Hippocampal neuroinflammation following combined exposure to cyclophosphamide and naproxen in ovariectomized mice.

Aim: Cancer patients undergoing chemotherapy report cognitive changes collectively termed "chemo brain." Neuroinflammation is among the factors believed to contribute to "chemo brain" suggesting a potential beneficial role for anti-inflammatory drugs in cancer patients undergoing chemotherapy. We investigated whether the non-steroidal anti-inflammatory drug naproxen influenced hippocampal inflammation in non-tumor bearing female mice receiving the chemotherapy drug cyclophosphamide (CP).Materials and methods: Intact and ovariectomized C57BL/6 mice were used to examine potential role of ovarian hormones on neuroinflammation. The mice were placed on naproxen (375 ppm) or control diet, and a week later CP (100 mg/kg; i.p.) was administered every 3 days for 2 weeks. We analyzed hippocampal inflammatory biomarkers, anxiety-like behavior, spatial working memory, exploratory behavior, spontaneous locomotor activity and depression-like behavior.Results: CP produced significant effects on anti-inflammatory but not pro-inflammatory biomarkers. However, CP and naproxen in combination produced significant effects on both pro- and anti- inflammatory biomarkers. Naproxen and ovariectomy individually produced significant effects on pro- and anti-inflammatory biomarkers as well. Working memory and depression-like behavior were not significantly influenced by CP, naproxen or ovariectomy individually although CP and ovariectomy produced significant interaction effects on depression-like behavior. Exploratory behavior and locomotor activity showed significant effects of CP, and interaction between CP and naproxen was significant for locomotor activity.Conclusions: Ovariectomy, naproxen and a combination of CP and naproxen upregulate hippocampal pro- and anti- inflammatory biomarkers. None of the factors individually produce significant behavioral changes that could be consistent with chemo brain, although CP and ovariectomy in combination produced significant effects on depression-like behavior, a co-morbidity of chemo brain.

Prevalence of self-reported memory problems in adults with type 2 diabetes mellitus and cancer in the USA.

PURPOSE: To determine the prevalence of memory problems in individuals with or without a history of DM and cancer and assess possible compounding effects of these diseases on self-reported memory problems (SRMP). METHODS: We used data from the 2009-2018 National Health and Nutrition Examination Survey. We conducted logistic regression analyses to determine the associations among DM, cancer, and SRMP, adjusting for age, sex, race/ethnicity, education, and poverty level. We examined the interaction effects of comorbid DM and cancer on SRMP. We compared participants with both DM and cancer to those with cancer only and to those with no DM or cancer. RESULTS: We included 26,842 adults ≥ 20 years old (N = 3374 with DM, N = 23,468 without DM) and 51.87% female. There were 10,434 Whites, 5730 Blacks, 6795 Hispanics, and 3883 other races/multiracial. More individuals with DM reported memory problems than those without DM (p < 0.0001). More individuals with cancer reported memory problems than those without cancer (p < 0.0001). Of those with both DM and cancer, 14.19% reported memory problems. More individuals with DM had cancer than those without DM (p < 0.0001). Of those with both diseases, 55.75% had DM before the cancer diagnosis. DM (odds ratio[OR] = 1.87, 95%CI, 1.55-2.26) and cancer (OR = 1.81, 95%CI, 1.43-2.30) predicted SRMP. The interaction between DM and cancer was significant, and the likelihood of having both diseases compared to having neither DM nor cancer was OR = 2.09, 95%CI, 1.41 - 3.11. CONCLUSION: Strategies to mitigate SRMP in individuals with comorbid DM and cancer history should consider the impact of both diseases.

Item-level psychometrics of a brief self-reported memory problem screening measure in breast cancer survivors.

