| Literature DB >> 35387640 |
Gemma Clarke1, Emma Chapman2, Jodie Crooks2, Jonathan Koffman3, Shenaz Ahmed4, Michael I Bennett2.
Abstract
BACKGROUND: Racial disparities in pain management have been observed in the USA since the 1990s in settings such as the emergency department and oncology. However, the palliative care context is not well described, and little research has focused outside of the USA or on advanced disease. This review takes a cross-national approach to exploring pain management in advanced disease for people of different racial and ethnic groups.Entities:
Keywords: Advanced disease; Ethnicity; Health inequalities; Mixed methods; Pain; Pain management; Palliative care; Race; Systematic review
Mesh:
Year: 2022 PMID: 35387640 PMCID: PMC8983802 DOI: 10.1186/s12904-022-00923-6
Source DB: PubMed Journal: BMC Palliat Care ISSN: 1472-684X Impact factor: 3.234
Cross-tabulation illustrating eligibility criteria for included studies
| Setting | •Top 20 UN Human Development Index (HDI) ranked ‘Very High’ •English as one national language •Any healthcare setting or service, e.g. primary, emergency, palliative, community etc | •Country outside of UN HDI ‘Very High’ ranking •Non-English language speaking |
| Population | •Patients, or proxy discussions of real patients •Advanced stage of any incurable lifespan-limiting condition or disease •All ethnic, racial or cultural groupings as defined within the paper •With pain related to disease or treatment •Adults 18 years + | •Discussions of hypothetical patients •Non lifespan-limiting conditions, or curable disease •Acute injury or trauma patients only •Chronic, psychological or spiritual pain only •Children/paediatric |
| Study design | •Any qualitative or quantitative method •Vignette or preference studies that are based on real life experience of pain and disease/condition | •Vignette, hypothetical or preferences of a healthy population •Case series and single case reports •No new empirical data or new analyses |
| Comparison | • • | •A paper with one racial or ethnic group which contains no explicit focus, and no description of racial or cultural or ethnic or linguistic factors as they pertain to pain management within that group |
| Publication | •Publication from year 2000 onwards •Published within a peer-reviewed journal •English language publication | •Data older than 10 years before first eligible publication date of the year 2000 •Abstract publication only •Unpublished •Non-English language •Opinion pieces, reviews, editorials |
| Quantitative primary outcome measure | •Statistically or clinically significant difference in the level of received pain medication by racial or ethnic group •Including both standardised measures such as Pain Management Index (PMI); and within-study designed measurements | •Qualitative •No comparison between groups |
Fig. 1PRISMA 2020 flow diagram of included papers
Crosstabulation illustrating summary of all included studies (N = 46)
| No | First author Country | Study population and (N) | Ethnic groups1 (%)2 | Disease groups | Setting | Summary method and aims | WoE3 |
|---|---|---|---|---|---|---|---|
| 1 | Anderson USA 2000 [ | Patients (108) Clinicians (55) | African American (41%) Hispanic (59%) White (68%) African American (17%) Asian/ Pacific Islander (11%) Other (4%) | Cancer | Hospital—outpatients | Patient questionnaire survey to determine pain needs, including pain measures and PROMs. Clinician survey on pain management to determine attitudes | H |
| 2 | Anderson USA 2002 [ | Patients (31) | African American (45%) Hispanic (55%) | Cancer | Hospital – outpatient oncology clinic | Qualitative structured interview with pain measure rating to explore barriers to pain management | H |
| 3 | Bell USA 2011 [ | Patients (4,658) | White (43%) Asian (34%) Hawaiian/Pacific Islander (18%) Other (5%) | Cancer | Hospital—inpatient | Clinical data analysis including pain measures, to examine ethnic disparities in pain outcomes after palliative care consultations | H |
| 4 | Booker USA 2020 [ | Patients (64) | African American (50%) Caucasian (50%) | Cancer | Hospice—inpatient | Secondary matched data analysis examining ethnic differences. Data drawn from an RCT of cancer pain management interventions | H |
