scholarly journals The Significant Contribution of Pain in Determining the Health Status of Patients with Multiple Myeloma (MM)

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4495-4495 ◽  
Author(s):  
Tito R. Mendoza ◽  
Amylou C. Dueck ◽  
Qiuling Shi ◽  
Haijun Ma ◽  
Jeffrey Zhang ◽  
...  
Keyword(s):  
Health Status ◽  
Cancer Patients ◽  
Regression Models ◽  
Self Care ◽  
Ordinal Regression ◽  
Model Fit ◽  
Pain Severity ◽  
Using Data ◽  
Anxiety Depression ◽  
Utility Scores

Abstract BACKGROUND: Most cancer patients with bone metastases report significant pain and substantial impairment in their ability to function. In particular, patients with MM are susceptible to bone pain because of bone damage. Patient-reported outcomes such as a general health outcome measure and a legacy pain instrument may provide valuable information in determining the impact of this condition. The goal of this study was to provide a descriptive profile of health status for cancer patients using the EQ-5D-3L (EQ-5D), a commonly used tool to measure health utility scores. Another goal is to evaluate the predictive information provided by the Brief Pain Inventory (BPI), a self-report pain assessment tool designed to capture pain severity and interference in patients. These information may be useful in estimating the health status of patients where the EQ-5D was not administered. METHODS: Data was pooled across three denosumab registrational trials '20050136', '20050103', and '20050244'. Patients completed the EQ-5D and the BPI at baseline. Eligible patients had histologically confirmed advanced cancers, radiographic evidence of at least one bone metastasis (or lytic bone lesion from multiple myeloma), ECOG of 2 or better and adequate organ function. Using data from patients with MM (N=168), descriptive statistics were used to present summary information on health-related quality of life states and utility scores. Linear regressions were used to examine how BPI severity and interference subscale scores relate with EQ-5D utility scores. Ordinal regressions were used to evaluate how well BPI items predict EQ-5D individual items. Bonferroni adjustments were made when evaluating the relationships of BPI items to individual EQ-5D items. These analyses were repeated using data across several groups of cancer patients to determine if similar results can be obtained (breast cancer, N=2,044, prostate cancer, N=1,819 and others, N=1,509). RESULTS: About 9% of MM patients reported perfect health compared with 11% of all cancer patients. Of the 5 dimensions measured by the EQ-5D, the MM cohort rated pain (80%) the highest with moderate to extreme problems. This was followed by usual activities (68%), mobility (63%), anxiety/depression (49%), and self-care (36%). Similar order was observed across all cancer groups, but with slightly lower percentages for most items: pain (78%), usual activities (58%), mobility (55%), anxiety/depression (57%), and self-care (26%). Although pain interference subscale score explained more of the variability in the EQ-5D utility scores compared with pain severity items in the MM cohort (39% vs 31%) and for all patients (41% vs 34%), model fit was less than ideal (mean squared error=0.23 - 0.25). Hence, BPI items were fitted into individual EQ-5D items. Ordinal regression models fitting BPI items into individual EQ-5D items for the MM cohort showed good predictive power as measured by the concordance index c for mobility (86%), self-care (80%), usual activities (83%), pain (90%) and anxiety/depression (78%). For all patients, similar model fit were obtained for mobility (83%), self-care (78%), usual activities (81%), pain (90%) and anxiety/depression (72%). Further examination of the ordinal regression models across all groups showed that three BPI pain severity items, 'pain at its worst', 'average pain' and 'pain now' in addition to interference with activity and interference with work significantly predicted the EQ-5D pain item. Five interference items, activity, walking ability, work, sleep and enjoyment of life significantly predicted the EQ-5D usual activities item. Finally, 'pain now' and four interference items, relationship with others, enjoyment of life, mood, and activity significantly predicted the EQ-5D anxiety/depression item. CONCLUSIONS: Patients with MM reported several functional limitations on the EQ-5D. Majority of the patients reported moderate to extreme problems in all EQ-5D dimensions except self-care. Model fit of ordinal regression models relating BPI items with EQ-5D items are reasonable underscoring the benefit of using the BPI for planning patient care and health status evaluation. This consistency was also found across cancer groups that primarily include breast and prostate. The resultant model demonstrates the significant contribution of pain severity and interference in determining health status in this patient population. Disclosures Mendoza: Amgen Inc.: Consultancy. Shi:Amgen Inc.: Consultancy. Ma:Amgen Inc.: Employment. Zhang:Amgen Inc.: Employment. Qian:Amgen Inc.: Employment. Cleeland:Amgen Inc.: Consultancy.