Background: We previously developed and psychometrically validated a self-reported memory problem (SRMP) measure using principal component analysis. In the present study, we applied item response theory (IRT) analysis to further examined the construct validity and determine item-level psychometric properties for the SRMP.Methods: The sample included 530 female breast cancer survivors (61% non-Hispanic White, mean age = 57 years) who were recruited from community-based organizations and large health care systems. We examined the construct validity, item-level psychometric properties, and differential item functioning (DIF) of the SRMP using confirmatory factor analysis (CFA), IRT and logistic regression analysis models.Results: The CFA confirmed a one-factor structure for the SRMP (comparative fit index [CFI] = 0.996, root-mean-square-error-approximation [RMSEA] = 0.059). As expected, SRMP scores correlated significantly with pain, mood, and fatigue; but not spiritual health locus of control (SPR). DIF analysis showed no measurement differences based on race/ethnicity and age groups.Conclusion: The CFA and DIF analysis supported the construct validity of the SRMP and its use in an ethnically diverse breast cancer population. These findings provide further evidence of the generalizability for the SRMP, and support its utilization as a psychometrically valid and reliable screening measure of cancer and treatment-related memory difficulties.

Patient Satisfaction with Navigator Interpersonal Relationship (PSN-I): item-level psychometrics using IRT analysis.

BACKGROUND: Patient navigation (PN) is a promising intervention to eliminate cancer health inequities. Patient navigators play a critical role in the navigation process. Patients' satisfaction with navigators is important in determining the effectiveness of PN programs. We applied item response theory (IRT) analysis to establish item-level psychometric properties for the Patient Satisfaction with Interpersonal Relationship with Navigators (PSN-I). METHODS: We conducted a confirmatory factor analysis (CFA) to establish unidimensionality of the 9-item PSN-I in 751 cancer patients (68% female) between 18 and 86 years old. We fitted unidimensional IRT models-unconstrained graded response model (GRM) and Rasch model-to PSN-I data, and compared model fit using likelihood ratio (LR) test and information criteria. We obtained item parameter estimates (IPEs), item category/operating characteristic curves, and item/test information curves for the better fitting model. RESULTS: CFA with diagonally weighted least squares confirmed that the one-factor model fit the data (RMSEA = 0.047, 95% CI = 0.033-0.060, and CFI ≈ 1). Responses to PSN-I items clustered into the 4th and 5th categories. We aggregated the first three response categories to provide stable parameter estimates for both IRT models. The GRM fit the data significantly better than the Rasch model (LR = 80.659, df = 8, p < 0.001). Akaike's information coefficient (6384.978 vs. 6320.319) and Bayesian information coefficient (6471.851 vs. 6443.771) were lower for the GRM. IPEs showed substantial variation in items' discriminating power (1.80-3.35) for GRM. CONCLUSIONS: This IRT analysis confirms the latent structure of the PSN-I and supports its use as a valid and reliable measure of latent satisfaction with PN.

Psychometric evaluation of the German version of the Patient Satisfaction with Cancer-related Care questionnaire.

BACKGROUND: Patient satisfaction is a fundamental aspect of perceived health care quality. The original English version of the Patient Satisfaction with Cancer-related Care (PSCC) is a psychometrically validated, one-dimensional instrument with relevance to cancer-related care. The goal of the study was to perform a psychometric validation of the PSCC in German (PSCC-G). METHODS: A sample of 394 cancer patients were recruited at oncological clinics in Hamburg, Germany. Patients completed the PSCC-G, three subscales of the Patient Satisfaction and Quality in Oncological Care (PASQOC), and one subscale from the German version of the Recherché Evaluative sur la Performance des Réseaux de Santé (RESPERE-60) questionnaire. We conducted exploratory and confirmatory factor analyses (EFA and CFA) to determine the factorial validity, and we calculated Cronbach's coefficient alpha (α) to test the internal consistency of the PSCC-G. We examined the correlation between the PSCC-G and four subscales measuring additional dimensions of PS with care. We also conducted a multiple linear regression analysis to determine whether sociodemographics, self-perceived health status, and treatment setting predict scores on the PSCC-G. RESULTS: The EFA (using principal axis) revealed a one-factor solution. The Cronbach's α was 0.92. The convergent validity showed high correlations between three different subscales measuring patient satisfaction and the PSCC-G. Overall, males, older age patients, and those with a higher self-perceived health status were more satisfied with their cancer care based on their higher scores on the PSCC-G. CONCLUSION: The PSCC-G is a reliable and valid instrument that can assess satisfaction with cancer-related care for German-speaking cancer patients.