| 5 | Green USA 2009 [ | Patients (96) | White (71%) Black (21%) Native American (4%) Hispanic (3%) Arabic (2%) Black/Native American (1%) | Cancer | Hospital—outpatient | Longitudinal cohort pain survey to examine ethnic differences. Including PROMs and pain measures at 3 time points | H |
| 6 | Koffman UK 2008 [ | Patients (45) | Black Caribbean (58%) White British (42%) | Cancer | Hospital inpatient, outpatient, community palliative care | Semi-structured qualitative interview to examine ethnic meanings attributed to cancer pain | H |
| 7 | Laguna USA 2014 [ | Patients (385) | White (46%) Black (25%) Latino (29%) | Cancer Heart Failure Heart Disease Dementia | Hospital – from inpatient to outpatient | Longitudinal study of pain consultation intervention to examine ethnic differences, with data collected at 4 time points | H |
| 8 | Lamba USA 2020 [ | Patients (17,957) | White (75%) African American (11%) Hispanic (7%) Asian (7%) | Cancer—Brain metastases | All – Medicare data | Retrospective analysis of data to evaluate prevalence of medication utilisation, and assess potential racial disparities in prescriptions of such medications | H |
| 9 | McGrath Australia 2006 [ | Patients (10) Carers (19) Aboriginal health workers (11) Healthcare professionals (30) Interpreter (2) | Aboriginal (100%) | Not reported | Community | Qualitative semi-structured interviews to explore and document issues associated with pain management for Aboriginal people | H |
| 10 | Wilkie USA 2017 [ | Patient-Caregiver dyads (161) | Caucasian (49%) African Amer (34%) Asian Amer (< 1%) Other (13%) Multi-race (2%) Unknown (1%) | Cancer | Home hospice care | Cross-sectional study of pain management barriers, data from an RCT of home hospice | H |
| 11 | Anderson USA 2004 [ | Patients (97) | African American (43%) Hispanic (57%) | Cancer | Hospital—outpatient | RCT of pain management education intervention, including PROMs and pain measures. Evaluation of the efficacy for minority patients | M |
| 12 | Carter USA 2006 [ | Physicians (40) | African American (60%) Caucasian (40%) | All EOL care | Primary care, oncology, cardiology | Semi-structured interview examining physicians’ perceptions of patients’ preferences, comprising quantitative and qualitative components | M |
| 13 | Cea USA 2016 [ | Patients (3,918) | Non-Hispanic White (84%) Non-Hispanic Black (11.1%) Hispanic (3%) Other race/ethnicity (2%) | Cancer and non-cancer | Hospice discharge of home health and hospice | Secondary analysis of national hospice survey data, examining pain assessments, management and outcomes | M |
| 14 | Check USA 2016 [ | Patients (883) | White (85%) Black (15%) | Cancer | All settings – Medicare data | Retrospective analysis of Medicare data to examine ethnic disparities | M |
| 15 | Chung USA 2016 [ | Patients (161) | African American (9%) Asian/Other (9%) Caucasian (48%) Hispanic/Latino (33%) | Cancer COPD Heart Failure Liver Failure Organ failure | Hospital – inpatient | Retrospective clinical data analysis, including pain measures, to examine ethnic disparities | M |
| 16 | Edrington USA 2009 [ | Patients (50) | Chinese American (100%) | Cancer | Hospital—outpatient | PROMs questionnaire survey with pain measures examining barriers to pain management | M |
| 17 | Fisch USA 2012 [ | Patients (3,123) (2,026 in analysis) | White (77%) Hispanic/Latino (9%) Black (12%) Asian (1%) Other minority (1%) | Cancer | Hospital—outpatient | Prospective study of pain, symptoms and prescribing, with pain measurements at two time points | M |
| 18 | Fischer USA 2007 [ | Patients (217) | African American (13%) White (68%) Hispanic White (9%) Other (1%) Unknown (10%) | Cancer | Hospital—inpatient | Retrospective analysis of clinical data from veterans’ hospital to determine ethnic differences in EOL care | M |
| 19 | Gerlach USA 2021 [ | Patients (554,022) | Non-Hispanic White (88%) Non-Hispanic Black (8%) Hispanic (2%) | Cancer Heart disease Dementia, Respiratory disease Stroke | Hospices | Prevalence study of class-specific psychotropic and opioid prescriptions | M |
| 20 | Gurney New Zealand 2021 [ | Patients (20,081) | Māori (20%) Non- Māori (80%) | Lung cancer | All – New Zealand Cancer Registry data | Retrospective analysis of data to describe access (and timing of access) to pain medications | M |
