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Cancer Management and Research logoLink to Cancer Management and Research
. 2017 Nov 10;9:591–600. doi: 10.2147/CMAR.S147312

Training surgeons in shared decision-making with cancer patients aged 65 years and older: a pilot study

Noralie H Geessink 1,2, Yvonne Schoon 1,2,, Marcel GM Olde Rikkert 1, Harry van Goor 3
PMCID: PMC5689024  PMID: 29184443

Abstract

Objective

Treatment decision-making in older patients with colorectal (CRC) or pancreatic cancer (PC) needs improvement. We introduced the EASYcare in Geriatric Onco-surgery (EASY-GO) intervention to optimize the shared decision-making (SDM) process among these patients.

Methods

The EASY-GO intervention comprised a working method with geriatric assessment and SDM training for surgeons. A non-equivalent control group design was used. Newly diagnosed CRC/PC patients aged ≥65 years were included. Primary patient-reported experiences were the quality of SDM (SDM-Q-9, range 0–100), involvement in decision-making (Visual Analog Scale for Involvement in the decision-making process [range 0–10]), satisfaction about decision-making (Visual Analog Scale for Satisfaction concerning the decision-making process [range 0–10]), and decisional regret (Decisional Regret Scale [DRS], range 0–100). Only for DRS, lower scores are better.

Results

A total of 71.4% of the involved consultants and 42.9% of the involved residents participated in the EASY-GO training. Only 4 trained surgeons consulted patients both before (n=19) and after (n=19) training and were consequently included in the analyses. All patient-reported experience measures showed a consistent but non-significant change in the direction of improved decision-making after training. According to surgeons, decisions were significantly more often made together with the patient after training (before, 38.9% vs after, 73.7%, p=0.04). Sub-analyses per diagnosis showed that patient experiences among older PC patients consistent and clinically relevant changed in the direction of improved decision-making after training (SDM-Q-9 +13.4 [95% CI −7.9; 34.6], VAS-I +0.27 [95% CI −1.1; 1.6], VAS-S +0.88 [95% CI −0.5; 2.2], DRS −10.3 [95% CI −27.8; 7.1]).

Conclusion

This pilot study strengthens the practical potential of the intervention’s concept among older surgical cancer patients.

Keywords: shared decision making, training program, surgeons, elderly, colorectal cancer, pancreatic cancer

Introduction

Major surgery in older cancer patients results in significant risks of complications that may jeopardize patients’ quality of life and functioning.1,2 Multi-morbidity and frailty are important elements in the surgical risk evaluation of these patients.3 Colorectal (CRC) and pancreatic cancer (PC) resections in older patients are common examples of high-risk procedures, and decision-making in this context may still be improved considerably.46 For older CRC and PC patients and their families, it is important to understand what they can expect after surgery and how surgery may impact their daily life.7 To adequately inform older patients, surgeons should integrate information on their physical and psychosocial problems, including the overall frailty.7 However, this is a difficult task, and while preoperative geriatric assessment is recommended in many oncologic guidelines, it is usually limited to an anesthesiologic risk evaluation about the patient’s fitness for surgery.8 Non-geriatric physicians are often overwhelmed by the complexity of geriatric patients.9,10 In addition, specific geriatric training in surgical curricula is minimal or lacking,11 and there is room for improvement in implementing basic geriatrics.12,13 Moreover, to involve patients in decision-making and deliver patient-preferred care, shared decision-making (SDM) and shared goal-setting are widely recommended for surgical procedures in these frail patients where alternatives for a major operation are available.3,14,15 Previous studies show that surgeons’ SDM skills can be optimized16,17 specifically among older patients.18,19 We developed the EASYcare in Geriatric Onco-surgery (acronym EASY-GO) intervention, which is a multi-component intervention designed to optimize the SDM process among older CRC and PC patients. In this paper, we present the proof of concept of such a training intervention, based on a pilot study in surgical practice.

