| Literature DB >> 23536809 |
Alexi A Wright1, Heather Stieglitz, Yankel M Kupersztoch, M Elizabeth Paulk, Yookyung Kim, Ingrid T Katz, Francisco Munoz, Rachel B Jimenez, Jan Mutchler, Lorna Rivera, Anthony L Back, Holly G Prigerson.
Abstract
BACKGROUND: Culture shapes how people understand illness and death, but few studies examine whether acculturation influences patients' end-of-life treatment preferences and medical care. METHODS ANDEntities:
Mesh:
Year: 2013 PMID: 23536809 PMCID: PMC3594172 DOI: 10.1371/journal.pone.0058663
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
United States acculturation scale.
| Correlation Analyses | |||
| Scale Items | Item with Total | Item with Rater Assessment | Cronbach’s α 0.98 |
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| What language do you speak most often? | 0.95 | 0.90 | |
| What language do you prefer speaking? | 0.95 | 0.90 | |
| What language do most of your friends speak? | 0.93 | 0.87 | |
| You are most comfortable reading (newspapers, books, magazines) in | 0.94 | 0.88 | |
| You are most comfortable writing in | 0.94 | 0.89 | |
| You think most often in | 0.94 | 0.88 | |
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| The music you listen to most is in | 0.90 | 0.84 | |
| The music you enjoy most is in | 0.91 | 0.82 | |
| The TV shows you watch most are in | 0.90 | 0.83 | |
| The TV shows you prefer watching most are in | 0.92 | 0.86 | |
| The movies you watch most are in | 0.88 | 0.82 | |
| Your father’s cultural identity was/is (country of origin) | 0.58 | 0.58 | |
| Your mother’s cultural identity was or is (country of origin) | 0.72 | 0.70 | |
| Your friends while you were growing up were of ______origin | 0.81 | 0.75 | |
| Your family cooks/eats foods that are of _______ origin | 0.82 | 0.74 | |
| Your friends now are of _______ origin | 0.88 | 0.79 | |
| You like to identify yourself as | 0.87 | 0.83 | |
| Where would you want to be buried? | 0.61 | 0.67 | |
| Your contact (letters, phone calls, emails) with country of origin has been4 | 0.27 | 0.23 | |
Dependent variable was the interviewer’s evaluation of how “Americanized” the respondent was. Response options included Likert scales (scored 1–5):
Non-English only to English only;
Non-American to American;
(Non-United States) country of origin vs. United States; and 4>twice/yr, >4 times/yr, monthly, weekly, or daily.
Patient characteristics by caregiver acculturation level (N = 171).
| Full Sample | Caregiver USAS | ||
| Patient Characteristics | N (%) | Mean (SD) | P-value |
|
| 85 (52.2) | 3.5 (1.5) | 0.62 |
|
| 0.12 | ||
| <50 | 47 (27.5) | 3.2 (1.6) | |
| 50–64 | 62 (36.3) | 3.6 (1.4) | |
| >65 | 54 (31.6) | 3.8 (1.2) | |
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| White | 79 (48.5) | 4.5 (0.7) | |
| Black | 8 (4.9) | 4.7 (0.4) | |
| Hispanic | 70 (42.9) | 2.3 (1.1) | |
| Other | 6 (3.7) | 3.8 (0.7) | |
|
| 116 (72.5) | 3.6 (1.4) | 0.99 |
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| <8 | 53 (32.5) | 2.4 (1.2) | |
| 8–12 | 39 (23.9) | 4.0 (1.3) | |
| >12 | 71 (43.6) | 4.1 (1.0) | |
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| Insured | 103 (63.2) | 4.3 (0.9) | |
| Uninsured | 60 (35.1) | 2.3 (1.1) | |
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| English | 95 (55.6) | 4.4 (0.8) | |
| Non-English | 68 (40.0) | 2.4 (1.2) | |
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| US-born | 96 (56.1) | 4.3 (0.9) | |