| 21 | Hwang USA 2004 [ | Patients (89) | Caucasian (57%) African American (43%) | Cancer | Hospital | Retrospective data analysis of palliative care resource use in prostate cancer patients | M |
| 22 | Khosla USA 2016 [ | Clinicians and healthcare providers (57) | South Asian (39%) Not South Asian (61%) | All EOL care | Healthcare systems, community, hospice and private practice | Qualitative interviews and focus groups on South Asian patients’ preferences | M |
| 23 | Koffman UK 2003 [ | Family members and friends of patients (69) | Black Caribbean (49%) UK-born White (51%) | Cancer | Home or hospital death of patients | Structured questionnaire interview on patients’ symptoms before death | M |
| 24 | Kwon USA 2013 [ | Patients (196) | White (75%) Black (15%) Hispanic (7%) Other (3%) | Cancer | Hospital—outpatients | Secondary analysis of data from an observational cohort study to examine barriers to pain management, including PROMs and opioid adherence data | M |
| 25 | Meghani USA 2021 [ | Patients (32) | White (50%) African American (50%) | Cancer | National Cancer Institute | Qualitative, semi-structured interviews to describe cancer patients’ concerns while undergoing cancer treatment, and determine if concerns differ between African Americans and Whites | M |
| 26 | Mosher USA 2010 [ | Patients (87) | African American (17%) Spanish speaking Latina (31%) English speaking Latina (11%) Caucasian (31%) | Cancer | Hospital—outpatient | PROMs questionnaire survey to examine the relationship between self-efficacy for coping and pain management/distress | M |
| 27 | Nedjat-Haiem USA 2012 [ | Patients (24) | Latina (100%) | Cancer with depression | Medical centre—outpatient | Qualitative interview on Latin American patients’ sociocultural beliefs and health care, part of a wider RCT intervention on cancer and depression | M |
| 28 | Pinheiro USA 2019 [ | Patients (23,091) | USA born non-Hispanic (88%) USA born Hispanic (4%) Non-USA born Hispanic (6%) Foreign born Hispanic (2%) | Cancer | All – National cancer and Medicare data | Secondary data analysis of cancer registry and Medicare data examining ethnic differences in breast cancer patients’ medication use | M |
| 29 | Rabow USA 2005 [ | Patients (90) | Asian/Pacific islander (12%) Black/African American (18%) Latino (10%) White/Caucasian (53%) Other (7%) | Cancer COPD Heart Failure | Hospital—outpatient | Cohort study within a controlled trial of a palliative care consultation, including exploration of ethnic differences | M |
| 30 | Reynolds USA 2008 [ | Patients (1,133) | White (77%) Minority (23%) | Dementia Stroke/CVA Heart Failure Diabetes COPD Cancer | Nursing homes | Observational cohort study. Clinical chart review of nursing home residents’ data to identify differences in end of life care | M |
| 31 | Rhodes USA 2007 [ | Proxies of decedents (98,911) | Non-Hispanic Black (4%) Non-Hispanic White (96%) | Cancer, Dementia Heart disease Lung disease Frailty/Old age Other | Hospices | Survey design to examine whether racial differences in perceived care exist | M |
| 32 | Zapka USA 2006 [ | Patients and race-matched physician for interview (90) | Caucasian (43%) African American (57%) | Cancer Heart Failure | Hospital – outpatient and primary care | Cross-sectional structured interview study using race-matched physicians interviewing patients on the topic of communication | M |
| 33 | Burgio USA 2016 [ | Patients (6,066) | White (65%) African American (35%) | Cancer Dementia Lung Disease Heart Disease Kidney Disease Liver Disease Stroke HIV | Hospital—inpatient | Secondary data analysis of education intervention trial. Data collected after death to examine processes of care at EOL and ethnic differences | L |
| 34 | Campbell USA 2013 [ | Patients, family members or caregivers (743) | White (85%) African American (12%) Other (3%) | Cancer and non-cancer | Hospice – inpatient and community | Questionnaire survey to measure satisfaction with hospice services by patient/family ethnicity | L |
| 35 | Dhingra USA 2011 [ | Patients (170) | Chinese American (100%) | Cancer | Private community-based oncology centre—outpatients | Describing the epidemiology of pain in Chinese Americans using clinical data analysis and PROMs measures questionnaire survey | L |
