | |
| Undergraduate | 147 (37.6) |
| Postgraduate diploma | 9 (2.3) |
| Postgraduate degree | 196 (50.1) |
| Postgraduate super specialty | 35 (9) |
| PhD | 4 (1) |
| Mean (SD) number of years after completing [range] | |
| Internship (n=391) | 10.7 (8.6) [0-41] |
| Postgraduate, Broad specialty (n=248) | 8.7 (7.8) [0-36] |
| Postgraduate, Super specialty (n=41) | 8.1 (6.9) [0-25] |
| Experience of working with terminally ill | 356 (91) [0-25] |
| Interactions with patients with terminal illness in clinical practice | |
| Multiple times in the day | 89 (22.8) |
| Few times in week | 111 (28.4) |
| Few times in month | 84 (21.5) |
| Few times in year | 72 (18.4) |
| Prior training in AD, yes | 45 (11.5) |
| Has any patient approached you for an AD? | |
| Current | 64 (16.4) |
| Past | 62 (15.9) |
| Worked with patients with AD (past)—yes | 61 (15.6) |
| Worked with patients with AD (current)—yes | 46 (11.8) |
| Would prefer an AD for self | 228 (58.3) |
| Knowledge and attitude towards the AD questionnaire | |
| Knowledge of the AD score | 07.2 (3.3) |
| Attitudes towards the AD score | 17.5 (5.9) |
| Adequate knowledge regarding advance directives (AD)— individual items on the questionnaire | Total n (%) | Training status | Bivariate statistics | ||
|---|---|---|---|---|---|
| Post-training (n=172) (%) | In-training (n=219) (%) | X2 | p value | ||
| Definition of ADs | 299 (76.5) | 144 (83.7) | 155 (70.8) | 8.92 | 0.003 |
| Types of ADs | 240 (61.4) | 112 (65.1) | 128 (58.4) | 1.87 | 0.18 |
| Definition of a living will | 270 (69.1) | 120 (69.8) | 150 (68.5) | 0.07 | 0.78 |
| Definition of durable power of attorney | 274 (70.1) | 127 (73.8) | 147 (67.1) | 2.07 | 0.15 |
| Onset of AD validity | 262 (67) | 125 (72.7) | 137 (62.6) | 4.46 | 0.04 |
| Itemizing | |||||
| Life-sustaining technology in the AD document | 281 (71.9) | 122 (70.9) | 159 (22.2) | 0.13 | 0.71 |
| Cardiopulmonary resuscitation in the AD document | 283 (72.4) | 118 (68.6) | 165 (75.3) | 2.18 | 0.14 |
| Withholding nutrition and hydration in the AD document* | 98 (25.1) | 46 (26.7) | 52 (23.7) | 0.46 | 0.49 |
| Place of terminal care and death in the AD document | 233 (59.6) | 103 (59.9) | 130 (59.4) | 0.11 | 0.91 |
| Ideal timing of discussing AD* | 61 (15.6) | 22 (12.8) | 39 (17.8) | 1.82 | 0.18 |
| Nomination of a principal person as a healthcare proxy | 258 (65.5) | 111 (64.5) | 145 (66.2) | 0.12 | 0.73 |
| Incorporation of the healthcare proxy in the discussion of ADs | 246 (62.9) | 107 (62.2) | 139 (63.5) | 0.66 | 0.79 |
| Total knowledge score—Adequate knowledge* | 170 (43.5) | 85 (49.4) | 85 (38.8) | 4.41 | 0.036 |
X2 Pearson’s chi-square value * Items with predominant inadequate knowledge responses in the knowledge questionnaire
| Negative attitudes towards advance directives (AD)— individual items on the questionnaire | Total n (%) | Training status | Bivariate statistics | ||
|---|---|---|---|---|---|
| Post-training (n=172) (%) | In-training (n=219) (%) | X2 | p value | ||
| Discussion of ADs with every patient, irrespective of the diagnosis* | 283 (72.4) | 128 (74.4) | 155 (70.8) | 0.64 | 0.42 |
| Discussion of ADs with patients diagnosed with life-threatening diseases | 79 (20.2) | 38 (22.1) | 41 (18.7) | 0.68 | 0.41 |
| ADs decrease end-of-life (EOL) care decisional catastrophe | 68 (17.4) | 25 (14.6) | 43 (19.6) | 1.74 | 0.23 |
| Confidence in the treatment choices if directed by AD | 84 (21.5) | 33 (19.2) | 51 (23.8) | 0.96 | 0.33 |
| Less worry about the legal consequences of limiting treatment if directed by AD | 92 (23.5) | 42 (24.4) | 50 (22.8) | 0.14 | 0.71 |