Association of externalizing religious and spiritual beliefs on stage of colon cancer diagnosis among black and white multicenter urban patient populations.

BACKGROUND: This study explores whether externalizing religious and spiritual beliefs is associated with advanced-stage colon cancer at initial oncology presentation and whether this association is stronger for blacks than for whites. METHODS: Patients who had newly diagnosed, invasive colon cancer were recruited at 9 sites in the Chicago metropolitan area. Eligible patients were non-Hispanic white or black, ages 30 to 79 years, and diagnosed with a primary invasive colon cancer. Patients were interviewed on prior screening and diagnosis. Social and attitudinal constructs were measured, including the God Locus of Health Control (GLHC) and Religious Problem Solving. The final response rate was 52% and included 407 patients. RESULTS: The median age was 59 years (range, 30-79 years), and 51% of participants were black. Cancer stage was available for 389 (96%) patients and was divided between late stage (stages III-IV; 60%) and early stage (stages I-II; 40%). Multivariate analysis indicated that patients in the highest tertile of scores on the GLHC were more likely have an advanced stage of disease at presentation (odds ratio, 2.14; 95% confidence interval, 1.00-4.59; P = .05) compared with those in the lowest tertile. No significant interaction was identified between race and GLHC scores for stage at presentation (P = .78). CONCLUSIONS: In a large sample of black and white individuals across diverse health care systems, higher scores on the GLHC predicted late disease stage at presentation. Although blacks had significantly higher GLHC scores, race was not associated with stage at presentation, nor was the association between GLHC and stage limited to blacks. Further work is needed to better understand this association and to develop interventions to better connect the religious and health care spheres. Cancer 2018;124:2578-87. © 2018 American Cancer Society.

Effects of patient navigation on satisfaction with cancer care: a systematic review and meta-analysis.

PURPOSE: Patient navigation (PN) is a model of healthcare coordination designed to reduce barriers to achieving optimal health outcomes. Systematic reviews evaluating whether PN is associated with higher patient satisfaction with cancer care are lacking. METHODS: We conducted a systematic review to synthesize evidence of comparative studies evaluating the effectiveness of PN programs to improve satisfaction with cancer-related care. We included studies reported in English that: (1) evaluated a PN intervention designed to increase satisfaction with cancer care; and (2) involved a randomized controlled trial (RCT) or non-RCT approach. Standardized forms were used to abstract data from studies. These data were evaluated for methodological quality, summarized qualitatively, and synthesized under a random effects model. RESULTS: The initial search yielded 831 citations. Nine met inclusion criteria. Five had adequate data (1 RCT and 4 non-RCTs) to include in the meta-analysis. Methodological quality of included studies ranged from weak to strong, with half rated as weak. Findings of the RCTs showed a statistically significant increase in satisfaction with cancer care involving PN (standardized mean difference (SMD) = 2.30; 95% confidence interval 1.79, 2.80, p < 0.001). Pooled results from non-RCTs showed no significant association between PN and satisfaction with cancer-related care (standardized mean difference = 0.39; 95% confidence interval - 0.02, 0.80, p = 0.06). CONCLUSIONS: Although PN has been widely implemented to improve cancer care, high-quality studies are needed to characterize the relationship between PN and satisfaction with cancer-related care.

Satisfaction with cancer care among underserved racial-ethnic minorities and lower-income patients receiving patient navigation.

