Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar

GET THE APP

Journal of Community Medicine & Health Education - Analysis of Oncologists and Patients Communication During Different Consultations
ISSN: 2161-0711

Journal of Community Medicine & Health Education
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Analysis of Oncologists and Patients Communication During Different Consultations

Criscuolo MG1*, Luciana C2, Stefano CD3 and Marfe G1
1Department of Biochemistry, Biophysics, and General Pathology, University of Campania “Luigi Vanvitelli”, Naples, Italy
2National Institute of Statistics (ISTAT), Rome, Italy
3Department of Hematology, “Tor Vergata” University, Rome, Italy
*Corresponding Author: Criscuolo MG, Department of Biochemistry, Biophysics, and General Pathology, University Of Campania "Luigi Vanvitelli", Italy, Tel: +390815665640, Fax: +39081450169, Email: mariagrazia.criscuolo1982@gmail.com

Received: 09-Sep-2018 / Accepted Date: 17-Sep-2018 / Published Date: 20-Sep-2018 DOI: 10.4172/2161-0711.1000626

Keywords: Oncologists; Patients communication; Trust; Awareness; Therapy; Cancers; Consultations

Introduction

Cancer is a very complex disease, and it is perceived as a lifethreatening illness by both patients and their families. Despite biomedical progress, successful treatment depends on different factors such as access to care, the complexities of the healthcare system, social support, effective management and good communication with multiple providers. After the abandonment of the paternalistic approach, it is important to underline that the relationship between cancer patients and oncologists has to be empathic to allow the patient to convey highly personal matters in a safe environment [1,2]. Many studies have shown that this communication is a very complex process that depends on the goals that doctors and patients try to pursue [3-5]. Therefore, the oncologist should establish a proper and deep relationship with patient to avoid failure or refusal of therapy [6]. In two reviews, the authors have suggested that patients’ trust in their oncologists is correlated with both the optimistic acceptance of a vulnerable situation and the belief that oncologists will choose the best therapy [7,8]. As discussed in different reports, this relationship is considered asymmetric because of the patients’ vulnerability, induced by illness [7-9]. Different studies indicated that trusting patients were more satisfied [10-12] more adherent [13-15], more involved in decision making [15] and less inclined to request a second opinion [16,17]. However, individual characteristics, and personality traits of the patient can influence the oncologist-patient interaction [18,19]. ]Nevertheless, different studies reported that the task of the oncologist is not solely repeated truthful information but is also to consider the patient ’ s vulnerable situation during the consultations [20-22]. For example, a qualitative study [23] indicated that the cancer patients trusted their oncologists when they understood very well their conditions since they had perceived to receive correct information about their disease and their treatment. However, some researchers suggested that preferences for the amount and type of information could vary among the patients. Naturally, the oncologists need to adapt their information during the oncological consultation in order to accommodate the different preferences among the patients [23,24]. D’Agostino et al. [25] reported that young adults patients preferred to have information about their treatment and infertility risks. In numerous cases, many patients preferred to find online information about their diagnosis. Some authors have demonstrated that 36% of melanoma patients were willing to have an online conversation with their oncologist, and 40% of patients with various cancers (lung, breast, cervix, testis, liver, pancreas, and colon) had online discussions [26-28]. In line with these results, Helft et al. [29] showed that young cancer patient with high level of education preferred to have an online interview with their oncologists. However, some authors have pointed out that the cancer patients could increase their psychological distress when received too much information about their disease and treatment [30]. Two different studies, carried out in India and Korea, showed that distress was significantly less common in unaware patients of their cancer when compared with aware patients [31,32]. Other studies reported no difference between aware and unaware cancer patients with regard to psychological distress [33]. Conversely, other data demonstrate that exact information could improve treatment adherence, levels of satisfaction with care and decrease levels of psychological distress such as anxiety and depression [34-37]. Another study observed two groups of women with breast cancer: The first group had to undergo a surgery without option of choice (including a radical mastectomy and conservative intervention) during the intervention. In the second group, properly informed by the surgeon on various surgical options, the patients had an “option of choice”. The cancer patients of the second group showed a lower level of anxiety and depression with respect to those of the first group [38]. In this context, patients who had detailed information about their cancer diagnosis, their treatment options, and their prognosis were more aware compared with those who had less information. For example, some authors demonstrated that patients underwent chemotherapy when they understood the benefits of therapy despite side effects [39]. Understanding some aspects if this relationship can be important to improve the ability of oncologists to give the right information. By means of thematic interviews, the main objective of this study is to investigate the possible association between oncologist-patient ’ trust and awareness.