Methods

EASY-GO intervention

The EASY-GO intervention comprised an EASY-GO training for surgeons and nurse specialists focused on frailty and SDM after which the EASY-GO working method was implemented. According to this method, nurse specialists accomplished competencies in geriatric screening and surgeons applied SDM in their consultations.

EASY-GO training

The EASY-GO training for surgeons and nurse specialists lasted two sessions of two hours and two sessions of three hours, respectively. In the first session, participants were educated about frailty and geriatric screening during which quizzes, role plays, and case discussions were alternated. Knowledge about frailty and numbers of adverse outcomes in surgical elderly care was transferred by presentations. Active discussions took place using case descriptions. All case descriptions were derived from daily practice, e.g., baseline measurement. Discussion points included the following: is this patient frail and why? Since the EASYcare instrument (which comprised a brief standardized method of assessing the health and care needs perceptions of older people),20 the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale 15 (GDS-15), and gait speed were part of the screening, these instruments including their interpretation were also explained during the first training day. The second training session focused on SDM. In a presentation, the theory of SDM and a model for clinical practice (based on the models of Elwyn,14 Makoul,15 and Van de Pol et al,21 respectively) were discussed. Subsequently, the implementation of SDM and difficult conversations were practiced with an actor. Again, used case descriptions were derived from baseline measurement. At last, the EASY-GO working method was explained. The four trainers for all sessions were as follows: a GP specialized in SDM, elderly, and education; a geriatrician specialized in preoperative elderly care and education; and two geriatric nurse specialists. For surgeons, the training was offered on a voluntary basis.

EASY-GO working method

After training, the EASY-GO working method was implemented with a few procedures added to usual care (Figure 1). First, the nurse specialists performed 60 minutes of geriatric screening in all patients aged ≥65 years using the EASYcare instrument, MMSE, GDS-15, and gait speed. Since older CRC/PC patients and their physicians considered “obtaining an overall picture” and “taking into account frailty”, respectively, a key element in optimal decision-making,7 we introduced the geriatric assessment as part of the EASY-GO intervention. In addition, patients’ goals in life and treatment preferences were discussed. In case of a lack of time or organizational issues, the screenings were accomplished by one of the researchers (NG). Afterward, results of the geriatric screening were provided to the surgeon before the surgeon welcomed the patient in the consultation room. Subsequently, trained surgeons applied SDM in the consultations taking into account the personal context of the patient. In general, treatment options for patients with CRC and PC (depending on cancer stage) include surgery, (neo)adjuvant chemotherapy and/or radiotherapy (frequently in the context of a clinical trial), and no treatment. Adherence to the intervention was stimulated by training-on-the-job performed by a geriatric specialist; the surgeons received feedback post-consultation about the SDM process, and nurse specialists received feed-back about the geriatric screening.

Figure 1.

Figure 1

EASY-GO intervention positioned in EASY-GO pilot study.

Abbreviations: EASY-GO, EASYcare in Geriatric Onco-surgery; EASYcare, Elderly Assessment System care; GDS-15, Geriatric Depression Scale, 15 items; MMSE, Mini-Mental State Examination; SDM, shared decision-making.

Study design

Our multi-component training intervention was implemented and evaluated as part of a practice-based pilot study. A non-equivalent control group design was used. Before the EASY-GO training took place, a baseline measurement was conducted. After training, a posttest was carried out within a new group of patients. The EASY-GO intervention was implemented in the regular care processes for CRC and PC patients. No selection was made which surgeon consulted the patient. To analyze the implementation of the EASY-GO intervention, a process evaluation was also conducted.

Setting and participants

Consecutive patients were included at the surgical department of the Radboud university medical center, Nijmegen, the Netherlands. Inclusion criteria were as follows:

  • Patients ≥65 years

  • Patients registered as new patient diagnosed with CRC or PC (for patients with CRC in some cases with localized metastases)

  • Patients initially considered for surgery (whereby it was allowed that patients with rectal cancer already had had neoadjuvant radiotherapy and/or chemotherapy).

