| Literature DB >> 28096171 |
Catriona Rachel Mayland1, Helen Mulholland1, Maureen Gambles1, John Ellershaw1, Kevin Stewart2.
Abstract
BACKGROUND: The National Care of the Dying Audit-Hospitals (NCDAH) is used as a method to evaluate care for dying patients in England. An additional component to the 2013/2014 audit was the Local Survey of Bereaved Relatives Views using the 'Care Of the Dying Evaluation' (CODE) questionnaire. AIM: Within the context of the NCDAH audit, to evaluate quality of care provided to dying patients and their families in acute hospitals from the perspective of bereaved relatives.Entities:
Keywords: Service evaluation; Terminal care; post-bereavement survey; proxy; quality of healthcare
Mesh:
Year: 2017 PMID: 28096171 PMCID: PMC5574388 DOI: 10.1136/bmjspcare-2014-000810
Source DB: PubMed Journal: BMJ Support Palliat Care ISSN: 2045-435X Impact factor: 3.568
Figure 1(National) Case note review data for May 2013.
Figure 2(National) Analysis of code survey questionnaire: 1 May–31 July 2013.
Demographic information for deceased patients
| Demographic for deceased patients within local survey (n=858) | Demographic for deceased patients within case note review (n=6580) | |||
|---|---|---|---|---|
| n | % | n | % | |
| Diagnosed illnesses during the last days of life (n=858) | ||||
| Cancer (including leukaemia and lymphoma) | 265 | 31 | 1546 | 23 |
| Heart failure | 228 | 27 | 499 | 8 |
| COPD | 162 | 19 | 439 | 7 |
| End-stage renal (or kidney) disease | 118 | 14 | 114 | 2 |
| Dementia | 114 | 13 | 181 | 3 |
| Motor neuron disease | 4 | 0.5 | 57 | 1 |
| Do not know | 30 | 3 | NA | NA |
| Something else | 235 | 27 | 3744 | 57 |
| Age in years (n=816) | Median patient age 82 (IQR 73–88) | |||
| 18–19 | 0 | 0 | 0 | 5 |
| 20–29 | 1 | 0.1 | 0 | 10 |
| 30–39 | 1 | 0.1 | 0 | 33 |
| 40–49 | 6 | 1 | 2 | 122 |
| 50–59 | 32 | 4 | 5 | 299 |
| 60–69 | 102 | 13 | 11 | 697 |
| 70–79 | 218 | 27 | 24 | 1568 |
| 80+ | 456 | 56 | 58 | 3846 |
| Ethnicity (n=809) | ||||
| White British | 780 | 96 | 89 | 5870 |
| Mixed white/black Caribbean | 0 | 0 | 0 | 24 |
| White Irish | 8 | 1 | 1 | 58 |
| Mixed white/black African | 1 | 0.1 | 0 | 1 |
| White other | 14 | 2 | 2 | 121 |
| Mixed white/Asian | 0 | 0 | 0 | 1 |
| Indian | 1 | 0.1 | 1 | 61 |
| Mixed other | 0 | 0 | 0 | 13 |
| Pakistani | 0 | 0 | 1 | 39 |
| Black Caribbean | 0 | 0 | 1 | 55 |
| Bangladeshi | 0 | 0 | 0 | 11 |
| Black African | 2 | 0.2 | 1 | 35 |
| Asian other | 1 | 0.1 | 1 | 56 |
| Black other | 0 | 0 | 0 | 3 |
| None of these | 2 | 0.2 | 4 | 232 |
| Gender (n=782) | ||||
| Male | 395 | 51 | 49 | 3248 |
| Female | 387 | 49 | 51 | 3332 |
| Religious affiliation (n=805) | ||||
| None | 109 | 14 | 29 | 1882 |
| Christian | 678 | 84 | 65 | 4252 |
| Hindu | 0 | 0 | 1 | 46 |
| Buddhist | 2 | 0.2 | 0 | 16 |
| Jewish | 5 | 1 | 1 | 49 |
| Muslim | 1 | 0.1 | 1 | 94 |
| Sikh | 1 | 0.1 | 0 | 24 |
| Any other religion | 9 | (9) | 3 | 217 |
Demographic information for participants who completed CODE questionnaire
| Demographic (n=858) | ||
|---|---|---|
| n | % | |
| Relationship to patient (n=825) | ||
| Husband/wife/partner | 387 | 47 |
| Son/daughter | 366 | 44 |
| Brother/sister | 24 | 3 |
| Son-in-law/daughter-in-law | 6 | 1 |
| Parent | 11 | 1 |
| Friend | 1 | 0.1 |
| Neighbour | 1 | 0.1 |
| Staff in nursing or residential home | 0 | 0 |
| Warden (sheltered accommodation) | 1 | 0.1 |
| Other | 28 | 3 |
| Age in years (n=822) | ||
| 18–19 | 0 | 0 |
| 20–29 | 5 | 1 |