Methods

Study design and participants

The study was approved by the Ethics Committee of the Medical Faculty of the University of Naples. All patients participating in the study gave written informed consent. This study was conducted between 2014 and 2016 in a sample of 446 cancer patients that was recruited from University of Naples. Participants provided information about their age, gender, marital status, education level. Details of cancer site, cancer stage, time in treatment and treatments received were obtained from patients’ medical records (Table 1).

Procedure

Informed consent was obtained from all individual participants included in this study. Prior to the initial oncological consultation. The questionnaires were self-administered after first consultation (T0), after 6 (T6) and 12 months (T12). Most of them filled out the questionnaire without help. Patients’ trust in oncologists were measured using single 5-point scales (Table 2). Furthermore, information preferences and treatment goals were evaluated in all cancer patients (Table 3) in the three oncological consultations.

Statistical analysis

We used a multinomial logistic regression (SAS software) to explore the relationship among patients’ trust and awareness and the sociodemographic characteristics surveyed with the questionnaires. More specifically, in model named A, the variable trust (identified by the question q2.5 in the questionnaire) was the outcome and the sociodemographic characteristics were the predictors. In model B, the outcome was the variable awareness (identified by the question q3.2 and q3.3 alternatively in the model) and the socio-demographic variables were the independent variables. Both for the model A and B, the significant variables were identified with a forward selection at a significant level of 1%. The models were estimated at time T0 (first consultation), T6 (consultation after 6 months) and T12 (consultation after 12 months).

Results

Socio-demographic characteristics

At the time of the first visit, all patients filled out a brief socio demographic questionnaire. Among our patient sample (pts.=446), the mean age was 56 years (S.D. 11.76) and there were slightly more females (53.4% n=238) than males (46.6% n=208), respectively (Table 1). The 53.8% of participants were employed, and 35.6 were not employed and 10.5% were retired. Furthermore, the 40.1% of patients had a low education, while 59.8% had a high education (Table 1). The most common cancer type was breast cancer (32.5%) among the females’ patients, followed by colon rectal cancer (20.8%) of the 208 male patients, 31.7% (n=66) were with prostate and testicular gem-cell cancers. Most patients had in situ /local (79.3%), in situ and distant (2.6%), regional (10.5%) or distal (7.3%) cancers and they had received surgical, surgical/chemotherapeutical or surgical/radiological (57.16%) treatment (Table 1). All patients were informed about their diagnosis in accordance with their oncologists.

Characteristic  No. Percentage (%)
Age/years
Mean 54.54  
S.D. 11.23; Range=32-89  
<60 123 27.57%
>60 323 72.42%
Sex
Female 238 53.36%
Male 208 46.63%
Marital status Male
Unmarried 170  38.11%
Married 258 57.84%
Divorced 18 4.03%
Education
Less than high school 179 40.13%
High school and above 267 59.86
Employment
Yes 240 53.81%
No 206 46.16%
Cancer type
Stomach  30  6.72%
Lung  74  16.59%
Liver  42  9.41%
Colon/rectum  93 20.85%
Breast  77 32.35% (Female 238)
Cervix  36 15.12% (Female 238)
Pancreas 28 6.27%
Prostate 40 19.23% (Male 208)
Testicular germ-cells (TGCs) 26 12.5%
 SEER stage
In situ 196  43.94%
In situ and local  158  35.42%
In situ and distant 12 2.69%
Regional  47 10.53%
Distant 33 7.39%
Treatment received
Surgery  57 130.04%
Chemotherapy  124 27.80%
Radiotherapy 16 3.58%
Surgery+Chemoterapy 181 40.80%
Surgery+Radiotherapy 15 3.36%
Chemoth+Radioth 38 8.29%
Nothing 14 3.13%

Table 1: Characteristics of participating patients (n=446).

Patients’ trust during the three oncological consultations (T0, T6 and T12)

In our model, all patients answered the questionnaire during the three different consultations (T0, T6 and T12) (Table 2). During the first consultation (T0), among the patients, 37% (pts. 168) trusted their oncologist” a lot”, whereas 50% (pts. 223) and 12% (pts. 55) trusted their oncologist “a moderate amount” and “a little”, respectively. Furthermore, the patients reported that their oncologist listened to them in this way: 27% very much, 43% moderately well and 29% slightly well or not at all well”. mortality rate 8.29%) 407 patients answered again the questionnaire. During this oncological consultation, 69% of participants (pts. 201) trusted their oncologist” a lot”, whereas 24% (pts. 144) and 5% (pts. 62) trusted their oncologist “a moderate amount” and “a little, respectively. Furthermore, 49% said that their oncologist listened to them very much, 35% said moderately well and 15% said slightly well or not at all well. Finally, after one year (T12), mortality rate 19.05%) 359 patients answered the questionnaire. 78% of participants (pts. 263) trusted their oncologist a lot, whereas 17% (pts. 62) and 3% (pts. 14) trusted their oncologist a moderate amount and a little, respectively. Furthermore, 53% said that their oncologist listened to them very much, 36% said moderately well and 10% said slightly well or not at all well. Finally, we noted that the level of the patients’ trust increased during the three consultations (37% T0, 69% T6 and 78% T12).