| Foreign-born | 67 (39.2) | 2.4 (1.3) | |
| Mexico | 42 (24.6) | 1.9 (0.9) | |
| Central/South America | 10 (5.9) | 2.1 (1.0) | |
| Europe | 9 (5.3) | 4.1 (1.0) | |
| South/SouthEast Asia | 4 (2.3) | 3.5 (0.6) | |
| Other | 2 (1.2) | 4.4 (0.7) | |
|
| 0.08 | ||
| Breast | 15 (8.8) | 3.5 (1.3) | |
| Gastrointestinal | 60 (35.1) | 3.5 (1.4) | |
| Lung | 27 (15.8) | 4.1 (1.2) | |
| Other | 59 (34.5) | 3.3 (1.5) | |
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| >70 | 94 (55.0) | 3.9 (1.3) | |
| <70 | 66 (38.6) | 3.1 (1.5) | |
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| Catholic | 90 (52.6) | 3.2 (1.4) | |
| Protestant | 24 (14.0) | 4.5 (0.8) | |
| Other | 41 (23.9) | 3.6 (1.3) | |
| None | 8 (4.7) | 4.2 (0.9) | |
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| Yale | 62 (36.3) | 4.4 (1.0) | |
| VA | 5 (2.9) | 4.9 (0.1) | |
| Simmons | 6 (3.5) | 3.1 (0.6) | |
| Parkland | 65 (38.0) | 2.3 (1.1) | |
| DFCI/MGH | 15 (8.8) | 4.0 (0.8) | |
| NHOH | 17 (10.0) | 4.2 (0.7) | |
|
| 0.15 | ||
| Spouse | 85 (49.7) | 3.7 (1.3) | |
| Adult child | 31 (18.1) | 3.5 (1.4) | |
| Other family member or friend | 33 (22.1) | 3.1 (1.4) | |
|
| 154 (96.3) | 3.6 | 0.25 |
|
| 0.89 | ||
|
| 101 (62.7) | 3.6 (1.4) | |
| 41–79% | 51 (31.1) | 3.6 (1.4) | |
| ≤40 | 9 (5.5) | 3.2 (1.4) | |
Missing data: male, age, race/ethnicity, education, health insurance, native English speaker, nativity, and religion (n = 8, 4.7%); marriage (n = 11, 6.4%), cancer type (n = 10, 5.8%), Karnofsky score (n = 11, 6.4%), caregiver relationship (n = 22, 12.9%), caregiver identifies as primary caregiver for patient (n = 4).
Participants were asked whether English was their native language with response options of “yes” or “no.” Study participation mandated English or Spanish fluency, and interviews were conducted in English or Spanish by trained, bilingual research assistants.
Other cancers each representing <5% sample.
Karnofsky score is a measure of functional status that is predictive of survival, where 0 is dead and 100 is perfect health. The sample median, 70, reflects an ability to care for self, but not carry on normal activity or work.
Caregivers were asked: "Do you consider yourself to be the patient's primary caregiver, defined as a family member or friend who provides the patient with unpaid assistance with his/her activities of daily living (e.g., bathing, cooking, transportation, housework etc). Caregivers who answered "yes" are included in this category.
Summary of validity analyses for caregiver United States acculturation scale.
| Language | Cultural Identity | Full Scale | |
| Correlation with: |
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|
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| United States birthplace (patient) | 0.67 | 0.67 | 0.66 |
| Native English speaker (patient) | 0.73 | 0.72 | 0.71 |
| Interview conducted in English (patient) | 0.74 | 0.73 | 0.71 |
| Brief Acculturation Scale (patient) | 0.65 | 0.60 | 0.64 |
| Interview conducted in English (caregiver) | 0.78 | 0.77 | 0.75 |
| Rater assessment of acculturation (caregiver) | 0.88 | 0.87 | 0.86 |
All P-value<0.0001; Missing data: United States birthplace and native English speaker (patient: n = 8, 4.7%), interview conducted in English (patient and caregiver: n = 9, 5.3%), Brief Acculturation Scale (patient: n = 80, 46.6%), and rater assessment of acculturation (caregiver: n = 4, 2.3%).