| 30–39 | 8 | 1 |
| 40–49 | 80 | 10 |
| 50–59 | 194 | 24 |
| 60–69 | 248 | 30 |
| 70–79 | 179 | 22 |
| 80+ | 108 | 13 |
| Ethnicity (n=817) | ||
| White British | 794 | 97 |
| Mixed white/black Caribbean | 2 | 0.2 |
| White Irish | 6 | 1 |
| Mixed white/black African | 1 | 0.1 |
| White other | 7 | 1 |
| Mixed white/Asian | 1 | 0.1 |
| Indian | 1 | 0.1 |
| Mixed other | 0 | 0 |
| Pakistani | 0 | 0 |
| Black Caribbean | 2 | 0.2 |
| Bangladeshi | 0 | 0 |
| Black African | 1 | 0.1 |
| Asian other | 1 | 0.1 |
| Black other | 0 | 0 |
| None of these | 1 | 0.1 |
| Gender (n=801) | ||
| Male | 278 | 35 |
| Female | 523 | 65 |
| Religious affiliation (n=806) | ||
| None | 117 | 15 |
| Christian | 676 | 84 |
| Hindu | 0 | 0 |
| Buddhist | 3 | 0.4 |
| Jewish | 5 | 1 |
| Muslim | 1 | 0.1 |
| Sikh | 1 | 0.1 |
| Any other religion | 3 | 0.4 |
Aspects of symptom control and communication with the healthcare team (HCT) as perceived by the bereaved relatives*
| Local survey of bereaved relatives (n=858) | ||
|---|---|---|
| The control of pain and other symptoms | n | % |
| 10. In your opinion, during the last 2 days, did s/he appear to be in pain? (n=845) | ||
| Yes, all of time | 76 | 9 |
| Yes, some of time | 335 | 40 |
| No, s/he did not appear to be in pain | 434 | 51 |
| Missing data | 13 | 1.5 |
| 11. In your view, did the doctors and nurses do enough to help relieve the pain? (n=833) | ||
| Yes, all of time | 437 | 52 |
| Yes, some of time | 193 | 23 |
| No, not at all | 34 | 4 |
| Not applicable, s/he was not in pain | 169 | 20 |
| Missing data | 25 | 2.9 |
| 12. In your opinion, during the last 2 days, did s/he appear to be restless? (n=844) | ||
| Yes, all of time | 112 | 13 |
| Yes, some of time | 399 | 47 |
| No, s/he did not appear to be restless | 333 | 39 |
| Missing data | 14 | 1.6 |
| 13. In your view, did the doctors and nurses do enough to help relieve the restlessness? (n=830) | ||
| Yes, all of time | 282 | 34 |
| Yes, some of time | 255 | 31 |
| No, not at all | 54 | 7 |
| Not applicable, s/he was not restless | 239 | 29 |
| Missing data | 28 | 3.3 |
| 14. In your opinion, during the last 2 days, did s/he appear to have a ‘noisy rattle’ to his/her breathing? (n=833) | ||
| Yes, all of time | 130 | 16 |
| Yes, some of time | 274 | 33 |
| No, s/he did not have a ‘noisy rattle’ to the breathing | 429 | 52 |
| Missing data | 25 | 2.9 |
| 15. In your view did the doctors and nurses do enough to help relieve the ‘noisy rattle’ to his/her breathing? (n=807) | ||
| Yes, all of time | 188 | 23 |
| Yes, some of time | 169 | 21 |
| No, not at all | 59 | 7 |
| Not applicable, s/he was not restless | 391 | 48 |
| Missing data | 51 | 5.9 |
| Communication with the HCT | N | % |
| 8. The nurses had time to listen and discuss his/her condition with me | ||
| Strongly agree | 290 | 34 |
| Agree | 336 | 40 |
| Neither agree nor disagree | 90 | 11 |
| Disagree | 82 | 10 |
| Strongly disagree | 49 | 6 |
| Missing data | 11 | 1.3 |
| 9. The doctors had time to listen and discuss his/her condition with me | ||
| Strongly agree | 284 | 34 |
| Agree | 326 | 39 |
| Neither agree nor disagree | 101 | 12 |
| Disagree | 78 | 9 |
| Strongly disagree | 43 | 5 |
| Missing data | 26 | 3.0 |
| 16. During the last 2 days how involved were you with the decisions about his/her care and treatment? (n=839) | ||
| Very involved | 402 | 48 |
| Fairly involved | 237 | 28 |
| Not involved | 200 | 24 |
| Missing data | 19 | 2.2 |