N°.2 Questions Score
1 How helpful is your doctor at explaining your medical condition(s)?

1) Extremely helpful 
2) Very helpful
3) Moderately helpful 
4) Slightly helpful 
5) Not at all helpful 
5
4
3
2
1
2 How well does your doctor explain how to occur your therapy?

1) Extremely well
2) Very well 
3) Moderately well
4) Slightly well
5) Not at all well 
5
4
3
2
1
3 How well does your doctor answer your questions?

1) Extremely well
2) Very well 
3) Moderately well
4) Slightly well
5) Not at all well 
5
4
3
2
1
4 How well does your doctor listen to you?

1) Extremely well
2) Very well 
3) Moderately well
4) Slightly well
5) Not at all well 
5
4
3
2
1
5 How much do you trust your doctor to make medical decisions that are in your best interests?

1) A great deal 
2) A lot 
3) A moderate amount
4) A little 
5) Not at all well
5
4
3
2
1
6 Overall, are you satisfied with your doctor, dissatisfied with your doctor, or neither satisfied nor dissatisfied?

1) Extremely satisfied
2)  Quite satisfied 
3) Neither satisfied nor dissatisfied 
4)  Quite dissatisfied 
5) Extremely dissatisfied
5
4
3

2
1

Table 2: Measures of experience and trust of disclosure in cancer patients.

Prognostic awareness and information preferences during the three oncological consultations (T0, T6 and T12)

In our model, all patients answered the questionnaire in three different consultations (T0, T6 and T12) (Table 3). During the first consultation (T0), the majority of participants affirmed that it was extremely or very (39% pts. 154) or somewhat important (54% pts. 241) to know about their prognosis whereas the remaining 6% perceived that cancer diagnosis was a little important or not so important (pts. 31). Additionally, most participants (about 54% pts. 239) affirmed that they preferred not to hear a lot of details related to their cancer and its treatment, while 7% (pts. 32) preferred not to hear details about their cancer and its treatment (3% affirmed that they preferred not to hear details and 4% they answered no idea/do not know). In addition, approximately 36% (pts. 159) felt that they currently had the right amount of information about their prognosis and treatment, whereas 4% (pts. 16) wanted to know more. During the second consultation (after six months), among participants (407) (37 patients had died and 2 were absent), the 66% (pts. 266) of participants affirmed that it was extremely or very important, to know about their prognosis. The 30% (pts. 123) affirmed that it was somewhat important to know about their prognosis, whereas the remaining 4% perceived that cancer diagnosis was a little important or not so important (pts. 17). A percentage of participants (about 27% pts. 111) affirmed that they preferred not to hear a lot of details related to their cancer and its treatment, while 4% (pts. 16) preferred not to hear details about their cancer and its treatment (2% affirmed that they preferred not to hear details and 2% they answered no idea/do not know). In addition, approximately 63% of patients (pts. 257) felt that they currently had the right amount of information about their prognosis and treatment, whereas 54% (pts. 23) wanted to know more. After 12 months (T12), 359 patients participated to this oncological consultation, while 87 patients had died (mortality rate 19.05%). The 69% (pts. 251) of participants declared that it was extremely or very important to know about their prognosis. The 26% (pts. 95) declared that it was somewhat important to know about their prognosis whereas the remaining 3% perceived that cancer diagnosis was a little important or not so important (pts. 13). The 19% of participants (pts. 68) declared that that they preferred not to hear a lot of details related to their cancer and its treatment, while 2% (pts. 7) preferred not to hear details about their cancer and its treatment (1% affirmed that they preferred not to hear details and 1% they answered no idea/do not know). In addition, approximately 72% (pts. 262) felt that they currently had the right amount of information about their prognosis and treatment, whereas 6% (pts. 22) wanted to know more. Over time, we found a noteworthy rise in the number of patients that had the right amount of information about their prognosis and treatment (36% in T0, 63% in T6 and 72% in T12).

N°. 3 Questions Score
1 How likely do you think you will be cured of your cancer?

1) Likely
2) Almost  likely
3) Unlikely
4) Very Unlikely 
5) No idea/don't know 
5
4
3
2
1
2 How important for you to know about your prognosis?