BACKGROUND: Patient navigation is a barrier-focused program of care coordination designed to achieve timely and high-quality cancer-related care for medically underserved racial-ethnic minorities and the poor. However, to the authors' knowledge, few studies to date have examined the relationship between satisfaction with navigators and cancer-related care. METHODS: The authors included data from 1345 patients with abnormal cancer screening tests or a definitive cancer diagnosis who participated in the Patient Navigation Research Program to test the efficacy of patient navigation. Participants completed demographic questionnaires and measures of patient satisfaction with cancer-related care (PSCC) and patient satisfaction with interpersonal relationship with navigator (PSN-I). The authors obtained descriptive statistics to characterize the sample and conducted regression analyses to assess the degree of association between PSN-I and PSCC, controlling for demographic and clinical factors. Analyses of variance were conducted to examine group differences controlling for statistically significant covariates. RESULTS: Statistically significant relationships were found between the PSCC and PSN-I for patients with abnormal cancer screening tests (1040 patients; correlation coefficient (r), 0.4 [P<.001]) and those with a definitive cancer diagnosis (305 patients; correlation coefficient, 0.4 [P<.001]). The regression analysis indicated that having an abnormal colorectal cancer screening test in the abnormal screening test group and increased age and minority race-ethnicity status in the cancer diagnosis group were associated with a higher satisfaction with cancer care (P<.01). CONCLUSIONS: Satisfaction with navigators appears to be significantly associated with satisfaction with cancer-related care. Information regarding the patient-navigator relationship should be integrated into patient navigation programs to maximize the likelihood of reducing caner disparities and mortality for medically underserved racial-ethnic minorities and the poor.

Effect of patient navigation on satisfaction with cancer-related care.

PURPOSE: Despite growing popularity of patient navigation (PN) as a means to improve cancer care quality and reduce cancer-related disparities, there are few well-designed controlled trials assessing the impact of PN on patient outcomes like satisfaction with care. The present controlled study examined effect of PN on satisfaction with cancer-related care. METHODS: Patients who presented with a symptom or abnormal screening test (n = 1788) or definitive diagnosis (n = 445) of breast, cervical, colorectal, or prostate cancer from eight Patient Navigator Research Program sites were included in one of two groups: intervention (PN) or comparison (usual care or usual care plus cancer educational materials). Trained patient navigators met with intervention group participants to help them assess and identify resources to address barriers to cancer diagnostic or treatment care. Using a validated instrument, we assessed participants' satisfaction with their cancer diagnostic or treatment care up to 3 months after diagnostic resolution of a cancer-related abnormality or within 3 months of initiation of cancer treatment. RESULTS: Overall, patients reported high satisfaction with diagnostic care and cancer treatment. There were no statistically significant differences between PN and control groups in satisfaction with cancer-related care (p > 0.05). Hispanic and African American participants were less likely to report high satisfaction with cancer care when compared to White patients. Middle-aged participants with higher education, higher household income, private insurance, owning their own home, working full-time, and those whose primary language is English had higher satisfaction with cancer-related diagnostic care. CONCLUSIONS: PN had no statistically significant effect on patients' satisfaction with cancer-related care. Further research is needed to define the patient populations who might benefit from PN, content of PN that is most useful, and services that might enhance PN. TRIAL REGISTRATIONS: clinicaltrials.gov identifiers: NCT00613275 , NCT00496678 , NCT00375024 , NCT01569672.

Integrating functional near-infrared spectroscopy in the characterization, assessment, and monitoring of cancer and treatment-related neurocognitive dysfunction.