All consultations were observed by one of the researchers (NG). All consultants, residents, and nurse specialists involved in the abdominal oncology care in the study’s time frame were included in the pilot study. Patients did not know whether their physician was trained or not.

Outcome measures and data collection

Effects of EASY-GO intervention

Primary outcomes were four patient-reported experience measures (PREMs): patient-reported level of SDM, patient involvement in decision-making, patient satisfaction about the decision-making process, and patient’s decisional regret. Secondary outcomes were two patient-reported outcome measures (PROMs) on patient’s quality of life and quality of functioning. For the primary outcomes, patients filled in a questionnaire at home after the final consultation when the treatment decision was made (T0). This questionnaire included the nine-item Shared Decision Making Questionnaire (SDM-Q-922,23) for the patient-reported level of SDM (scale 0–100, where 0 indicates the lowest possible level of SDM and 100 indicates the highest extent of SDM). Since the SDM-Q-9 consists of nine statements rated on a six-point scale, raw total scores (0–45) were multiplied by 20/9 to rescale the total range from 0 to 100. The questionnaire also included visual analog scale scores (VAS-scores; scale 0–10, where 10 indicates the best score) for the extent of involvement in decision-making (VAS-I) and patient satisfaction concerning the decision-making process (VAS-S). After three months, patients were again asked to fill in a questionnaire (T1) which concerned decisional regret (Decisional Regret Scale [DRS];24 scale 0–100, where 0 indicates no decisional regret and 100 indicates high regret). For the secondary outcomes, patients filled in the Older Persons and Informal Caregivers Survey Minimum Dataset (TOPICS-MDS) questionnaire,25 both at T0 and at T1 to measure the quality of life (EuroQol five dimensional scale [EQ5D]; scale −0.33–1.00, where 1 indicates the highest quality of life) and quality of functioning (KATZ index of independence in activities and instrumental activities in daily living [KATZ-15]; scale 0–15, whereby higher scores indicate more disabilities). In addition to the primary and secondary outcomes, patients were additionally asked about who made the decision (adjusted Control Preference Scale [aCPST0])26,27 at T0 and which role they preferred in decision-making in hindsight (adjusted Control Preference Scale [aCPST1]) at T1. In addition to patients, surgeons also filled in a short questionnaire immediately after the final consultation to determine patient involvement in decision-making (VAS-Idoc) and to determine who made the decision according to them (aCPSdoc).

To analyze the process of implementation of the EASY-GO intervention, the adherence to all intervention components was documented.

Data analysis

For our analyses, we only included surgeons who consulted patients both before and after implementation of the intervention to be able to analyze the change in their SDM skills. In addition, surgeons who did not participate in the EASY-GO training were excluded in the analyses to be able to evaluate the implementation of the complete EASY-GO intervention like the intended design. To compare baseline characteristics before and after implementation, Student’s t-test was used for continuous data, chi-square test was used to compare categorical data, and Fisher’s exact test was used in case of small numbers per category. Differences were considered statistically significant if the p-value was <0.05 (for two-tailed tests). For evaluating differences in primary and secondary outcomes before and after implementation of the intervention, a linear mixed model was used to account for clustering within individual surgeons. Sub-analyses were performed per diagnosis, CRC or PC. Change in PREMs was considered clinically relevant if the SDM-Q-9 score differed by ≥10, if the VAS-I and VAS-S scores differed by ≥1, and if the DRS score differed by ≥−10. ADL decline was considered clinically relevant if the KATZ-15 score differed by ≥1 points between T0 and T1. Change in quality of life was considered clinically relevant if the EQ5D score differed by ≥0.10 points. Data were analyzed using the statistical software program SPSS version 22. With respect to the process evaluation, the performed and adhered components of the EASY-GO intervention are presented as frequencies and percentages.

Ethics

Ethical approval was obtained from the local ethics committee (CMO Arnhem-Nijmegen, #2014-1400). All patients gave written and verbal informed consent to process their data.