| Discussion of ADs demolishes patients’ sense of hope. | 78 (19.9) | 24 (13.9) | 54 (24.7) | 6.91 | 0.009 |
| Discussion of ADs improves patients’ and families’ satisfaction with EOL care | 91 (23.3) | 32 (18.6) | 54 (26.9) | 3.74 | 0.053 |
| ADs decrease the likelihood of futile/unnecessary EOL care | 104 (26.6) | 36 (20.9) | 68 (31.1) | 5.05 | 0.025 |
| Discussion of ADs is the physician’s responsibility | 129 (33) | 69 (40.1) | 60 (27.4) | 7.05 | 0.008 |
| Use of ADs is consistent with patient-centred care values in your healthcare institution | 107 (27.4) | 42 (24.4) | 65 (10.5) | 1.34 | 0.24 |
| Patients’ willingness to know their diagnosis, prognosis, and care option | 64 (16.4) | 28 (16.3) | 36 (16.4) | 0.002 | 0.97 |
| Patients’ willingness to communicate their wishes for EOL care* | 210 (53.7) | 85 (49.4) | 125 (57.1) | 2.22 | 0.132 |
| It feels easy when discussing matters related to EOL with patients and their families* | 311 (79.5) | 138 (80.2) | 173 (78.9) | 0.09 | 0.76 |
| Discussion of ADs produces a confrontational relationship with the patient* | 225 (57.5) | 111 (64.5) | 114 (52.1) | 6.14 | 0.013 |
| A potential problem of ADs is that patients’ families could change their minds about treatment when the patient becomes terminally ill | 114 (29.2) | 50 (29.1) | 64 (29.2) | 0.001 | 0.97 |
| It feels easy when discussing ADs with patients with progressive diseases* | 275 (70.3) | 118 (68.6) | 157 (71.6) | 0.44 | 0.51 |
| Confidence in breaking ‘bad news’* | 207 (52.9) | 88 (51.2) | 119 (54.4) | 0.39 | 0.53 |
| ADs decrease the cost of unnecessary treatment/care. | 77 (19.7) | 29 (16.9) | 48 (21.9) | 1.56 | 0.21 |
| ADs are useful in your institution | 65 (16.6) | 28 (16.3) | 37 (16.9) | 0.26 | 0.87 |
| Your administration/colleagues would support the use of ADs | 150 (38.4) | 74 (43.1) | 76 (34.7) | 2.82 | 0.09 |
| ADs may be a relief for families in some circumstances | 58 (14.8) | 21 (12.2) | 37 (16.9) | 1.67 | 0.19 |
| ADs might be culturally accepted and established* | 202 (51.7) | 96 (55.8) | 106 (48.4) | 2.11 | 0.14 |
| ADs do not interfere with the Indian legal system* | 282 (72.1) | 130 (75.6) | 152 (69.4) | 1.82 | 0.176 |
| ADs can be used in your institution if legalized | 108 (27.6) | 41 (23.8) | 67 (30.6) | 2.2 | 0.14 |
| ADs positively affect the cost of total care and save medical | 85 (21.7) | 31 (36.5) | 54 (63.5) | 2.49 | 0.11 |
| expenditures in the long term | |||||
| ADs improve and facilitate the discharge plan process | 74 (18.9) | 33 (18.8) | 41 (18.7) | 0.014 | 0.91 |
| Recommending that your healthcare institution adopt the use of AD | 91 (23.3) | 31 (18.1) | 60 (27.4) | 4.74 | 0.029 |
| Planning subscale* | 243 (62.1) | 112 (65.1) | 131 (59.8) | 1.15 | 0.28 |
| Comfort and confidence subscale score* | 280 (71.6) | 123 (71.5) | 157 (71.7) | 0.001 | 0.97 |
| Application subscale score | 118 (30.2) | 46 (26.7) | 72 (32.9) | 1.72 | 0.19 |
| Challenges subscale score* | 204 (52.2) | 97 (56.4) | 107 (48.8) | 2. 19 | 0.14 |
| Total attitude score—negative attitude* | 254 (65.0) | 113 (65.7) | 141 (64.4) | 0.073 | 0.79 |
X2 Pearson’s chi-square value * Items with predominant inadequate knowledge responses in the knowledge questionnaire
Knowledge of AD
Less than half (43.5%) of the study participants had good knowledge regarding AD. More post-training participants had a good total knowledge score (49.4%) as compared to those in training (38.8%). Knowledge about the definition of AD and overall knowledge was significantly better among post-training participants. Knowledge regarding details of withholding nutrition and hydration in AD and the ideal time for discussing AD was found to be poor among both groups (Table 2).