1) Extremely important
2) Very important 
3) Somewhat important
4) A little important
5) Not at all important
5
4
3
2
1
3 Patients preferences for detail about cancer diagnosis and treatment

1) I want to hear as many details as possible
2) I want to hear the right amount of details 
3) I prefer not to hear a lot of details
4) I prefer not to hear details
5) No idea/don't know 
5
4
3
2
1
4 Patients primary treatment goals

1) To cure my cancer
2) To extend my life as soon as possible
3) For  me and/my family to be able keep hoping 
4) To lessen suffering as much as possible
5) To make sure I have done everything


5
4
3
2
1

Table 3: Information preferences and treatment goals in cancer patients.

Statistical analysis

We used a multinomial logistic regression to explore the relationship among patients’ trust and awareness and the sociodemographic characteristics surveyed with the questionnaires. More specifically, in model named A, the variable trust (identified by the question q2.5 in the questionnaire) is the outcome and the sociodemographic characteristics are the predictors. In model B, the outcome is the variable awareness (identified by the question q3.2 and q3.3 included alternatively in the model) and the socio-demographic variables are the independent variables. Both for the model A and B, the significant variables were identified with a forward selection at a significant level of 1%. The models were estimated at time T0 (first consultation), T6 (consultation after 6 months) and T12 (consultation after 12 months).

Our findings showed that trust in the oncologists was associated with patients’ sex and high education, during the first consultation (T0). Female patients trusted more in their oncologists when compared to male patients and, also, the patients with a high education trusted more in their own oncologist with respect to the patients with a low education. Additionally, trust in the oncologists was also correlated with patients’ sex (female) and high education during the other two consultations (Tables 4 and 5).

Outcome variable AIC SC -2logL Test of the global null hypothesis: β=0 (likelihood ratio) Analysis of the effects
Chi Square DF Pr>Chi Square Effect DF Chi Square Pr>Chi Square
Trust T0 1016.15 1065.35 992.15 130.6 8 <0.0001 Sex 4 50.06 <0.0001
Education 4 51.61 <0.0001
Trust  T6 915.14 963.25 891.14 73.92 8 <0.0001 Sex 4 26.15 <0.0001
Education 4 32.35 <0.0001
Trust T12 725.1 760.05 707.1 61.36 6 <0.0001 Sex 3 23.18 <0.0001
Education 3 28.35 <0.0001
Awareness  T0 (q3.2) 870.55 919.76 846.55 87.87 8 <0.0001 Sex 4 38.57 <0.0001
Education 4 38.79 <0.0001
Awareness T6 (q3.2) 792.47 840.57 768.47 31.63 8 0.0001 Sex 4 17.89 0.0013
Education 4 9.8 0.0439
Awareness T0 (q3.3) 874.67 874.67 874.67 84.02 8 <0.0001 Sex 4 36.15 <0.0001
Education 4 38.24 <0.0001

Table 4: Model A and B statistics of the estimated models (significant level: 0.01).

Outcome variable Level of Trust (q2.5 Estimates Standard error P-value (Pr>Chi Square) Odds ration
t0  t6 t12   t0 t6 t12 t0 t6 t12   t0 t6 t12
Intercept 1 -2.27 -28.85 -0.7 1.05 1179.2 0.53 0.03 0.98 0.18  -  -  -
Intercept 2 0.75 -0.28 0.47 0.37 0.46 0.38 0.04 0.53 0.2  -  -  -
Intercept 3 1.48 0.89 1.74 0.33 0.35 0.32 <0.0001 0.01 <0.0001  -  -  -
Intercept 4 0.64 1.66 1.75 0.37 0.33 0.62 0.08 <0.0001 0.005  -  -  -
Sex (M vs F) 1 2.68 14.7 1.65 1.28 818.6 0.39 0.04 0.98 <0.0001 14.64 >999.99 5.76
Sex (M vs F) 2 2 1.84 1.45 0.45 0.53 0.32 <.0001 0.0005 <.0001 7.38 6.31 5.25
Sex (M vs F) 3 2.26 1.65 -2.77 0.35 0.34 0.68 <0.0001 <0.0001 <0.0001 9.55 5.22 4.29
Sex (M vs F) 4 1.11 1.43 -1.85 0.39 0.31 0.42 0 <0.0001 <0.0001 3.04 4.19 0.06
Educ (H vs L) 1 -15.53 11.43 -1.73 502.2 848.8 0.36 0.98 0.98 <0.0001 0 >999.9 0.15
Educ (H vs L) 2 -3.25 -2.93 -0.7 0.48 0.58 0.53 <0.0001 <0.0001 0.18 0.04 0.05 0.17
Educ (H vs L) 3 -1.72 -1.82 0.47 0.37 0.39 0.38 <0.0001 <0.0001 0.2 0.18 0.16 5.76
Educ (H vs L) 4 -0.97 -1.71 1.74 0.4 0.36 0.32 0.02 <0.0001 <0.0001 0.38 0.17 5.25

Table 5: Model A-Model’s parameters estimates and the impact of socio-demographic variables on the trust.