scholarly journals The mediating/moderating role of cultural context factors on self-care practices among those living with diabetes in rural Appalachia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Brittany L. Smalls ◽  
Adebola Adegboyega ◽  
Ellen Combs ◽  
Matthew Rutledge ◽  
Philip M. Westgate ◽  
...  
Keyword(s):  
Social Support ◽  
Health Status ◽  
Psychosocial Factors ◽  
Cultural Context ◽  
Regression Models ◽  
Self Care ◽  
Logistic Regression Models ◽  
Context Factors ◽  
Care Practices ◽  
The Relationship

Abstract Background The aim of this study was to examine whether cultural factors, such as religiosity and social support, mediate/moderate the relationship between personal/psychosocial factors and T2DM self-care in a rural Appalachian community. Methods Regression models were utilized to assess for mediation and moderation. Multilevel linear mixed effects models and GEE-type logistic regression models were fit for continuous (social support, self-care) and binary (religiosity) outcomes, respectively. Results The results indicated that cultural context factors (religiosity and social support) can mediate/moderate the relationship between psychosocial factors and T2DM self-care. Specifically, after adjusting for demographic variables, the findings suggested that social support may moderate the effect of depressive symptoms and stress on self-care. Religiosity may moderate the effect of distress on self-care, and empowerment was a predictor of self-care but was not mediated/moderated by the assessed cultural context factors. When considering health status, religiosity was a moderately significant predictor of self-care and may mediate the relationship between perceived health status and T2DM self-care. Conclusions This study represents the first known research to examine cultural assets and diabetes self-care practices among a community-based sample of Appalachian adults. We echo calls to increase the evidence on social support and religiosity and other contextual factors among this highly affected population. Trial registration US National Library of Science identifier NCT03474731. Registered March 23, 2018, www.clinicaltrials.gov.

How is race/ethnicity associated with patient reporting of cancer pain in recently diagnosed colorectal and lung cancer?

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 50-50
Author(s):  
Kathryn Anne Martinez ◽  
Sydney Morss Dy
Keyword(s):  
Colorectal Cancer ◽  
Lung Cancer ◽  
Health Status ◽  
Cancer Pain ◽  
Cancer Patients ◽  
Self Report ◽  
Pain Severity ◽  
Control Variables ◽  
Race Ethnicity

50 Background: Racial and ethnic disparities in the quality of cancer pain treatment are widely documented. The purpose of this study was to examine adjusted differences by race/ethnicity in the odds of reporting pain and differences in pain severity. Methods: This study used data from Cancer Care Outcomes Research and Surveillance Consortium (CanCORS), a nationally representative cohort study of colorectal and lung cancer patients. Patients were identified following incident colorectal or lung cancer diagnosis via rapid case ascertainment. Surveys were administered between three and five months following diagnosis. Pain was assessed via patient self-report using the Brief Pain Inventory. Control variables included sex, age, education, wealth, fatalism, marital status, survey language, self-reported health status, depression, cancer stage, and care at a Veterans Administration (VA) facility. Each control variable was first individually assessed as a potential mediator in the relationship between race/ethnicity and pain severity. Final models were fully adjusted with all control variables. Results: Among 3,216 individuals with colorectal cancer (16.4% black), 40% reported pain; among 2,545 with lung cancer (12% black), 57% reported pain. The odds of reporting pain did not differ by race/ethnicity in lung or colorectal cancer patients in adjusted analyses. None of the included covariates significantly mediated this relationship. However, among those reporting pain, pain severity was higher for black relative to white patients in both lung (p=0.002) and colorectal cancer (p=0.000). Conclusions: The odds of reporting presence of pain did not differ by race/ethnicity. However, among those reporting pain, blacks reported higher pain severity than whites in both cancer types, even after adjusting for patient and health status characteristics. Differential pain severity by race/ethnicity, particularly for black patients, may be an important consideration in assessing the quality of cancer pain management.

Patient reported outcomes in cancer patients: Psychological, physical and functional importance.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18209-e18209
Author(s):  
Shiva Shrotriya ◽  
Bassam N. Estfan ◽  
Mukta Sharma ◽  
Supratik Rayamajhi ◽  
Declan Walsh
Keyword(s):  
African Americans ◽  
Cancer Patients ◽  
Lower Risk ◽  
Patient Reported Outcomes ◽  
Linear Regression Analysis ◽  
Self Care ◽  
Cancer Center ◽  
Patient Reported ◽  
Care Problems ◽  
Anxiety Depression