Results

In total, 94 patients were included in the study’s time frame (January 2015–January 2016): 47 before and 47 after implementation of the EASY-GO intervention (Figure 2). Twenty different surgeons were engaged with these 94 patients. In total, six consultants and five residents participated in the EASY-GO training. Only four trained surgeons consulted patients both before (n=19) and after (n=19) training and were consequently included in the analyses. All three nurse specialists completed the training to perform the geriatric screenings.

Figure 2.

Figure 2

Flowchart that explains the number of surgeons and patients included in the study.

Abbreviation: EASY-GO, EASYcare in Geriatric Onco-surgery.

Characteristics of the included patients before and after training did not significantly differ (Table 1). PC patients were always seen by consultants, while CRC patients were also seen by residents.

Table 1.

Patient characteristics before and after implementation of the EASY-GO intervention

Patient characteristics Before
After
p-value*
Total n Mean (SD) Total n Mean (SD)
Age (years) 19 71.1 (5.9) 19 72.1 (4.4) 0.56
Mean total number of medicines 18 5.8 (3.1) 18 5.9 (3.7) 0.92
CIRS-G (total score) 18 11.8 (4.8) 19 13.5 (4.0) 0.24
KATZ-15
 T0 17 0.6 (1.5) 15 1.2 (2.5) 0.36
 T1 15 1.5 (2.6) 14 1.5 (3.2) 0.98
EQ5D
 T0 16 0.7 (0.4) 15 0.8 (0.3) 0.51
 T1 15 0.7 (0.3) 14 0.7 (0.4) 0.86
Length of hospital stay (days) 11 13.3 (10.5) 14 12.2 (6.7) 0.76
Mean total duration consultations (minutes) 16 35.8 (14.9) 16 36.2 (16.2) 0.94

Total n n (%) Total n n (%) p-value

Sex (female) 19 9 (47.4) 19 6 (31.6) 0.32
Education level41 17 19 0.86
 Low (Verhage 1–4) 11 (54.7) 11(57.9)
 Middle (Verhage 5–6) 5 (29.4) 6 (31.6)
 High (Verhage 7) 1 (5.9) 2 (10.5)
Poly-pharmacy (≥5 medicines) 18 14 (77.8) 18 14 (77.8) 1.00
Diagnosis 19 19 0.49
 PC 14 (73.7) 13 (68.4)
 CRC 4 (21.1) 6 (31.6)
 Others 1 (5.3) 0 (0.0)
Diagnosis 19 19 0.34
 Malignant 13 (68.4) 17 (89.5)
 Pre-malignant 4 (21.1) 1 (5.3)
 Benign 1 (5.3) 0 (0.0)
 At risk 1 (5.3) 1 (5.3)
Cancer stages (CRC) 4 6 0.31
 0 0 (0.0%) 1 (16.7%)
 I 1 (25.0%) 1 (16.7%)
 II 2 (50.0%) 0 (0.0%)
 III 0 (0.0%) 1 (16.7%)
 IV 1 (25.0%) 3 (50.0%)
Cancer stages (PC)
 0 14 1 (7.1%) 13 0 (0.0%) 0.45
 IA 0 (0.0%) 0 (0.0%)
 IB 0 (0.0%) 3 (23.1%)
 IIA 1 (7.1%%) 2 (15.4%)
 IIB 2 (14.3%) 3 (23.1%)
 III 2 (14.3%) 2 (15.4%)
 IV 2 (14.3%) 1 (7.7%)
 IPMN/NET 3 (21.4%) 1 (7.7%)
 SCA/SCN 1 (7.1%%) 1 (7.7%)
 Unknown 2 (14.3%) 0 (0.0%)
Treatment (primary) 19 19 0.59
 Surgery (i.e. after neo-adjuvant therapy) 9 (47.4) 12 (63.2)
 Radiotherapy and/or systemic therapy (neo-adjuvant) 1 (5.3) 2 (10.5)
 Expectative 4 (21.1) 2 (10.5)
 Palliative/palliative systemic therapy 2 (10.5) 2 (10.5)
 TEM/EMR 0 (0.0) 1 (5.3)
 Refrained from treatment by the patient 1 (5.3) 0 (0.0)
 Unknown 1 (5.3) 0 (0.0)
Complications (within 30 days after surgery) 11 6 (54.5) 15 11 (73.3) 0.32
Number of unplanned readmissions (within 30 days after surgery) 11 3 (27.3) 15 2 (13.3) 0.37
ER visits (unplanned, due to the operation/tumor) 9 5 (55.6) 15 4 (26.7) 0.16
ICU admission after surgery 11 5 (45.5) 15 10 (66.7) 0.28
Adjuvant systemic therapy 14 12 0.07
 No 11 (78.6) 5 (41.7)
 Yes 3 (21.4) 4 (33.3)
 Indicated, but refrained from by the patient 0 (0.0) 3 (25.0)
Mortality (within 30 days after SDM process) 16 4 (25.0) 16 5 (31.3) 0.69
Type of surgeons 18 19 0.16
 Senior consultant 14 (77.8) 12 (63.2)
 Junior consultant 2 (11.1) 6 (31.6)
 Surgical resident 2 (11.1) 0 (0.0)
 Combination 0 (0.0) 1 (5.3)
Physician sex (female) 18 7 (38.9) 19 8 (42.1) 0.84
Total number of conversations 19 19 0.25
 0 1 (5.3) 0 (0.0)
 1 6 (31.6) 4 (21.1)
 ≥2 12 (63.1) 15 (78.9)