Cancer and cancer treatment-related neurocognitive dysfunction (CRND) (e.g., impairments in key cognitive domains of attention, memory, processing speed, and executive function), commonly referred to as "chemobrain" or "chemo-fog", can negatively impact patients' psychosocial functioning and quality of life. CRND is a debilitating and enduring adverse effect experienced by 17% to 75% of patients during and after completion of treatment. However, few studies have systematically characterized and tested interventions to treat CRND. This paucity of data is due, at least partly, to difficulties understanding its etiology and a lack of consensus studies on best methods for assessing the presence and severity of CRND. This paper presents a comprehensive model for characterizing, assessing and monitoring cancer and treatment-related neurocognitive dysfunction, with functional near-infrared spectroscopy (fNIRS) as an important component of this model. The benefits of fNIRS to the characterization and longitudinal assessment and monitoring of CRND are discussed. Strategies for integrating optical imaging spectroscopy in biobehavioral oncology research, strength and limitations, and directions for future CRND studies using fNIRS are examined.

Psychometric evaluation of the patient satisfaction with logistical aspects of navigation (PSN-L) scale using item response theory.

BACKGROUND: Patient navigation--the provision of logistical, educational, and emotional support needed to help patients "navigate around" barriers to high-quality cancer treatment offers promise. No patient-reported outcome measures currently exist that assess patient navigation from the patient's perspective. We use a partial independence item response theory model to report on the psychometric properties of the Patient Satisfaction with Navigation, Logistical measure developed for this purpose. METHODS: We used data from an ethnically diverse sample (n = 1873) from the National Cancer Institute Patient Navigation Research Program. We included individuals with the presence of an abnormal breast, cervical, colorectal, or prostate cancer finding. RESULTS: The partial independence item response theory model fit well. Results indicated that scores derived from responses provide extremely precise and reliable measurement between -2.5 SD below and 2 SD above the mean and acceptably precise and reliable measurement across nearly the entire range. CONCLUSIONS: Our findings provide evidence in support of the Patient Satisfaction with Navigation, Logistical. Scale users should utilize 1 of the 2 described methods to create scores.

Neuropsychological care and rehabilitation of cancer patients with chemobrain: strategies for evaluation and intervention development.

Malignant tumors and their various treatments such as chemotherapy, radiotherapy and hormonal therapy can deleteriously affect a large number of cancer patients and survivors on multiple dimensions of psychosocial and neurocognitive functioning. Oncology researchers and clinicians are increasingly cognizant of the negative effects of cancer and its treatments on the brain and its mental processes and cognitive outcomes. Nevertheless, effective interventions to treat cancer and treatment-related neurocognitive dysfunction (CRND), also known as chemobrain, are still lacking. The paucity of data on effective treatments for CRND is due, at least partly, to difficulties understanding its etiology, and a lack of reliable methods for assessing its presence and severity. This paper provides an overview of the incidence, etiology, and magnitude of CRND, and discusses the plausible contributions of psychological, motor function, and linguistic and behavioral complications to CRND. Strategies for reliable neuropsychological screening and assessment, and development and testing of effective ways to mitigate CRND are also discussed.

Item response theory analysis of the patient satisfaction with cancer-related care measure: a psychometric investigation in a multicultural sample of 1,296 participants.

BACKGROUND: We developed and validated a Patient Satisfaction with Cancer-Related Care (PSCC) measure using classical test theory methods. The present study applied item response theory (IRT) analysis to determine item-level psychometric properties, facilitate development of short forms, and inform future applications for the PSCC. METHODS: We applied unidimensional IRT models to PSCC data from 1,296 participants (73% female; 18 to 86 years). An unconstrained graded response model (GRM) and a Rasch Model were fitted to estimate indices for model comparison using likelihood ratio (LR) test and information criteria. We computed item and latent trait parameter estimates, category and operating characteristic curves, and tested information curves for the better fitting model. RESULTS: The GRM fitted the data better than the Rasch Model (LR = 828, df = 17, p < 0.001). The log-likelihood (-17,390.38 vs. -17,804.26) was larger, and the AIC and BIC were smaller for the GRM compared to the Rash Model (AIC = 34,960.77 vs. 35,754.73; BIC = 35,425.80 vs. 36,131.92). Item parameter estimates (IPEs) showed substantial variation in items' discriminating power (0.94 to 2.18). Standard errors of the IPEs were small (threshold parameters mostly around 0.1; discrimination parameters 0.1 to 0.2), confirming the precision of the IPEs. CONCLUSION: The GRM provides precise IPEs that will enable comparable scores from different subsets of items, and facilitate optimal selections of items to estimate patients' latent satisfaction level. Given the large calibration sample, the IPEs can be used in settings with limited resources (e.g., smaller samples) to estimate patients' satisfaction.