Training in AD (p<0.001) and experience in managing terminally ill patients (p=0.002) were found to be associated with higher knowledge scores, and remained significant when adjusted for confounders in multivariate logistic regression (training status, family history of terminal illness, training in AD, experience in working among terminally ill were entered into the model; Table 4).
| Variable | Knowledge scores | Bivariate | Multivariate* | |||||
|---|---|---|---|---|---|---|---|---|
| Inadequate (221) Adequate (170) | X2/p value | Odds ratio p value | ||||||
| (%) n (%) | t value | (CI) | ||||||
| Mean (SD) years of experience after internship | 10.39 (8.1) | 11.05 (9.2) | 0.72 | 0.47 | – | – | ||
| Gender | ||||||||
| Male | 115 (53.2) | 101 (46.8) | 2.11 | 0.15 | – | – | ||
| Female | 106 (60.6) | 69 (39.4) | ||||||
| Training status | ||||||||
| Post-training | 87 (50.6) | 85 (49.4) | 4.41 | 0.036 | 0.64 | 0.035 | ||
| In-training | 134 (61.2) | 85 (38.8) | (0.42–0.97) | |||||
| Family history of terminal illness | ||||||||
| Yes | 29 (45.3) | 35 (54.7) | 3.9 | 0.048 | 0.67 | 0.17 | ||
| No | 192 (58.7) | 135 (41.3) | (0.39–1.18) | |||||
| Experience of working with terminally ill | ||||||||
| Yes | 194 (54.5) | 162 (45.5) | 6.65 | 0.01 | 0.389 | 0.02 | ||
| No | 27 (77.1) | 8 (22.9) | (0.17–0.87) | |||||
| Training in AD | ||||||||
| Yes | 17 (37.8) | 28 (62.2) | 7.27 | 0.007 | 0.44 | 0.013 | ||
| No | 204 (59) | 142 (41) | (0.23–0.84) | |||||
| Variable | Attitude scores | Bivariate | Multivariate† | |||||
| Negative (254) Positive (137) | X2/p value | Odds ratio p value | ||||||
| n (%) n (%) | t value | (CI) | ||||||
| Mean (SD) years of experience after internship | 10.9 (8.6) | 10.26 (8.7) | –0.72 | 0.47 | – | – | ||
| Gender | ||||||||
| Male | 133 (61.6) | 83 (38.4) | 2.4 | 0.12 | – | – | ||
| Female | 121 (69.1) | 54 (30.9) | ||||||
| Religiosity | ||||||||
| Highly religious | 155 (69.5) | 68 (30.5) | 4.7 | 0.03 | 1.37 | 0.185 | ||
| Others | 99 (58.9) | 69 (41.1) | (0.86–2.17) | |||||
| Training status | ||||||||
| Post-training | 113 (65.7) | 59 (34.3) | 0.073 | 0.78 | – | – | ||
| In-training | 141 (64.4) | 78 (35.6) | ||||||
| Clinical specialty (n=316) | ||||||||
| Medical | 119 (58.9) | 83 (41.1) | 5.33 | 0.021 | – | – | ||
| Surgical | 82 (71.9) | 32 (28.1) | ||||||
| Area of work | ||||||||
| Super-specialty | 63 (55.3) | 51 (44.7) | 6.65 | 0.01 | 0.53 | 0.014 | ||
| Others | 191 (69) | 86 (31) | (0.32–0.88) | |||||
| Training in ADs | ||||||||
| Yes | 22 (48.9) | 23 (51.1) | 5 . 8 | 0.016 | 0.58 | 0 . 1 | ||
| No | 232 (67.1) | 114 (32.9) | (0.3–1.11) | |||||
| Adequate knowledge | ||||||||
| Yes | 87 (51.2) | 83 (48.8) | 2 5 . 1 | <0.001 | 0.32 | <0.001 | ||
| No | 167 (75.6) | 54 (24.4) | (0.21–0.51) | |||||
X2 Pearson’s chi-square value t Independent sample t test value * multivariate logistic regression (training status, family history of terminal illness, training in ADs, and experience in working with terminally ill patients were entered into the model) † multivariate logistic regression (level of religiosity, area of work, training in ADs and knowledge on ADs were entered into the model) CI confidence interval
Attitude towards AD
A positive attitude towards AD was found in 33.2% of the entire sample; among the post-specialty-trained doctors and in-training group, rates of positive attitudes were 32% and 34.2%, respectively. Positive attitudes were lowest in the comfort and confidence subscale of the questionnaire (in-training 28.5%, post-training 28.3%). Attitudes were predominantly negative for questions pertaining to ease of discussion about end-of-life care and AD, confidence in breaking ‘bad news’, and the cultural and legal aspects of AD. Significant differences between the groups were noted in individual attitude questions related to the impact on patients’ hope, AD precipitating a confrontational relationship with the patient, AD reducing the incidence of futile and unnecessary end-of-life care, and the option of recommending AD in the institute, with post-training participants having more positive attitudes (Table 3).
High religiosity (p=0.03), training in AD (p=0.02), working in surgical specialty (p=0.001), working in a superspecialty department (p=0.02) and adequate knowledge (p<0.001) were associated with attitudes towards AD. In multivariate logistic regression analysis of the predictors of positive attitude towards AD, area of work and adequate knowledge remained significant when adjusted for other confounders (level of religiosity, area of work, training in AD, and knowledge on AD were entered into the model; Table 4).