Notes:

*

p-values were based on Student’s t-test for continuous data, chi-square test for categorical data, and Fisher’s exact test in case of small numbers per category;

based on the clinical TNM classification.

Abbreviations: CIRS-G, Cumulative Illness Rating Scale for Geriatric patients; CRC, colorectal cancer; EASY-GO, EASYcare in Geriatric Onco-surgery; EMR, endoscopic mucosal resection; EQ5D, EuroQol five dimensional scale (scale: −0.33–1.00, where 1 indicates the highest quality of life); ER, emergency room; ICU, intensive care unit; IMPN/NET, intraductal papillary mucinous neoplasm/neuroendocrine tumor; KATZ-15, KATZ index of independence in activities and instrumental activities in daily living (scale 0–15, where 15 indicates the most disabilities); PC, pancreatic cancer; SCA/SCN, serous cystic neoplasm/serous cystadenoma; SDM, shared decision-making; TEM, transanal endoscopic microsurgery. T0, the baseline questionnaire was filled in after the final consultations when the treatment decision was made; T1, the follow-up questionnaire was filled in after three months;

Primary outcomes

All PREMs showed a change in the direction of improved decision-making after training, but the 95% confidence intervals (95% CIs) of the mean difference scores were wide (Table 2). Patient involvement as rated by surgeons also changed in the direction of improved decision-making. Before training, 13.3% of the patients mentioned that the decision was made by the doctor, 66.7% mentioned that the decision was made together with the doctor, and 20.0% mentioned that the decision was made by themselves or relatives. After training, these percentages were 20.0%, 73.3%, and 6.7%, respectively (p=0.54). According to surgeons, 55.6% of the surgeons before training mentioned that the decision was made by them, 38.9% mentioned that the decision was made together with the patient or relatives, and 5.6% mentioned that the decision was made by the patient. After training, surgeons mentioned significantly more often that the decision was made together with the patient (73.7%) and less often that the decision was made by them (15.8%) (p=0.04). A total of 10.5% mentioned that the decision was made by the patient and/or their relatives.

Table 2.

