Literature DB >> 9676544

Identifying potential need for cancer palliation in Nova Scotia.

G M Johnston1, L Gibbons, F I Burge, R A Dewar, I Cummings, I G Levy.   

Abstract

OBJECTIVE: To assess the degree to which Nova Scotia cancer patients who may need palliative care are being referred to the comprehensive Halifax-based Palliative Care Program (PCP).
METHODS: The authors conducted a retrospective, population-based study using administrative health data for all adults in Nova Scotia who died of cancer from 1988 to 1994. Proportions and odds ratios (ORs) were used to determine where there were differences in age, sex, place of residence, cancer cause of death, year of death and use of palliative radiotherapy between those who were referred to the PCP at the Halifax Infirmary and those who were not, and between those who were referred late (within 14 days of death) and those who were referred earlier.
RESULTS: Of the 14,494 adults who died of cancer during the study period, 2057 (14.2%) were registered in the PCP. Within Halifax County, 1582 (36.4%) of the 4340 patients with terminal cancer were seen in the PCP. Predictors of PCP registration were residence in Halifax County (OR 19.2, 95% confidence interval [CI] 15.4-23.9), younger age compared with those 85 years of age or older (for those 20-54 years of age, OR 4.9, 95% CI 3.2-7.6; 55-64 years, OR 3.4, 95% CI 2.2-5.1; 65-74 years, OR 3.1, 95% CI 2.1-4.5; 75-84 years, OR 2.1, 95% CI 1.4-3.1), and having received palliative radiation (OR 1.8, 95% CI 1.5-2.2). PCP referral was associated directly with head and neck cancer (OR 5.4, 95% CI 3.0-9.7) and inversely with hematopoietic (OR 0.2, 95% CI 0.4-0.9), lymph node (OR 0.3, 95% CI 0.1-0.4) and lung (OR 0.6, 95% CI 0.4-0.9) cancer. Predictors of late referral (being referred to the PCP within 14 days of death) were age 65-84 years (OR 1.4, 95% CI 1.1-1.8) and 85 years and over (OR 1.8, 95% CI 1.1-3.0), no palliative radiation (OR 2.0, 95% CI 1.4-3.1) and cancer cause of death. People dying within 6 months of diagnosis were somewhat less likely to have been referred to the PCP (OR 0.8, 95% CI 0.6-0.9), but those who were referred were more likely to have been referred late (OR 2.6, 95% CI 2.0-3.5).
INTERPRETATION: Referral to the PCP and earlier rather than late referral were more likely for younger people with terminal cancer, those who received palliative radiation and those living closer to the PCP. Referral rates also varied by cancer cause of death and the time between diagnosis and death.

Entities:  

Mesh:

Year:  1998        PMID: 9676544      PMCID: PMC1229439     

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


  10 in total

1.  The epidemiology of palliative care in cancer.

Authors:  F Burge
Journal:  J Palliat Care       Date:  1992       Impact factor: 2.250

2.  Survival of Medicare patients after enrollment in hospice programs.

Authors:  N A Christakis; J J Escarce
Journal:  N Engl J Med       Date:  1996-07-18       Impact factor: 91.245

3.  The role of radiation therapy in palliative care.

Authors:  P Kirkbride
Journal:  J Palliat Care       Date:  1995       Impact factor: 2.250

4.  Caring at the end of our lives.

Authors:  J Lynn
Journal:  N Engl J Med       Date:  1996-07-18       Impact factor: 91.245

5.  Home and inpatient hospice care of terminal head and neck cancer patients.

Authors:  Y P Talmi; M Bercovici; A Waller; Z Horowitz; A Adunski; J Kronenberg
Journal:  J Palliat Care       Date:  1997       Impact factor: 2.250

6.  Regional variation in nonmedical factors affecting family physicians' decisions about referral for consultation.

Authors:  G R Langley; S Minkin; J E Till
Journal:  CMAJ       Date:  1997-08-01       Impact factor: 8.262

7.  Factors associated with length of survival among 1081 terminally ill cancer patients.

Authors:  P Allard; A Dionne; D Potvin
Journal:  J Palliat Care       Date:  1995       Impact factor: 2.250

8.  A population-based study of the coverage of cancer patients by hospice services.

Authors:  R Hunt; K McCaul
Journal:  Palliat Med       Date:  1996-01       Impact factor: 4.762

9.  Pain and its treatment in outpatients with metastatic cancer.

Authors:  C S Cleeland; R Gonin; A K Hatfield; J H Edmonson; R H Blum; J A Stewart; K J Pandya
Journal:  N Engl J Med       Date:  1994-03-03       Impact factor: 91.245

10.  Medicare payments from diagnosis to death for elderly cancer patients by stage at diagnosis.

Authors:  G F Riley; A L Potosky; J D Lubitz; L G Kessler
Journal:  Med Care       Date:  1995-08       Impact factor: 2.983

  10 in total
  15 in total

Review 1.  End-of-life population study methods.

Authors:  G M Johnston; F I Burge; C J Boyd; M MacIntyre
Journal:  Can J Public Health       Date:  2001 Sep-Oct

2.  Identifying population groups with low palliative care program enrolment using classification and regression tree analysis.

Authors:  Jun Gao; Grace M Johnston; M Ruth Lavergne; Paul McIntyre
Journal:  J Palliat Care       Date:  2011       Impact factor: 2.250

3.  Can the introduction of an integrated service model to an existing comprehensive palliative care service impact emergency department visits among enrolled patients?

Authors:  Beverley J Lawson; Frederick I Burge; Paul McIntyre; Simon Field; David Maxwell
Journal:  J Palliat Med       Date:  2009-03       Impact factor: 2.947

4.  Trends in the place of death of cancer patients, 1992-1997.

Authors:  Frederick Burge; Beverley Lawson; Grace Johnston
Journal:  CMAJ       Date:  2003-02-04       Impact factor: 8.262

5.  Comparing enrolees with non-enrolees of cancer-patient navigation at end of life.

Authors:  G Park; G M Johnston; R Urquhart; G Walsh; M McCallum
Journal:  Curr Oncol       Date:  2018-06-28       Impact factor: 3.677

6.  A population-based study of age inequalities in access to palliative care among cancer patients.

Authors:  Frederick I Burge; Beverley J Lawson; Grace M Johnston; Eva Grunfeld
Journal:  Med Care       Date:  2008-12       Impact factor: 2.983

7.  Factors associated with multiple transitions in care during the end of life following enrollment in a comprehensive palliative care program.

Authors:  Beverley Lawson; Frederick I Burge; Patrick Critchley; Paul McIntyre
Journal:  BMC Palliat Care       Date:  2006-05-30       Impact factor: 3.234

8.  Determine the therapeutic role of radiotherapy in administrative data: a data mining approach.

Authors:  Jina Zhang-Salomons; Greg Salomons
Journal:  BMC Med Res Methodol       Date:  2015-02-03       Impact factor: 4.615

9.  Patterns of health care utilization preceding a colorectal cancer diagnosis are strong predictors of dying quickly following diagnosis.

Authors:  Robin Urquhart; Grace Johnston; Mohamed Abdolell; Geoff A Porter
Journal:  BMC Palliat Care       Date:  2015-01-20       Impact factor: 3.234

10.  Palliative radiotherapy utilization for cancer patients at end of life in British Columbia: retrospective cohort study.

Authors:  Jin Huang; Elaine S Wai; Francis Lau; Paul A Blood
Journal:  BMC Palliat Care       Date:  2014-11-18       Impact factor: 3.234

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.