Associations between rater assessment of caregiver acculturation and language and cultural identity items.
| Rater Assessment of Caregiver Acculturation | ||
| Standardized β Coefficient | P-value | |
|
| 0.57 | <0.0001 |
|
| 0.37 | 0.0009 |
Data are expressed as standardized coefficients that reflect the unique contribution of each predictor (language or cultural identity) on the outcome (rater’s assessment of caregivers’ acculturation).
Associations between Caregiver Acculturation and Patient-Physician Communication and Patients’ Treatment Preferences (N = 171).
| Outcome Measure: | Full Sample | Caregiver USAS Score | |||||
| Patient Communication and Preferences | N | % | OR | (95% CI) | AOR | (95% CI) | |
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| |||||||
| Treated with respect | 162 | 94.7 | – | – | – | – | |
| Comfort asking questions about care | 123 | 71.9 |
|
| 1.23 | (0.87–1.73) | |
| End-of-life discussion with physician | 38 | 22.2 | 0.82 | (0.63–1.06) | 0.97 | (0.71–1.31) | |
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| Prognostic information | 113 | 66.1 |
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| Life-extending care over comfort | 47 | 27.5 | 1.13 | (0.86–1.48) | 1.16 | (0.85–1.57) | |
| Avoid death in intensive care unit | 53 | 31.0 |
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| Feeding tube to extend lifeg | 55 | 32.2 | 0.80 | (0.64–1.02) |
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p≤0.10.
p≤0.05.
p≤0.01.
p≤0.001.
Logistic regression models examined associations between acculturation and patient-physician relationships, treatment preferences, terminal illness acceptance, and advance care planning. Every variable that was associated (p<0.20) with both the predictor and outcome (e.g., age, ethnicity, education, health insurance, native English language, nativity, cancer type, performance status, religion, institution, survival, and caregiver relationship) was investigated as a potential confounder and retained if significant at a level of p<0.05. Models adjusted for:
estimate for measures examining respect and trust in physicians (latter not shown) could not be calculated due to near uniform response (yes),
Foreign born,
performance status,
spousal caregiver,
performance status.
no variables met significance (p≤0.05), and g age.
Missing data: treated with respect, comfort asking questions (n = 8, 4.7%); end of life discussion (n = 9, 5.3%); prognostic information (n = 12, 7.0%); life-extending care over comfort (n = 29, 17.0%); avoid death in intensive care unit (n = 14, 8.2%); and feeding tube to extend life (n = 13, 7.6%).
Associations between Caregiver Acculturation and Patient Medical Care (N = 171).
| Outcome Measure: | Full Sample | Caregiver USAS Score | ||||
| Patients’ Medical Care | N | % | OR | (95% CI) | AOR | (95% CI) |
| Clinical trial | 22 | 12.9 |
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| Palliative chemotherapy | 97 | 56.7 |
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| Pain management exclusivelyc | 53 | 31.0 |
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| 0.75 | (0.53–1.07) |
p≤0.01.
p≤0.001.
Logistic regression models examined associations between acculturation and patient-physician relationships, treatment preferences, terminal illness acceptance, and advance care planning. Every variable that was associated (p<0.20) with both the predictor and outcome (e.g., age, ethnicity, education, health insurance, native English language, nativity, cancer type, performance status, religion, institution, survival, and caregiver relationship) was investigated as a potential confound and retained if significant at a level of p<0.05. Models adjusted for:
no variables met significance (p≤0.05) criteria for adjustment,
age and cancer type, and c spousal caregiver.
Missing data: clinical trial (n = 17, 9.9%), palliative chemotherapy (n = 14, 8.2%), and pain management (n = 16, 9.4%).