Primary and secondary outcomes before and after implementation of the EASY-GO intervention

Before
After
Difference score 95% CI of difference score
n Mean±SD n Mean±SD
SDM-Q-9 17 74.5±27.8 15 83.6±15.4 9.05 [−7.5; 25.6]
VAS-I 17 7.8±2.3 15 8.2±1.9 0.39 [−1.1; 1.9]
VAS-Idoc 17 7.0±1.6 19 7.5±2.0 0.53 [−0.7; 1.8]
VAS-S 17 8.0±1.4 15 8.6±1.6 0.58 [−0.5; 1.7]
DRS 15 28.3±20.7 14 19.6±21.4 −8.69 [−24.7; 7.4]
Δ EQ5D 14 −0.1±0.3 12 −0.1±0.2 −0.04 [−0.3; 0.2]
Δ KATZ-15 15 1.1±2.5 12 0.3±1.2 −0.73 [−2.4; 0.9]

Abbreviations: DRS, Decisional Regret Scale (range 0–100, where 100 indicates the highest level of regret); EASY-GO, EASYcare in Geriatric Onco-surgery; SDM-Q-9, nine-item Shared Decision Making Questionnaire (range 0–100, where 100 indicates the highest extent of SDM); VAS-I, patient involvement on a visual analog scale (range 0–10, where 10 indicates the best score); VAS-Idoc: patient involvement on a visual analog scale according to the physician (range 0–10, where 10 indicates the best score); VAS-S, patient satisfaction on a visual analog scale (range 0–10, where 10 indicates the best score); Δ EQ5D, change in EuroQol five dimensional scale (scale: −0.33–1.00, where 1 indicates the highest quality of life) between T1 and T0; Δ KATZ-15, change in KATZ index of independence in activities and instrumental activities in daily living (15 items, where 15 indicates the most disabilities) between T1 and T0.

Secondary outcomes

In accordance with the actual phase of the patients’ treatment trajectories, quality of life and quality of functioning as secondary PROMs seemed to slightly worsen after three months both before and after training (Table 1). The difference in change in EQ5D scores before and after training was marginal (Table 2). The change in KATZ-15 scores seemed clinically relevant before training, where scores after training were mutually more comparable.

Sub-analyses per diagnosis

The quality of SDM and decisional regret among PC patients showed a clinically relevant change in the direction of improved decision-making after implementation (Table 3). The mean patient involvement score as rated by PC consultants significantly improved after training (VAS-Idoc: +1.23; 95% CI: 0.2; 2.2). Among CRC patients, only patient involvement showed a clinically relevant change in the direction of improved decision-making. Comparing the two diagnoses, PREMs were consistently better among PC patients after implementation (SDM-Q-9: +13.3 [95% CI: −3.8; 30.5]; VAS-I: +1.73 [95% CI: −0.3; 3.8]; VAS-S: +0.9 [95% CI: −1.0; 2.7]; DRS: −11.0 [95% CI: −38.9; 16.9]).

Table 3.

Primary and secondary outcomes per diagnosis before and after implementation of the EASY-GO intervention

PC Before
After
Difference score 95% CI of difference score
n Mean±SD n Mean±SD
SDM-Q-9 12 74.6±30.1 10 88.0±12.3 13.37 [−7.9; 34.6]
VAS-I 12 8.5±1.3 10 8.7±1.8 0.27 [−1.1; 1.6]
VAS-Idoc 13 6.6±1.7 13 7.9±0.6 1.23 [0.2; 2.2]
VAS-S 12 8.0±1.6 10 8.9±1.4 0.88 [−0.5; 2.2]
DRS 11 26.8±21.5 10 16.5±16.0 −10.32 [−27.8; 7.1]
Δ EQ5D 10 −0.0±0.4 8 −0.1±0.3 −0.11 [−0.5; 0.2]
Δ KATZ-15 11 1.5±2.9 8 0.3±1.3 −1.20 [−3.5; 1.1]

