Bibliographic record
Abstract
Citation (2017), "Index", Health and Health Care Concerns Among Women and Racial and Ethnic Minorities (Research in the Sociology of Health Care, Vol. 35), Emerald Publishing Limited, Bingley, pp. 301-304. https://doi.org/10.1108/S0275-495920170000035022 Publisher: Emerald Publishing Limited Copyright © 2017 Emerald Publishing Limited INDEX Abortion care, 40, 41, 42, 43, 45, 46, 47, 48, 50, 51, 54 private insurance coverage for, 42, 50, 53 providers, 42, 44, 46, 54 public insurance coverage for, 42, 53 services, 41, 46, 47 Abortion Coverage in Health Insurance Act, 40 Abortion-providing facilities, 42, 43, 50 ACS. See American Community Survey (ACS) Affordable Care Act, 40 Alcohol abuse, 282 American Community Survey (ACS), 152 Andersen’s model, 214 Association of Women’s Health, Obstetric and Neonatal Nurses (AWHONN), 108 Auxiliary Health Care, 146, 149, 151, 152, 153, 159 Baby scan, 73 Behavioral functioning, 237 Behavioral model, 81–82, 253 Behavior problems, 234, 235–236 Billing insurance, 53 Black segregation, 149, 150, 160, 161, 162 Breastfeeding duration, 15–17 analysis of, 21 analytic strategy, 20–22 behavioral problems, 15 benefits for mothers, 15 cesarean births, 31 in childbearing process, 19 control variables, 19–20 discontinuation of, 21 exclusive breastfeeding, 28–31 vs. formula-feeding, 15 logistic regressions of, 24–25 maternal health, 16 negative pregnancy outcomes, 17 outcome, 19–20 and poverty status, 19 predictor, 19–20 and pregnancy intentions, 19, 20 pregnancy planning in, 14 prevalence of, 15 privacy for, 16 professional women, 17 race and ethnicity in, 17 self-reported metrics, 20 survival of, 26, 27 Canadian Nurses Association (CNA), 108 Care-seeking preferences, 57 CEFM. See Continuous electronic fetal monitoring (CEFM) Centers for Disease Control (CDC), 217 Chronic obstructive pulmonary disease (COPD), 280, 295 Cigarette smoking, 283, 289 Community health component, 148 Composite International Diagnostic Interview Short-Form (CIDI-SF), 237–238 Consultation, 62, 73 Continuous electronic fetal monitoring (CEFM), 101 Costs of accepting private insurance, 50–53 Costs of accepting public insurance, 48–50 County Business Patterns (CBP), 152, 153, 163 Critical Race Theory (CRT), 195, 196, 203 Demographic characteristics, 254 Descriptive statistics, 239–241 Diabetes care, 129, 134, 135, 137, 138, 140 Diabetes inequalities, 129, 130, 133 Diastolic blood pressure (DBP), 194 Disparities, 148, 149, 162 Dual diagnosis, 175 psychiatric disorder, 184 vs. SUD only, 184 EACH Woman Act, 40 See also Abortion Coverage in Health Insurance Act Empowerment, 71–73 Ethnic minorities, 5–6, 9 Federal poverty level, 49–50 Female deaths, 285 Female smoking, 281–285 workplace vs. home, 281–285 Foreign-born elderly Asian Americans, 224–225 Gender and health care, 4, 5 Gender equality, 281–282 General practitioners (GP) practices, 62, 66–67 HCWs. See Healthcare workers (HCWs) Health behavioral model, 214–215, 216, 226 Health-care system, 4 Healthcare utilization, 214–216 Healthcare workers (HCWs), 60, 65–67, 69, 70, 71, 72, 74 Health equity, 138, 140 Health inequalities, 128 Health Insurance Act, 40 Health need and demographics, 259 Health need characteristics, 254 Health outcomes, 214–216 Health-seeking behaviors (HSB) external factors, 82 infertility on, 84 predict, 81 probability of, 87 rates of, 80–81 sociodemographic differences in, 81 Health service utilization, 81–82 Hierarchical linear model results, 241–244 Hyde Amendment, 40, 42 Hypertension cross-narratives, 199–200 cultural identity, 200–202 experiences of, 195 individual narratives, 197–199 steps for narrative construction, 197 universal health care, 202–203 Hypothesis, 84–85 Immigrant, 233, 234, 235, 236, 237, 240 Immigrant characteristics, 173–174, 174–175 Immigration, 151, 152, 154, 160, 161, 162 Inequalities, 148 Infertility, 83–84 Influenza vaccination, 61, 66, 69, 71, 72 Insurance acceptance policies, 45 Insurance coverage, for abortion, 40, 41 Insurance coverage policies, 42 In vitro fertilization (IVF), 80 IVF. See In vitro fertilization (IVF) Labor and delivery (L&D), 100 Language barriers, 129, 132, 135, 138 Language concordance, 130, 136, 139 Language discordance, 129, 131, 132 Language preference, 178 Language skills, 136–139 Latent variables, 221–222 Limited English proficiency (LEP) Anglo-Saxon culture, patients with, 128 data analysis, 130–131 data collection, 130–131 design, 130–131 Latino patients with diabetes, 130 low-income, 133, 134 research approach, 130–131 sample description, 130 South American with, 133 US Latinos with, 129 US minorities with, 129 Macro-structural healthcare