| Literature DB >> 29486730 |
Mariya Melnychuk1, Cecilia Vindrola-Padros2, Michael Aitchison3, Caroline S Clarke4, Naomi J Fulop1, Claire Levermore5, Satish B Maddineni6,7, Caroline M Moore8, Muntzer M Mughal9, Catherine Perry10, Kathy Pritchard-Jones11,12, Angus I G Ramsay1, David Shackley13, Jonathan Vickers14, Stephen Morris1.
Abstract
BACKGROUND: The centralisation of specialist cancer surgical services across London Cancer and Greater Manchester Cancer, England, may significantly change how patients experience care. These centres are changing specialist surgical pathways for several cancers including prostate, bladder, kidney, and oesophago-gastric cancers, increasing the specialisation of centres and providing surgery in fewer hospitals. While there are potential benefits related to centralising services, changes of this kind are often controversial. The aim of this study was to identify factors related to the centralisation of specialist surgical services that are important to patients, carers and health care professionals.Entities:
Keywords: Cancer surgery; Centralisation; Determinants; Implementation; Preferences; Service reorganisation; Survey
Mesh:
Year: 2018 PMID: 29486730 PMCID: PMC6389051 DOI: 10.1186/s12885-018-4137-8
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Characteristics of survey participants
| London | Greater Manchester ( | Total | |
|---|---|---|---|
| Sub-group | |||
| PPI | 11 | 8 | 19 |
| HCP | 5 | 28 | 33 |
| PPI sub-group | |||
| Patient | 10 | 6 | 16 |
| Carer | 1 | 1 | 2 |
| Not answered | 0 | 1 | 1 |
| HCP sub-group | |||
| Clinical nurse specialist | 2 | 2 | 4 |
| Dietician | 2 | 0 | 2 |
| Surgeon | 1 | 5 | 6 |
| Radiologist | 0 | 2 | 2 |
| Oncologist | 0 | 5 | 5 |
| Other | 0 | 4 | 4 |
| Not answered | 0 | 10 | 10 |
PPI patient and public involvement, HCP health care professional
Equal-weighted ranking of factors (1 = highest ranked, 16 = lowest ranked)
| Rank | PPI sub-group | HCP sub-group | All respondents |
|---|---|---|---|
| 1 | Waiting time for a surgery | Access to staff members from various disciplines with specialised skills in cancer | Waiting time for a surgery |
| 2 | Highly trained staff | Highly trained staff | Highly trained staff |
| 3 | Access to most up-to-date facilities and equipment | Waiting time for a surgery | Access to staff members from various disciplines with specialised skills in cancer |
| 4 | Core specialist team working 24/7 | aLikelihood and severity of complications | Core specialist team working 24/7 |
| 5 | aReadmissions to hospital | aCore specialist team working 24/7 | Access to most up-to-date facilities and equipment |
| 6 | aAccess to staff members from various disciplines with specialised skills in cancer | Access to most up-to-date facilities and equipment | aLikelihood and severity of complications |
| 7 | Number of specialist cancer surgical procedures | aNumber of specialist cancer surgical procedures | aReadmissions to hospital |
| 8 | Participation in clinical trials | aReadmissions to hospital | Number of specialist cancer surgical procedures |
| 9 | Likelihood and severity of complications | Training opportunities for surgical staff | Participation in clinical trials |
| 10 | Probability of dying from cancer | Participation in clinical trials | aProbability of dying from cancer |
| 11 | Travel time to hospital | Length of stay at hospital | aTraining opportunities for surgical staff |
| 12 | aLength of stay at hospital | aProbability of dying from cancer | Travel time to hospital |
| 13 | aNumber of surgical staff in local area | aIndirect effect on non-cancer surgical services | Length of stay at hospital |
| 14 | aIndirect effect on non-cancer surgical services | Travel time to hospital | Indirect effect on non-cancer surgical services |
| 15 | Number of centres in the local area | Number of surgical staff in local area | Number of surgical staff in local area |
| 16 | Training opportunities for surgical staff | Number of centres in the local area | Number of centres in the local area |
| Kappa = 0.1145 | Kappa = 0.1430 | Kappa = 0.1295 |
PPI Patient and public involvement, HCP Health care professional
adenotes tied rankings
Rank-weighted ranking of factors (1 = highest ranked, 16 = lowest ranked)
| Rank | PPI sub-group | HCP sub-group | All respondents |
|---|---|---|---|
| 1 |
|
|
|
| 2 |
|
|
|
| 3 |
|
|
|
| 4 |
|
|
|
| 5 | Core specialist team working 24/7 | Number of specialist cancer surgical procedures | Core specialist team working 24/7 |
| 6 | Access to most up-to-date facilities and equipment | Core specialist team working 24/7 | Number of specialist cancer surgical procedures |
| 7 | Number of specialist cancer surgical procedures | Readmissions to hospital | Readmissions to hospital |
| 8 | Probability of dying from cancer | Probability of dying from cancer | Probability of dying from cancer |
| 9 | Readmissions to hospital | Participation in clinical trials | Access to most up-to-date facilities and equipment |
| 10 | Travel time to hospital | Access to most up-to-date facilities and equipment | Participation in clinical trials |
| 11 | Length of stay at hospital | Travel time to hospital | Travel time to hospital |
| 12 | Participation in clinical trials | Length of stay at hospital | Length of stay at hospital |
| 13 |
|
|
|
| 14 |
|
a
|
|
| 15 |
|
a
|
|
| 16 |
|
|
|
| Kappa = 0.0114 | Kappa = 0.0281 | Kappa = 0.0278 |
PPI Patient and public involvement, HCP Health care professional
adenotes tied rankings. Four most important rank-weighted factors in bold; four least important rank-weighted factors in italics