As the model B, we observed that patients’ awareness was significantly correlated with patients’ sex (female) and high education, during the first consultation (T0-q2.3 and q3.3) and the second consultation (T6 only q2.3). Female patients were more aware about their disease when compared to male patients as well as the patients with high education were more aware about their disease with respect to the patients with low education (Tables 4 and 6). No significant association was found among awareness, sex and high education after 12 months (T12) since the patients were more likely to know their real disease stage and their therapy.

Outcome variables Level of Trust (q2.5) Estimates Standard error P-value (Pr>Chi Square) Odds ratio
t0 (q3.2) t6 (q3.2) t0 (q3.3) t0 (q3.2) t6 (q3.2) t0 (q3.3) t0 (q3.2) t6 (q3.2) t0 (q3.3) t0 (q3.2) t6 (q3.2) t0 (q3.3)
Intercept 1 0.24 -0.19 0.23 0.77 0.76 0.78 0.75 0.8 0.76  -  -  -
Intercept 2 0.19 -2.17 0.25 0.75 1.25 0.75 0.8 0.08 0.73  -  -  -
Intercept 3 3.03 2.3 3.03 0.6 0.51 0.6 <0.0001 <0.0001 <0.0001  - -  --
Intercept 4 2.33 2.83 2.32 0.61 0.5 0.61 0 <0.0001 0  -  - -
Sex (M vs F) 1 3.24 1.37 3.14 0.96 0.81 0.97 0 0.09 0 25.48 3.94 23.12
Sex (M vs F) 2 2.25 1.98 2.37 0.94 1.18 0.93 0.02 0.09 0.01 9.51 7.25 10.72
Sex (M vs F) 3 2.24 0.51 2.21 0.77 0.47 0.77 0 0.28 0 9.36 1.67 9.14
Sex (M vs F) 4 1.04 0.04 1.07 0.78 0.45 0.78 0.18 0.92 0.17 2.84 1.05 2.93
Educ (H vs L) 1 -3.12 -2.74 -3.02 0.92 0.94 0.92 0 0 0 0.04 0.07 0.05
Educ (H vs L) 2 -1.52 -0.55 -1.65 0.85 1.01 0.83 0.07 0.59 0.05 0.22 0.58 0.19
Educ (H vs L) 3 -1.47 -1.29 -1.46 0.67 0.54 0.67 0.03 0.02 0.03 0.23 0.27 0.23
Educ (H vs L) 4 -0.24 -0.6 -0.24 0.67 0.53 0.67 0.72 0.25 0.72 0.79 0.55 0.79

Table 6: Model B-Model’s parameters estimates and the impact of socio-demographic variables on the awareness.