context, 256–257 Maternity Support Survey (MSS), 101, 112–113 Maternity support workers (MSWs), 100, 101–102 cesarean sections, 106–107 common medical procedures, 106 emotional burnout, 102–104 emotional intelligence (EI), 105 hospital wellness programs, 107 hypotheses, 107–108 mitigating and aggravating factors, 104–108 overwork, 104–105 positive and negative birth experiences, 105 unethical mistreatment, 106 work–family conflict, 104 Measles-mumps-rubella (MMR) vaccine, 71 Medicaid coverage, 41, 45, 46, 47 Medicaid reimbursement, 46, 49 Medical discourse, 131–136 Mental health problems, 175–177 Micro-level patient-provider relationship, 256 Minority communities, 146, 147, 151 National Abortion Federation (NAF), 42 National Health Interview Survey (NHIS), 217 National Survey of Family Growth (NSFG), 83, 85–86 National Survey of Fertility Barriers (NSFB), 83 Nativity, 173–174, 174–175, 178 Neighborhood contexts, 235–236 Neighborhood social characteristics, 238–239 Neighborhood structural characteristics, 238 North American Industry Classification System (NAICS), 152 Office of Management and Budget (OMB), 152 Ordinary least squares (OLS), 111 Ordinary least squares (OLS) regression models, 111, 114, 115, 116 Parental legal status, 234, 237 Perceived racial–ethnic discrimination, 179 Pertussis, 60, 66, 71, 73 Phone interview, 43 Poverty, 128, 129, 132, 135, 137, 138, 139 Predisposing characteristics, 254–255, 259 Pregnancy, 60, 61, 63, 64, 66, 69, 72 Primary care providers (PCPs), 260 Professional quality of life (PROQOL), 109 Psychiatric disorders, 174–175 Public Health England (PHE), 61, 62, 65 Race and ethnic differences, 252–253 Race and ethnicity, 258 Racial/ethnic minority, 146, 147, 150, 151, 152 Racial–ethnic orientation, 178 Racialethnic social preference, 178 Racial minorities, 5–6, 8, 9 Rape, 42, 46 Reimbursement, 42, 46, 49, 50, 52, 53 Relational autonomy, 61, 63, 71, 74 Research hypothesis, 216–217 Residential segregation, 146, 147, 149, 151, 152, 160 Segregation, theories of, 150–152 Smoking avoidance, 291 Social context, 60, 63, 65 Social factors, 255–256, 259 Social influences, on vaccination decisions, 63–65 Social Network Index, 179 Social support, 179 Socio-economic status, 4 Socio-political contexts, 61, 66 State law prohibition, 46 State-level insurance mandates, 82–83 Stressful life events, 179 Structural barriers, 129, 136 Structural equation modeling (SEM), 218, 219 Substance abuse, 173–174, 175–177 Substance abuse centers, 148 Substance use disorders (SUDs), 172 Systolic blood pressure (SBP), 194 Thematic analysis, 62, 63 Traditional health insurance, 161 Transcripts, 44, 45, 131 Urban outcomes, 150–152 Urban sociology, 150 US-born elderly Asian Americans, 222–224 US National Health Interview Survey (NHIS), 8 Vaccination behaviour, 71 Vaccination decisions, social influences on, 63–65 Vaccine anxieties, 65, 66 Women, 4–5 Book Chapters Prelims Part I Introduction to Volume Health, Health Care, and Women and Racial and Ethnic Minorities Part II Women and Reproductive Related Health and Health Care Concerns The Relationship of Pregnancy Intentions to Breastfeeding Duration: A New Evaluation Taking Insurance in Abortion Care: Policy, Practices, and the Role of Poverty The Patient–Healthcare Worker Relationship: How Does it Affect Patient Views towards Vaccination during Pregnancy? An Examination of State-Level Mandates for Insurance Coverage on Health-Seeking Behaviors for Infertility Part III Health Care Practitioners and Health and Health Care Bearing the Burden of Care: Emotional Burnout Among Maternity Support Workers “Lost in Translation”: How Clinicians Make Sense of Structural Barriers to Diabetes Care among US Latinos with Limited English Proficiency Racial Residential Segregation and the Distribution of Auxiliary Health Care Practitioners Across Urban Space Part IV Racial and Ethnic Minorities and Health and Health Care Nativity, Race–Ethnicity, and Dual Diagnosis Among US Adults Hypertension Experiences of Black Men: A Critical Narrative Study Influence of Healthcare Utilization and Social Characteristics on Health Outcomes Among Elderly Asian Americans: A Structural Equation Analysis Behavioral Functioning Among Mexican-Origin Children: The Roles of Parental Legal Status and the Neighborhood Context Do You Want to See a Doctor for That? Contextualizing Racial and Ethnic Differences in Care-Seeking Changing Patterns of Female Smoking: A Comparison of Workers and Full-Time Homemakers by Class, Race, and Community Type About the Editor Index
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.752 | 0.752 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".