CRC Before
After
Difference score 95% CI of difference score
n Mean±SD n Mean±SD

SDM-Q-9 4 69.4±18.4 5 74.7±18.4 5.22 [−29.5; 40.0]
VAS-I 4 5.4±3.4 5 7.0±1.6 1.63 [−2.4; 5.6]
VAS-Idoc 4 8.2±1.1 6 6.8±3.5 −1.39 [−5.6; 2.8]
VAS-S 4 8.0±1.1 5 8.0±1.9 0.00 [−2.5; 2.5]
DRS 3 23.3±11.5 4 27.5±33.3 4.17 [−48.5; 56.8]
Δ EQ5D 3 −0.2±0.2 4 −0.0±0.2 0.16 [−0.2; 0.5]
Δ KATZ-15 3 0.0±0.0 4 0.5±1.0 0.50 [−1.0; 2.0]

Abbreviations: CRC, colorectal cancer; DRS, Decisional Regret Scale (range 0–100, where 100 indicates the highest level of regret); EASY-GO, EASYcare in Geriatric Onco-surgery; PC, pancreatic cancer; SDM-Q-9, nine-item Shared Decision Making Questionnaire (range 0–100, where 100 indicates the highest extent of SDM); VAS-I, patient involvement in the decision-making process on a visual analog scale (range 0–10, where 10 indicates the best score); VAS-Idoc, patient involvement in the decision-making process on a visual analog scale according to the physician (range 0–10, where 10 indicates the best score), VAS-S, patient satisfaction concerning the decision-making process on a visual analog scale (range 0–10, where 10 indicates the best score); Δ EQ5D, change in EuroQol five dimensional scale (scale: −0.33–1.00, where 1 indicates the highest quality of life) between T1 and T0; Δ KATZ-15, change in KATZ index of independence in activities and instrumental activities in daily living (15 items, where 15 indicates the most disabilities) between T1 and T0.

Quantitative process evaluation

Degree of implementation

In total, 71.4% of the involved consultants, 42.9% of the involved residents, and 100% of the nurse specialists participated in the EASY-GO training. After training, 18 patients (94.7%) received a geriatric screening as part of the EASY-GO working method. Only 16.7% of them were screened by nurse specialists. All others were screened by one of the researchers (NG). The geriatric screening results of 17 patients (94.4%) were provided to the consultant or resident. The total duration of consultations did not significantly increase after training (Table 1).

Discussion

We piloted a training for surgeons and nurse specialists concerning SDM and a geriatric screening in the regular care processes for older patients with CRC or PC of our surgical department. The promising results in this study support the practical potential of the intervention’s concept and its feasibility.

Though PREMs among trained surgeons showed a consistent change in the direction of improved decision-making, the wide confidence intervals of the mean difference scores suggest that significance could not be reached in our small sample size. Besides, the learning maximum was possibly not yet reached in our study since the ongoing training-on-the-job also belonged to the intervention’s effect and each trained surgeon only consulted a few patients in the short study period. The effect on PREMs might have been bigger when the training-on-the-job period was expanded. The consistent change in PREMs in the direction of improved decision-making among PC patients, who were all consulted by trained consultants after implementation, suggests that the EASY-GO intervention was appropriate for this target group. Also the more dedicated regular care procedures for PC patients with less varying physicians may have contributed. Regarding older CRC patients among whom PREMs did not consistently change in the direction of improved decision-making, differences in the number and duration of consultations and differences in future health perspective may have contributed.

Previous studies concerning the effectiveness of SDM training programs for professionals show equivocal effects.28,29 The quality of evidence regarding SDM training generally is low and in surgical care virtually non-existing. Training programs vary extensively and only a few are sufficiently evaluated.29,30 Nevertheless, there is consensus about the need to improve patients’ participation in decision-making and to implement SDM,3032 whereby any kind of intervention that actively targets patients, physicians, or both is suggested to be better than none.29 Among physicians, SDM training programs are associated with increased confidence in their own SDM and interaction competencies,33 which correspond to our findings among trained PC surgeons. CRC surgeons, however, showed a clinically relevant change in patient involvement in the direction of worse decision-making after training. It is presumed that surgeons just realized after training what SDM is and thus whether they actually involve patients in decision-making. Because of the small total number of patients per surgeon, CRC surgeons could not develop their skills in practice.