Discussion

A diagnosis of cancer is often perceived by the patient such a disease with uncertain course Furthermore, the patient can be overwhelmed by the discussion of cancer staging and the complex therapy. For this reason, both the prognosis and the goals of the treatment could not be understood by the patients and many oncologists could be unaware of these misunderstandings. Different researches highlighted that patients’ trust could be enhanced through non-verbal cues such as eye contact or facial expressions of oncologists [40]. Furthermore, the mounting use of computers during the consultations could create some problem, when the oncologist did not maintain eye contact with their patients [41]. In addition, some oncologist preferred to keep a physical distance towards the patient, and this behavior could be perceived by the patients in negative way [42]. Finally, the smiling within a medical consultation could transmit signals of trust and friendship to strengthen the relationship between oncologist and patient [43]. Collaborative communication could represent a mutual dynamic relationship, which involves the exchange of two-way information [44] Although the literature underlines that a good communication can positively influence the outcome of the treatment, it is very difficult to understand which domains of communication are involved in this relationship. Moreover, different studies have found that an effective communication is associated with a decrease of patient concerns about treatment. Specifically, right information about the cancer and the treatment can help the patient to be more upbeat and have a better quality of life. Furthermore, patients trust can be influenced by oncologists’ ability both to listen them and to respond to their questions. Previous studies have shown that warm communication can reduce distress and improve patients’ trust and adherence to oncologists recommendations [45]. In our study, during the three different oncology consultations, we examined the patients’ trust in their oncologist in a sample of 446 patients. We observed that the trust was correlated with patients’ sex and high education, during the first consultation (T0). Specifically, female patients trusted more their oncologists when compared to male patients. In addition, the trust was stronger among higher educated patients when compared with lower educated patients. We found the same positive association (the trust with patients’ sex (female) and high education) after six (T6) and 12 (T12) months. Furthermore we reported that the patients’ level of trust in their oncologists increased during the second (T6 69%) and third (T12 78%) consultation, compared to that of patients during the first consultation (T0 37%). These data could suggest that the increased level of trust, during the second and third consultations, could be related with both increased patient self-reported health and the positive results obtained during the first year of treatment Finally, we found that the patients’ perception about their oncologists’ ability to listen to them increased during the second and third consultation (T6 and T12). These results seemed to be very interesting since oncologists spent more time with their patients in the second and third consultations (Figures 1 and 2). In this way, patients and oncologists knew each other better and therefore they were able to improve their relationship through an empathic communication. However, it occurred because the oncologists needed to listen more to their patients about their general health conditions, while patients had a great need to have more information about the efficacy of the therapy. Certainly, a good communication plays a crucial role to establish patient trust, and, can help patients to absorb information about prognosis and therapy. However, empathic communication is not sufficient to help the patients during the treatment, and an adequate social support is necessary to face important needs of the patients (symptoms, coping strategies, adherence to treatment recommendations). In this study we also analyzed the prognostic awareness of the patients during the three consultations. We found that 39% of patients wanted to know every detail about their prognosis, in the first consultation (T0), whereas we noticed that 66% and 69% of patients wanted to know every detail about their prognosis, in the second (T6) and third consultation (T12), respectively. Therefore, cancer patients had a strong preference that the oncologists gave them every detail about their cancer stage and their therapy before disclosing information to their family members. Moreover, our results showed a significant association between patients’ awareness with patients’ sex (female) and high education, during the first consultation (T0) and the second consultation (T6). We did not find such association after 12 months (T12), since we supposed that the patients were more likely to know their cancer and their therapy. The oncologists may help patients cope better with their cancer through clear and empathic discussions, However, the emotional burden cannot be discharged only on the oncologists because the cancerpatients meet different healthcare professions such as radiographers, radiologists, medical laboratory scientists, pathologists, psychology. A number of studies underscore most of cancer patients and their family suffered from psychological distress even when they were able to carry on with a reasonably normal life. The prevalence of psychological distress varies by type of cancer, time since diagnosis, degree of physical and role impairment, amount of pain, prognosis, and other variables. In Italy, psycho-oncology services have long been established in cancer institutes and in some hospitals and health agencies. The Italian Society of Psycho-oncology (www.siponazionale.it) has had an influence in enlightening the national institute about the need for psycho-social approach in cancer care. In the report on cancer rehabilitation promoted by The Federation of Cancer Patients Associations and supported by the Ministry of Health and Social Policy, the recommendation regarding the right of all cancer patients to receive proper psycho-social support was particularly stressed (www.favo.it). The National Cancer Plane 2010-2012 and the Ministry’s document “Reducing the Burden of Cancer 2011-2013” have followed this recommendation (www.salute.gov.it). The way in which psycho-oncology service within the national and regional/local health services should be routinely implemented, however, has yet to be determined [32]. Then, taking care of a cancer patients it means not only to provide the best therapy but to get help with emotional and spiritual problems during and after cancer treatment. A primary goal should include a psycho-social oncology service in order to manage the psychological/behavioural, social and spiritual aspects of illness and its consequences, but this is lacking in several Italian cancer centers. Furthermore, patients can suffer an additional distress when they move between different areas of diagnosis, treatment, and when they meet shifts of staff each day. An accurate hand-over (or hand-off) of clinical information among care teams might avoid a misunderstanding and an inappropriate treatment, potential harmful to the patients.

community-medicine-health-education-Supplementary-data

Figure 1: Supplementary data for time with their patients.

community-medicine-health-education-Communications-outcomes

Figure 2: Communications and outcomes.

Limitations

This study reports on the experience of great number of patients that have different type of cancer

Conclusions

In summary, our data showed that oncologists could significantly increase cancer patients' trust through three different oncological consultations since the patients, who had known their oncologist for a year, acquired more trust. After a year, both patient and oncologists were able to better build their relationship: The oncologists listened more to them to understand data on patient adherence and manage treatment side effects, whilst the patients wanted all possible information on their cancer and their therapy. Furthermore, we believe that the same oncologist oversees the same patient throughout diagnosis and treatment to develop a deep and personal relationship.

“Eyes that meet you in silence speaking louder than words……… in a mutual conversation of deep emotions …. the smile of terminally ill cancer patient I will keep forever in my heart. This emotional human component of my job no book will teach me…. this is the most valuable side of my job that I should not forget along my path.

However, it is very difficult to live in our land, called The triangle of Death, where many children, adults and elderly persons continue to die of cancer every day. “Doctor Luigi Costanzo”.