| 36 | Halpern USA 2019 [ | Patients (8,438) | Non-Hispanic white (53%) Non-Hispanic black (21%) Hispanic (13%) Other/unknown (13%) | Cancer | All – Medicaid data | Retrospective analysis of Medicaid data examining pain management, state policy and patient characteristics | L |
| 37 | Kalauokalani USA 2007 [ | Patients (67) | White (78%) Latino (9%) Asians (6%) Black (3%) Other (4%) | Cancer | Hospital—outpatient | Secondary data analysis of RCT examining whether patient coaching can reduce ethnic equalities in pain | L |
| 38 | Kypriotakis USA 2014 [ | Patients (196) | Black (33%) White (66%) | Cancer | Hospital—outpatient | Secondary data analysis examining ethnicity and preferences for care. Data drawn from RCT of coping and cancer intervention | L |
| 39 | Monroe USA 2010 [ | Patients (55) | African American (29%) Caucasian (71%) | Dementia with cancer | Nursing home resident | Retrospective data review to examine ethnic differences in pain management at the end of life. | |
| 40 | Patel USA 2020 [ | Patients (142) (43 for sub study) | White (63%) Black (35%) | Cancer | Clinic—outpatient | Quasi-experimental study assessing the impact of clinical pharmacy assessments with and without pharmacogenomics | L |
| 41 | Rhodes USA 2012 [ | Bereaved family members (11,892) | Deceased patients: African American (100%) | Cancer Dementia Heart Disease Lung Disease Frailty/ Old Other | Hospice | Secondary analysis of national survey data comparing family members’ perceptions of care with the proportion of African-Americans at hospice | L |
| 42 | Rolnick USA 2007 [ | Patients (421) | White (83%) African American (8%) Asian (4%) Hispanic (4%) Native American (< 1%) | Ovarian cancer | Hospital | Retrospective analysis to report on medication use for pain management during the last six months of life | L |
| 43 | Sadler UK 2009 [ | Patients (244) In analysis: (231) | Caucasian (70%) Black (14%) Asians (10%) Chinese (1%) Unknown (4%) | Cancer | Hospital | Retrospective clinical audit examining influence of ethnicity on presentation, symptomatology and outcomes in oesophageal cancer | L |
| 44 | Saphire USA 2020 [ | Patients (16,246) | White (81%) Black (8%) Hispanic (5%) Asian (6%) | Lung cancer | Hospital—outpatients | Retrospective cohort study using data to examine patterns of symptom management medication receipt at EOL | L |
| 45 | Strassels USA 2006 [ | Patients (347,555) (156,887 included in pain analysis) | Asian or Pacific Islander (1%) African American (5%) Hispanic or Latino (2%) Native Amer (< 1%) Caucasian (54%) Other (< 1%) Missing (38%) | Cancer Heart Disease COPD Unspecified | Hospice | Retrospective analysis of national clinical and administrative data to describe demographics, clinical characteristics, and pain intensity of persons who received hospice care | L |
| 46 | Wieder USA 2014 [ | Patients (360) | African American (48%) Hispanic (33%) Caucasian (13%) Asian (5%) Not specified (2%) | Cancer | Hospital – inpatient, outpatient and emergency depart | Clinical data review to examine prescription coverage and the prescribing of long-acting opiates to minority patients with cancer pain | L |
1Ethnic and racial group names as stated in original paper
2Rounded to 0 decimal places
3WoE Gough’s Weigh of Evidence Framework. Category D – total score. H Higher, M Medium, L Lower
Table showing racial and ethnic groups summary analysis groups from included papers in primary outcome measure analysis (N = 18)
| Original racial and ethnic groups names in primary outcome papers | Countries | Summary analysis group name | No. of studies |
|---|---|---|---|
White Caucasian White and non-Hispanic Non-Hispanic White | USA | White | 14 |
Black African American Non-Hispanic Black | USA | Black and African American | 13 |
Hispanic Spanish speaking Latina English speaking Latina Hispanic White US-born Hispanic Foreign-born Hispanic | USA | Hispanic | 10 |
Minority Other All other race Not specified | USA | Minority and other | 5 |
Asian Asian, Other | USA | Asian and other | 3 |
USA born non-Hispanic Foreign born non-Hispanic | USA | Non-Hispanic | 1 |
| Māori | New Zealand | Māori | 1 |
| Non-Māori | New Zealand | Non-Māori | 1 |