Management options for established chemotherapy-induced peripheral neuropathy.

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating condition associated with a variety of chemotherapeutic agents. Clinicians are cognizant of the negative impact of CIPN on cancer treatment outcomes and patients' psychosocial functioning and quality of life. In an attempt to alleviate this problem, clinicians and patients try various therapeutic interventions, despite limited evidence to support efficacy of these treatments. The rationale for such use is mostly based on the evidence for the treatment options in non-CIPN peripheral neuropathy syndromes, as this area is more robustly studied than is CIPN treatment. In this manuscript, we examine the existing evidence for both CIPN and non-CIPN treatments and develop a summary of the best available evidence with the aim of developing a practical approach to the treatment of CIPN, based on available literature and clinical practice experience.

Latent structure and reliability analysis of the measure of body apperception: cross-validation for head and neck cancer patients.

PURPOSE: Cancer and its treatments are associated with psychological distress that can negatively impact self-perception, psychosocial functioning, and quality of life. Patients with head and neck cancers (HNC) are particularly susceptible to psychological distress. This study involved a cross-validation of the Measure of Body Apperception (MBA) for HNC patients. METHODS: One hundred and twenty-two English-fluent HNC patients between 20 and 88 years of age completed the MBA on a Likert scale ranging from "1 = disagree" to "4 = agree." We assessed the latent structure and internal consistency reliability of the MBA using Principal Components Analysis (PCA) and Cronbach's coefficient alpha (α), respectively. We determined convergent and divergent validities of the MBA using correlations with the Hospital Anxiety and Depression Scale (HADS), observer disfigurement rating, and patients' clinical and demographic variables. RESULTS: The PCA revealed a coherent set of items that explained 38 % of the variance. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.73 and the Bartlett's test of sphericity was statistically significant (χ (2) (28) = 253.64; p < 0.001), confirming the suitability of the data for dimension reduction analysis. The MBA had good internal consistency reliability (α = 0.77) and demonstrated adequate convergent and divergent validities based on statistically significant moderate correlations with the HADS (p < 0.01) and observer rating of disfigurement (p < 0.026) and nonstatistically significant correlations with patients' clinical and demographic variables: tumor location, age at diagnosis, and birth place (all p (s) > 0.05). CONCLUSIONS: The MBA is a valid and reliable screening measure of body apperception for HNC patients.

Do better-rated navigators improve patient satisfaction with cancer-related care?

Patient navigation has emerged as a promising strategy for addressing racial-ethnic and socioeconomic disparities in cancer-related care. However, little is known about the impact of patients' perception of the quality of navigation on patient outcomes. We examined the impact of better-rated navigators on patients' satisfaction with cancer-related care. The sample included 1,593 adults (85.8% with abnormal cancer screening and 14.2% with confirmed cancer diagnosis) who received patient navigation. We defined better-rated navigators as those scoring above the first quartile of mean scores on the Patient Satisfaction with Interpersonal Relationship with Navigator scale. We defined patient satisfaction based on scores above or below the median of the Patient Satisfaction with Cancer-Related Care (PSCC) scale. We controlled for patient and site characteristics using backward selection logistic regression analyses. Among patients with abnormal screening, having a better-rated navigator was associated with higher score on the PSCC (p < 0.05). After controlling for other bivariate predictors of satisfaction (e.g., age, race, income, and household size), navigation by better-rated navigators was associated with a greater likelihood of having higher patient satisfaction [odds ratio (OR), 1.38; 95% confidence interval (CI), 1.05-1.82]. Similar findings between better-rated navigators and score on the PSCC were found for participants with diagnosed cancer (OR, 3.06; 95% CI, 1.56-6.0). Patients navigated by better-rated navigators reported higher satisfaction with their cancer-related care.