Authors’ Contributions

MGC and GM designed the study, analyzed and interpreted the data, CD made critical advices to the conception and design of the study. LC contributes the data collection and statistical analysis and revised the manuscript. All authors read and approved the final manuscript.

Acknowledgments

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

References

  1. Tremolada M, Schiavo S, Varotto S, Basso G, Pillon M (2015) Patient satisfaction in italian childhood cancer survivors: Human aspects of treatment as a key factor in patients' quality of life. Health Soc Work 40: e148-e155.
  2. Harris R, Wathen N, Wyatt S (2010) Configurating health consumers health work and the imperative of personal responsibility. London: Palgrave Mcmillan 113-126.
  3. Giroldi E, Veldhuijzen W, Geelen K, Muris J, Bareman F, et al. (2017) Developing skilled doctor patient communication in the workplace: A qualitative study of the experiences of trainees and clinical supervisors. Adv in Health Sci Educ 22: 1263-1278.
  4. Korthagen FAJ (2001) Linking practice and theory: The pedagogy of realistic teacher education. Mahwah, NJ: Lawrence Erlbaum Associates.
  5. Schuwirth LW, Van der Vleuten CP (2011) Programmatic assessment: From assessment of learning to assessment for learning. Med Teach 33: 478-485.
  6. Huntington B, Kuhn N (2003) Communication gaffes: A root cause of malpractice claims. Proc (Bayl Univ Med Cent) 16: 157-161.
  7. Hall MA, Dugan E, Zheng B, Mishra AK (2001) Trust in physicians and medical institutions: What is it, can it be measured, and does it matter? Milbank Quarterly 79: 613-639.
  8. Müller E, Zill J, Dirmaier J, Härter M, Scholl I (2014) Assessment of trust in physician: A systematic review of measures. PLoS One 9: e106844.
  9. Abrams DL, Weil AT (2014) Integrative oncology. Oxford University Press.
  10. Thom DH, Ribisl KM, Stewart A, Luke DA (1999) Further validation and reliability testing of the trust in physician scale. Med Care 37: 510-517.
  11. Hall MA, Zheng BY, Dugan E, Camacho F, Kidd KE, et al. (2002) Measuring patients' trust in their primary care providers. Med Care Res Rev 59: 293-318.
  12. Hillen MA, de Haes HC, Smets EM (2011) Cancer patients’ trust in their physician-a review. Psychooncology 20: 227-241.
  13. Safran DG, Taira DA, Rogers WH, Kosinski M, Ware JE, et al. (1998) Linking primary care performance to outcomes of care. J Fam Pract 47: 213-220.
  14. O'Malley AS, Sheppard VB, Schwartz M, Mandelblatt J (2004) The role of trust in use of preventive services among low-income African-American women. Prev Med 38: 777-785.
  15. Trachtenberg F, Dugan E, Hall MA (2005) How patients' trust relates to their involvement in medical care. J Fam Pract 54: 344–352.
  16. Balkrishnan R, Dugan E, Camacho FT, Hall MA (2003) Trust and satisfaction with physicians, insurers, and the medical profession. Med Care 41: 1058-1064.
  17. Hillen MA, Koning CC, Wilmink JW, Klinkenbijl JHG, Eddes EH, et al. (2012) Assessing cancer patients' trust in their oncologist: Development and validation of the trust in oncologist scale (TiOS). Supportive Care Cancer 20: 1787-1795.
  18. Taha SA, Matheson K, Paquet L, Verma S, Anisman H (2011) Trust in physician in relation to blame, regret, and depressive symptoms among women with a breast cancer experience. J Psychosoc Oncol 29: 415-429.
  19. Hinnen C, Pool G, Holwerda N, Sprangers M, Sanderman R, et al. (2014) Lower levels of trust in one’s physician is associated with more distress over time in more anxiously attached individuals with cancer. Gen Hosp Psychiatry 36: 382-387.
  20. Innes S, Payne S (2009) Advanced cancer patients’ prognostic information preferences: A review. Palliat Med 23: 29-39.
  21. Perakyla A (1991) Hope work in the care of seriously ill patients. Qual Health Res 11: 407-433.
  22. Salander P, Bergknut M, Henriksson R (2014) The creation of hope in patients with lung cancer. Acta Oncol 53: 1205-1211.
  23. Hillen MA, de Haes HC, van Tienhoven G, Bijker N, van Laarhoven HW, et al. (2015) All eyes on the patient: The influence of oncologists' nonverbal communication on breast cancer patients' trust. Breast Cancer Res Treat 153: 161-171.
  24. Jefford M, Tattersall MH (2002) Informing and involving cancer patients in their own care. Lancet Oncol 3: 629-637.
  25. Goss C, Ghilardi A, Deledda G, Buizza C, Bottacini A, et al. (2013) Involvement of breast cancer patients during oncological consultations: A multicentre randomised controlled triat the INCA study protocol. BMJ Open 3: e002266.