| 17. Did any of the healthcare team discuss with you whether giving fluids through a ‘drip’ would be appropriate in the last 2 days of life? (n=818) | ||
| Yes | 323 | 39 |
| No | 411 | 50 |
| Do not know | 84 | 10 |
| Missing data | 40 | 4.7 |
| 18. Would a discussion about the appropriateness of giving fluids through a ‘drip’ in the last 2 days of life have been helpful? (n=791) | ||
| Yes | 279 | 35 |
| No | 230 | 29 |
| Not applicable, we had these types of discussion | 282 | 36 |
| Missing data | 67 | 7.8 |
| 23. Before s/he died, were you told s/he was likely to die? | ||
| Yes | 616 | 74 |
| No | 219 | 26 |
| Missing data | 23 | 2.7 |
| 24. Did a member of the healthcare team talk to you about what to expect when s/he was dying (eg, symptoms that may arise)? | ||
| Yes | 377 | 46 |
| No | 438 | 54 |
| Missing data | 43 | 5.0 |
| 25. Would a discussion about what to expect when s/he was dying have been helpful? | ||
| Yes | 355 | 44 |
| No | 141 | 17 |
| Not applicable, we had these types of discussion | 314 | 39 |
| Missing data | 48 | 5.6 |
*Missing data are presented as exact numbers (and percentages) for each of the questions within the tables. The cases of missing data were then excluded from all subsequent analysis and ‘valid’ percentages were calculated. Hence, the percentages within the tables are >100%.
Clinical audit results about anticipatory prescribing for symptom management and key pertinent end-of-life discussions
| Clinical audit results (n=6580) | ||
|---|---|---|
| n | % | |
| 5a. At the time of the patient's death, is there documented evidence that medication was prescribed (PRN) for the key symptoms that may develop in the last hours and days of life? | ||
| I. Pain (missing data=5, 0.1%) | 5314 | 81 |
| II. Agitation (missing data=5, 0.1%) | 4730 | 72 |
| III. Noisy breathing (missing data=5, 0.1%) | 4258 | 65 |
| 2b. Discussions regarding awareness of patients imminent death held with relatives (n=5722)* | 5313 | 93 |
| 3d. Discussions regarding the plan of care for the dying phase held with relative/friends or IMCA (missing data=3, 0.05%) | 4780 | 73 |
| 8e. A discussion regarding hydration options/care was undertaken with the relative, following recognition that the patient was expected to die in the coming hours or days (n=5722)* | 2051 | 36 |
*Only applicable if patient was recognised by healthcare professional to be dying.
Overall impressions of care and support*
| Local survey of bereaved relatives (n=858) | ||
|---|---|---|
| n | % | |
| 29a. How much of the time was s/he treated with respect and dignity in the last 2 days of life?—By doctors (n=815) | ||
| Always | 535 | 66 |
| Most of the time | 105 | 13 |
| Some of the time | 63 | 8 |
| Never | 25 | 3 |
| Do not know | 87 | 11 |
| Missing data | 43 | 5.0 |
| 29b. How much of the time was s/he treated with respect and dignity in the last 2 days of life?—By nurses (n=823) | ||
| Always | 577 | 70 |
| Most of the time | 131 | 16 |
| Some of the time | 76 | 9 |
| Never | 21 | 3 |
| Do not know | 18 | 2 |
| Missing data | 35 | 4.1 |
| 30. Overall, in your opinion, were you adequately supported during his/her last 2 days of life? (n=802) | ||
| Yes | 610 | 76 |
| No | 192 | 24 |
| Missing data | 56 | 6.5 |
*Missing data are presented as exact numbers (and percentages) for each of the questions within the tables. The cases of missing data were then excluded from all subsequent analysis and ‘valid’ percentages were calculated. Hence, the percentages within the tables are >100%.