| Literature DB >> 33294479 |
Mumen Abdalazim Dafallah1, Esraa Ahmed Ragab1, Mahmoud Hussien Salih1, Wail Nuri Osman1, Roaa Omer Mohammed1, Mugtaba Osman2, Mohamed H Taha3, Mohamed H Ahmed4.
Abstract
BACKGROUND: Breaking bad news is an important task for doctors in different specialties. The aim of the study was to assess adherence of Sudanese doctors to the SPIKES protocol in breaking bad news.Entities:
Keywords: Sudan; breaking bad news
Year: 2020 PMID: 33294479 PMCID: PMC7719559 DOI: 10.3934/publichealth.2020058
Source DB: PubMed Journal: AIMS Public Health ISSN: 2327-8994
Demographic characteristic of participants.
| Frequency | % | |
| Age | ||
| Less than 30 years | 113 | 58.9 |
| From 31 to 40 years | 51 | 26.6 |
| More than 41 years | 28 | 14.5 |
| Gender | ||
| Male | 91 | 47.4 |
| Female | 101 | 52.6 |
| Clinical position | ||
| Consultants | 40 | 20.8 |
| Registrars | 96 | 50 |
| Medical officers | 56 | 29.2 |
| Specialty | ||
| Medicine | 39 | 20.3 |
| General surgery | 25 | 13 |
| Obstetrics and gynecology | 32 | 16.7 |
| Pediatric | 22 | 11.5 |
| Pediatric surgery | 11 | 5.7 |
| Orthopedic | 23 | 12 |
| Urology | 11 | 5.7 |
| Nephrology | 10 | 5.2 |
| Oncology | 11 | 5.2 |
| ENT | 8 | 4.2 |
Showing answers to different questions (knowledge, training and experience) about breaking bad news.
| Item | Yes (%) | No (%) |
| 1. Have you ever received any education/training for breaking bad news? | 108 (56.3%) | 84 (43.8%) |
| 2. Have you ever broken bad news to patients or patients' family | 183 (95.3%) | 9 (4.7%) |
| 3. Did you have any bad experiences due to improperly breaking bad news? | 84 (43.8%) | 108 (56.3%) |
| 4. Do you prefer to talk with a patient or the family members when you break bad news? | Patient | Family & patient |
| 5. Do you believe that bad news should be delivered directly to the patient? | 126 (65.6%) | 66 (34.4%) |
| 6. Do you feel training is needed for adequate skill development in breaking bad news | 182 (94.8%) | 10 (5.2%) |
| 7. Are you willing to attend training regarding breaking bad news in the future? | 183 (95.3%) | 9 (4.7%) |
Participants' Adherence to SPIKES protocol.
| Item | Never (%) | Sometimes (%) | Usually (%) |
| 1 S. Do you set up (plan) the interview for the patient to feel comfortable and keep privacy? | 9 (4.7%) | 85 (44.3%) | 98 (51%) |
| 2 P. Do you assess the patient's perception (what he already knows) about the condition? | 6 (3.1%) | 65 (33.9%) | 121 (63%) |
| 3 I. Do you obtain the patient's invitation (ask him what they want to know)? | 26 (13.5) | 94 (49%) | 72 (37.5%) |
| 4 K. Do you give knowledge and information to the patient about its condition? | 0 | 40 (20.8%) | 152 (79.2%) |
| 5 E. Do you assess the patient's emotions with emphatic responses? | 7 (3.6%) | 77 (40.1%) | 108 (56.3%) |
| 6 S. Do you explain future strategy including treatment options and prognosis? | 3 (1.6%) | 46 (24%) | 143 (74.5%) |
In terms of following SPIKES protocols, we summed up the score for the six SPIKES responses. This gives a potential total of 12 for perfect adherence to the protocol. The mean score was 9.3 (SD = 1.78). The responses ranged between 4 and 12, and the median was 10. The maximum of 12 was achieved by (n = 23, 12%) doctors.
| SPIKES score | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Count | 1 | 4 | 12 | 10 | 27 | 40 | 48 | 27 | 23 |
| Percentage | 0.5% | 2.1% | 6.3% | 5.2% | 14.1% | 20.8% | 25% | 14.1% | 12% |
Figure 1.showed the SPIKES protocol with potential of 12 for perfect adherence to the protocol. Consultants, registrars, obstetrician and gynecologists and surgeons achieved high scores in breaking bad news. Training is an important factor in achieving high score in SPIKES protocol.
The unadjusted effect of background factors on SPIKES score, only training has significant impact on protocol adherence (P = 0.03416, unadjusted; and P = 0.038 adjusted).
| Unadjusted analysis | Adjusted mixed linear analysis | ||||||
| Factor | Effect (mean) | t test/F value | P value | Estimate | Standard Error | t value | P value |
| Training | |||||||
| Yes | 9.593 | 2.136 | 0.034 | 0.549 | 0.264 | 2.076 | 0.038 |
| No | 9.036 | Reference | |||||
| Discipline | |||||||
| Medical | 9.300 | 0.093 | 0.964 | ||||
| Surgical | 9.423 | Random effect | NA | NA | NA | ||
| Obstetrics | 9.250 | ||||||
| Paediatrics | 9.364 | ||||||
| Rank | 0.494 | ||||||
| Consultant | 9.575 | 0.708 | Reference | NA | NA | NA | |
| Registrar | 9.375 | 0.002 | 0.548 | 0.004 | 0.997 | ||
| Medical officer | 9.143 | −0.165 | 0.633 | −0.261 | 0.794 | ||
| Gender | 0.887 | ||||||
| Female | 9.366 | 0.143 | Reference | NA | NA | NA | |
| Male | 9.330 | −0.069 | 0.281 | −0.245 | 0.806 | ||
| Age Category | |||||||
| Less than 30 | 9.212 | 0.814 | 0.445 | −0.221 | 0.353 | −0.627 | 0.502 |
| 30–40 | 9.529 | Reference | NA | NA | NA | ||
| Over 40 | 9.571 | 0.141 | 0.573 | 0.246 | 0.806 | ||