  26. D'Agostino NM, Penney A, Zebrack B (2011) Providing developmentally appropriate psychosocial care to adolescent and young adult cancer survivors. Cancer 117: 2329-2334.
  27. Bylund CL, Gueguen JA, D'Agostino TA, Li Y, Sonet E (2010) Doctor-patient communication about cancer-related internet information. J Psychosoc Oncol 28: 127-142.
  28. Maddock C, Lewis I, Ahmad K, Sullivan R (2011) Online information needs of cancer patients and their organizations. Ecancermedicalscience 5: 235.
  29. Helft PR, Eckles RE, Johnson-Calley CS, Daugherty CK (2005) Use of the internet to obtain cancer information among cancer patients at an urban county hospital. J Clin Oncol 23: 4954-4962.
  30. Costantini A, Grassi L, Picardi A, et al. (2015) Awareness of cancer, satisfaction with care, emotional distress, and adjustment to illness: An Italian multicenter study. Psychooncology 24: 1088-1096.
  31. Shin DW, Kim SY, Cho J, et al. (2011) Discordance in perceived needs between patients and physicians in oncology practice: A nationwide survey in Korea. J Clin Oncol 29: 4424-4429.
  32. Chittem M, Norman P, Harris PR (2013) Relationships between perceived diagnostic disclosure, patient characteristics, psychological distress and illness perceptions in Indian cancer patients. Psycho-Oncology 22: 1375-1380.
  33. Barnett MM (2006) Does it hurt to know the worst? Psychological morbidity, information preferences and understanding of prognosis in patients with advanced cancer. Psychooncology 15: 44-45.
  34. Jorgensen IL, Frederiksen K, Boesen E, Elsass P, Johansen C (2009) An exploratory study of associations between illness perceptions and adjustment and changes after psychosocial rehabilitation in survivors of breast cancer. Acta Oncol 48: 1119-1127.
  35. Husson O, Thong MS, Mols F, Oerlemans S, Kaptein AA, et al. (2013) Illness perceptions in cancer survivors: What is the role of information provision? Psychooncology 22: 490-498.
  36. McCorry NK, Dempster M, Quinn J, Hogg A, Newell J, et al. (2013) Illness perception clusters at diagnosis predict psychological distress among women with breast cancer at 6 months post diagnosis. Psychooncology 22: 692-698.
  37. Hopman P, Rijken M (2015) Illness perceptions of cancer patients: Relationships with illness characteristics and coping. Psychooncology 24: 11-18.
  38. Keating NL, Weeks JC, Borbas C, Guadagnoli E (2003) Treatment of early stage breast cancer: Do surgeons and patients agree regarding whether treatment alternatives were discussed?. Breast Cancer Res Treat 79: 225-231.
  39. El-Jawahri A, Traeger L, Park ER, Greer JA, Pirl WF, et al. (2014) Associations among prognostic understanding, quality of life, and mood in patients with advanced cancer. Cancer 120: 278-285.
  40. Harmon G, Lefante J, Krousel-Wood M (2006) Overcoming barriers: The role of providers in improving patient adherence to antihypertensive medications. Curr Opin Cardiol 21: 310-315.
  41. Duke P, Frankel RM, Reis S (2013) How to integrate the electronic health record and patient-centered communication into the medical visit: A skills-based approach. Teach Learn Med 25: 358-365.
  42. Bensing J, Tromp F, Dulme S, Brink Muinen AVD, Verheul W, et al. (2006) Shifts in doctor-patient communication between 1986 and 2002: A study of videotaped general practice consultations with hypertension patients. BMC Fam Pract 7: 62.
  43. Henry SG, Fuhrel-Forbis A, Rogers MA, Eggly S (2012) Association between nonverbal communication during clinical interactions and outcomes: A systematic review and meta-analysis. Patient Educ Couns 86: 297-315.
  44. Feudtner C (2007) Collaborative communication in pediatric palliative care: A foundation for problem-solving and decision-making. Pediatr Clin North Am 54: 583-607.
  45. Farias AJ, Ornelas IJ, Hohl SD, Zeliadt SB, Hansen RN, et al. (2017) Exploring the role of physician communication about adjuvant endocrine therapy among breast cancer patients on active treatment: A qualitative analysis. Support Care Cancer 25: 75-83.

Citation: Criscuolo MG, Luciana C, Stefano CD, Marfe G (2018) Analysis of Oncologists and Patients Communication During Different Consultations. J Community Med Health Educ 8: 626. DOI: 10.4172/2161-0711.1000626

Copyright: © 2018 Criscuolo MG, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top