Among doctors working in superspecialty departments, number of years of experience after training positively correlated with attitude subscales of comfort and confidence in discussing AD (r=0.33, p=0.04), application of AD (r=0.34, p=0.03), challenges of AD (r=0.39, p=0.01) and total attitude scores (r=0.37, p=0.02).
DISCUSSION
ACP and thereby AD are an integral part of a healthcare delivery system that believes in the principle of ‘health for all’. ACP can empower terminally ill patients and their relatives to make informed decisions about end-of-life care. The waves of Covid-19 pandemic exemplified this burden and its effects on healthcare professionals, especially in resource-scarce areas. AD can empower the healthcare sector to prioritize expenses.27–29
However, AD involve complex clinical assessments, including those of cognition and decisional capacity. Participation by various stakeholders, such as caregivers, legal advisors, health professionals, and political and religious leaders, is required in the conceptualization and implementation of AD in clinical practice. Among the medical professionals, the primary treating team, along with the palliative care and mental health teams, has a role in planning and implementing AD, as it requires multiple in-depth discussions along with detailed competency assessments.14,30
Knowledge about AD
Less than half of the participants in this study had adequate knowledge regarding AD, similar to the results obtained by some researchers.22,24,31–33 Similar to some previous reports, in this study, knowledge was inadequate in the domains related to withholding of nutrition and hydration, and the ideal time to discuss AD.22 As expected, prior training in AD and working with terminally ill patients were associated with adequate knowledge. These findings have also been reported previously.22,33
Attitude towards AD
Two of every 3 medical doctors in this study reported a negative attitude towards AD. Similar prevalence rates have been reported in earlier studies.22 This high rate may be contributed to by the paternalistic attitudes prevalent among medical professionals in this country. It may also be a consequence of inadequate exposure to the concept of AD, which are a recent addition to medical ethics in our country. What is heartening is the positive correlation of positive attitudes with knowledge. This suggests that attitudes to AD can be improved with training, as also suggested by some previous reports.21,22,33
Some religious scholars believe that the concept of AD is not congruent with their religious teachings.34 The bulk of the available literature on AD is from countries where the Abrahamic religions predominate. We attempted to study the interaction between religious affiliation and attitudes and knowledge on AD. Participants who stated that they were highly religious were found to be more likely to have negative attitudes towards AD. This is similar to a previous report that suggested that physicians who were very religious were less likely to believe that life-sustaining treatment should be withdrawn, or to endorse the prescription of needed pain medication if it hastens death, or agree with euthanasia.35 Other researchers have not found a link between religion and AD.36,37 Al-Jandali et al. have discussed ways to address the religious implications of end-of-life decisions.36
Our findings highlight the deficiencies in the medical curriculum in imparting ethical concepts, especially when dealing with the terminally ill. Education regarding the indications for ACP and implementation of AD would improve the quality-of-care for the terminally ill. These aspects could be included as modules in the undergraduate and postgraduate curriculum, or as continuing medical education programs.19 The National Medical Commission flagship program for medical faculty— AETCOM—includes the concept of AD among the core competencies; however, it is not elaborated in the modules. A greater emphasis on promoting attitudes and skills would be one of the first steps toward improving medical teachers’ competency.38 Training should initially focus on medical professionals in specialities where ACP and