e18209 Background: Patient-reported outcomes (PROs) allow consistent monitoring of patients’ symptoms and quality of life. We evaluated their prevalence among cancer patients. We also evaluated the association of PROs, Emotional Thermometer (ET) distress with demographic and disease characteristics. Methods: PROs were prospectively collected as cross sectional data. This was later combined with retrospectively obtained clinical data from the EMR. Predictors of ET component (Distress, Anxiety, Anger, Depression) was determined by linear regression analysis. The predictors of those who required Help with tablet computers was determined by logistic regression. Results: The mean age was 58 (±14) years; 54% male. The common cancer diagnoses were breast 17%, hematological (leukemia) 17% and lymphoma 12%. Few (7%) participants required help (N = 1076) with the tablet-based surveys. Age ≤ 30 and 51–70 years scored lower in mean depression ET. African Americans had higher ET Anger scale. African Americans scored higher in need of Help –ET. Age 31-50 years was at 13% lower risk and 51–70 years was at 72% lower risk of requiring help. Those with self-care problems were at higher risk of requiring Help with tablet computer. Conclusions: Many cancer patients visiting the cancer center had high pain/discomfort, anxiety/depression, problems with usual activities and mobility problems. Younger patients (31-50 years) had more distress and depression (ET). African Americans reported more problems with mobility, self-care, usual activities, pain/discomfort and anxiety/depression (EQ5D). Those with self-care problems were at risk to require help with tablet-based surveys.

From Bi-Dimensionality to Uni-Dimensionality in Self-Report Questionnaires

2020 ◽  
pp. 1-14 ◽  
Author(s):  
Bjarne Schmalbach ◽  
Markus Zenger ◽  
Michalis P. Michaelides ◽  
Karin Schermelleh-Engel ◽  
Andreas Hinz ◽  
...  
Keyword(s):  
Factor Model ◽  
Common Factor ◽  
Self Regulation ◽  
Model Fit ◽  
Self Report ◽  
External Criterion ◽  
Common Factor Model ◽  
Random Intercept ◽  
Using Data ◽  
Core Self

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. In testing and comparing three alternative factor models (one-factor model, two-factor model, and one-factor model with a random intercept) and analyzing differential correlational patterns with an external criterion, we empirically demonstrate the random intercept model’s merit, and clarify the factor structure for the above-mentioned questionnaires. In sum, we recommend the random intercept model for cases in which acquiescence is suspected to affect response behavior.

Comparison of Examinees’ and Doctors’ Judgement of Health Status Using Data in an AMHTS

1984 ◽  
Vol 23 (01) ◽  
pp. 15-22
Author(s):  
Y. Sekita ◽  
T. Ohta ◽  
M. Inoue ◽  
H. Takeda
Keyword(s):  
Health Status ◽  
Discriminant Analysis ◽  
Explanatory Power ◽  
Laboratory Data ◽  
Subjective Symptom ◽  
Health Conditions ◽  
Testing System ◽  
Multiple Discriminant Analysis ◽  
Canonical Axis ◽  
Using Data

SummaryJudgements of examinees’ health status by doctors and by the examinees themselves are compared applying multiple discriminant analysis. The doctors’ judgements of the examinees’ health status are studied comparatively using laboratory data and the examinees’ subjective symptom data.This data was obtained in an Automated Multiphasic Health Testing System. We discuss the health conditions which are significant for the judgement of doctors about the examinees. The results show that the explanatory power, when using subjective symptom data, is fair in the case of the doctors’ judgement. We found common variables, such as nervousness, lack of perseverance etc., which form the first canonical axis.

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

scholarly journals Self-Rated Health Status Based on the Type of Health Insurance: A Socioeconomic Perspective

2021 ◽  
Vol 58 ◽  
pp. 004695802110281
Author(s):  
Minsung Sohn ◽  
Minsoo Jung ◽  
Mankyu Choi
Keyword(s):  
Socioeconomic Status ◽  
Health Insurance ◽  
Health Status ◽  
Regression Models ◽  
Private Health Insurance ◽  
Public And Private ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Interaction Terms ◽  
Healthcare Coverage

To investigate the effects of public and private health insurance on self-rated health (SRH) status within the National Health Insurance (NHI) system based on socioeconomic status in South Korea. The data were obtained from 10 867 respondents of the Korea Health Panel (2008-2011). We used hierarchical panel logistic regression models to assess the SRH status. We also added the interaction terms of socioeconomic status and type of health insurance as moderators. Medical aid (MA) recipients were 2.10 times more likely to have a low SRH status than those who were covered only by the NHI, even though the healthcare utilization was higher. When the interaction terms were included, those not covered by the NHI and had completed elementary school or less were 16.59 times more likely to have a low SRH status than those covered by the NHI and had earned a college degree or higher. Expanding healthcare coverage to reduce the burden of non-payment and unmet use to improve the health status of MA beneficiaries should be considered. Particularly, the vulnerability of less-educated groups should be focused on.

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