Our pilot study has several strengths. Besides in older patients, we studied the effect of an SDM training in patients with PC or CRC, two cancer types with high perioperative morbidity and risk of decrease in quality of life and functioning.34 The practice-based design of our study favors it being representative for other hospitals. In addition, the general content of the EASY-GO training and working method makes the intervention, after only small changes, for example regarding information provision, applicable for other diagnoses and departments. We used relevant patient-reported experiences to evaluate the EASY-GO intervention. Specifically in clinical trials concerning patient-centered care, experience measures compared to outcomes measures are of additional value as quality indicators for personalized medicine.3537 Moreover, patients and relatives were blinded for the training status of their surgeon. After training, patients received a geriatric screening including discussion of patients’ life goals and treatment goals, which at least somewhat prepared patients for the consultation with their surgeon.28,29 Learning opportunities were optimal since our training was based on practice-based learning13,38 and comprised a short workshop including role plays with an actor and training-on-the-job.39

The study also has relevant limitations. We used a pragmatic pilot study with different patient groups before and after training, which complicated the interpretation of the results and possibly have obscured the effect of the intervention. We excluded all surgeons who only consulted patients before or after training reducing the sample size. In addition, only about half of the surgeons were trained decreasing the likelihood to demonstrate a positive effect of the intervention. However, in this pilot study, we aimed to present proof of concept of a training intervention such as the EASY-GO intervention including its practical barriers in order to optimize future study designs. Therefore, we did not intend to achieve appropriate target enrollment for statistical significance. With a voluntary training, we expect that the most motivated surgeons in SDM participated. This may have reduced the positive effect of the training due to relatively good initial SDM performance.33 Patients were seen by consultants or residents and PREMs were evaluated for different diagnoses, which both may have had an independent effect on the outcomes. Nevertheless, we found no significant differences in PREMs between consultants and residents at baseline and we additionally analyzed PREMs among PC patients who were all seen by trained consultants. Unclear is why CRC senior consultants as role models did not participate in the EASY-GO training. One reason may be an overestimation of their own SDM skills.40 Alternatively, the inclusion of several colon cancer patients with a less rigorous impact of the surgical procedure on quality of life may have resulted in a non-recognized equipoise of treatment options and unrecognized added value of the intervention. Due to time limits and logistic issues, one of the researchers accomplished most geriatric screenings instead of the nurse specialists. However, the nurse specialist was always present during the consultation with the surgeon corresponding to regular care and the researcher accomplished only the geriatric screening which may have limited a potential bias effect. Besides, the geriatric screening for nurse specialists was time-consuming: we planned 60 minutes per patient. However, screenings went more quickly with increasing practical experience, which made the screening more doable and acceptable for clinical practice.

Because of the practical potential of the intervention’s concept and besides the limitations of our study design, we recommend to further investigate the effect of the EASY-GO intervention in a randomized controlled design on a larger scale using a mandatory training. Because of the promising results among PC patients, we recommend to start with this target group. Since the implementation of SDM and screening of the older patient’s context are connected with each other,7 we advise to deliver both components simultaneously, for example, with help from nurse specialists. Ideally, it would also be investigated which component of the EASY-GO intervention can contribute to what extent. Expanding and repeating the training-on-the-job period is desirable to maximize the learning effect. Since the geriatric screening lasted 30 minutes per patient for nurse specialists, time- and cost-related investments should be explored, as well as possibilities for defrayment and the most optimal interdisciplinary collaboration.

Conclusion

Results of this pilot study strengthen the idea that (the implementation of) a SDM training such as the EASY-GO intervention may have potential benefit among older surgical cancer patients.

Acknowledgments

This work was funded by the Dutch Cancer Society.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

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