AD are applicable in routine clinical practice, such as geriatrics, oncology, palliative care, etc. Future measures to incorporate ACP into the Indian healthcare delivery system will require a cohesive plan among all medical and surgical specialties. Care planning implementation should also extend beyond the healthcare setting into the community, including social and community health workers, legal professionals, and faith-based and community leaders.5 The general public needs to be involved through the organization of awareness programs. Non-profit organizations, nongovernmental organizations, and religious bodies can be asked to help disseminate the knowledge and awareness about the concept of ACP in the community. This bottom-up approach will ensure better translation from a theoretical and legal framework to clinical and practical output.19 AD should undergo standardization and validation and then be stored in a manner allowing the information to be accessible throughout India, confidentially. The cultural and religious perspectives of the providers and recipients of ACP and AD must be explored. In the near future, care planning must be reconceptualised as an ongoing process through the course of life that includes immediate and advanced decisions.5,19
Strengths and limitations
This survey is one of the first explorations into a relatively new but important ethical concept in the country. An adequate sample size ensures the study is well powered to draw meaningful conclusions about the population studied. The use of a previously validated structured instrument to assess knowledge and attitudes towards AD is another strength.
Several limitations merit mention. Our study was done in a multilingual minority institution; hence, the study population may not be representative of the medical fraternity in India, with respect to demographics or culture. However, the professional characteristics are representative of the faculty of any teaching hospital in India. The inclusion of physicians and trainees from non-clinical specialities may have skewed the results, as specialists from non-clinical departments do not routinely interact with patients with terminal illnesses. The cross-sectional nature of the study precludes us from understanding the directionality of association or changes in knowledge and attitude over time. A qualitative approach with research interviews on this topic may have obtained greater detail about knowledge and attitudes regarding AD in this group. Future research should focus on assessing changes in knowledge and attitude regarding AD at different times in a medical professional’s career, as well as among different groups of professionals, such as nurses and paramedical workers. Continuing medical education (CME) sessions with pre- and post-test assessments would allow for the evaluation of the effectiveness of such programs. The results of such research would also help formulate legislation and standard operating procedures regarding AD.
Conclusions
Medical ADs are a novel concept in India, and discussions about them are still in the early stages. It is essential to explore the level of knowledge and attitudes regarding AD among medical professionals, patients, and caregivers, prior to conceptualizing legal and medical protocols for the same. Among medical professionals, competence in discussing and initiating AD should be encouraged from the undergraduate training period onward. Medical specialities such as palliative care, oncology, psychiatry, and geriatrics should ensure that postgraduate trainees are able to adequately assess competency and decisional capacity, and are knowledgeable about the ethical and legal aspects of AD. Strong ethical and legal departments are essential in healthcare institutions to ensure transparency in the planning and implementation of advance directives, which are an important end-of-life concern for patients and caregivers.
ACKNOWLEDGEMENT
We acknowledge Dr Thambu David Sudarsanam (Professor and Head of the Department), Dr Samuel George Hansdak, (Professor), Dr Punitha J (Associate Professor), Dr Sheba Meriam Thomas (Senior Resident) and Dr Jacob Johnson (Senior Resident), Department of Medicine, Christian Medical College, Vellore for their contributions during the preparation of the research protocol.
Conflicts of interest
None declared
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