Cross-cultural validation of a Patient Satisfaction with Interpersonal Relationship with Navigator measure: a multi-site patient navigation research study.

BACKGROUND: Patient navigators are trained to help patients effectively access and use healthcare resources in order to facilitate timely completion of recommended cancer screening, diagnostic care, and treatment. Patient navigators provide logistic, instrumental, and psychosocial support to cancer patients. Yet few studies have examined patient-navigator relationships, particularly for Spanish-speaking patients with low English proficiency. We aimed to validate a Spanish version of the Patient Satisfaction with Interpersonal Relationship with Navigator (PSN-I-Sp) scale. METHODS: We translated and back-translated the PSN-I into Spanish and administered the resulting PSN-I-Sp to 222 Spanish-fluent participants. We conducted a principal components analysis and assessed Cronbach's coefficient alpha (α) to evaluate the latent structure and the internal consistency of the PSN-I-Sp. We also completed correlation analyses to examine divergence and convergence of the PSN-I-Sp with the Spanish version of the Patient Satisfaction with Cancer-Related Care (PSCC-Sp) and the patients' demographics. RESULTS: The principal components analysis revealed a one-dimensional PSN-I-Sp measure that explained 82.0% of the variance. The reliability assessment revealed high internal consistency (α = 0.97). The PSN-I-Sp demonstrated good face validity and adequate convergent and divergent characteristics as indicated by a moderate correlation with scores on the PSCC-Sp (all ps < 0.0001) and a non-statistically significant correlation with marital status (all p > 0.05). CONCLUSION: The PSN-I-Sp is a valid and internally consistent measure of satisfaction with interpersonal relationship with a patient navigator for Spanish-speaking participants.

Psychometric development and reliability analysis of a patient satisfaction with interpersonal relationship with navigator measure: a multi-site patient navigation research program study.

BACKGROUND: Patient navigation (PN) is a method for addressing racial-ethnic and socioeconomically based disparities in cancer-related care. Patient navigators provide logistic and emotional support to underserved patients to facilitate successful completion of diagnostic and treatment care. Yet, little is known about patient satisfaction with the relationship with a navigator due to a dearth of instruments measuring satisfaction. OBJECTIVE: The objective of this study was to validate the Patient Satisfaction with Interpersonal Relationship with Navigator (PSN-I) measure for patients undergoing diagnostic and/or therapeutic cancer care. METHODS: We administered the PSN-I to 783 participants from the nine different sites of the National Cancer Institute sponsored Patient Navigation Research Program. We evaluated the latent structure and internal consistency of the PSN-I using principal components analysis (PCA) and Cronbach coefficient alpha (α), respectively. We used correlation analyses to examine divergence and convergence of the PSN-I with the Patient Satisfaction with Cancer-related Care (PSCC), the Rapid Estimate of Adult Literacy in Medicine (REALM) Long Form, and patients' demographics. RESULTS: The PCA revealed a coherent set of items that explicates 76.6% of the variance in PSN-I. Reliability assessment revealed high internal consistency (α ranging from 0.95 to 0.96). The PSN-I had good face validity as well as convergent and divergent validities as indicated by moderate correlations with score on the PSCC (all ps < 0.0001) and non-significant correlations with primary language, marital status, and scores on the REALM Long Form (all ps > 0.05). CONCLUSION: The PSN-I is a valid and suitable measure of satisfaction with a patient navigator for the present sample.

Psychometric validation and reliability analysis of a Spanish version of the patient satisfaction with cancer-related care measure: a patient navigation research program study.

BACKGROUND: Patient satisfaction (PS), a key measure of quality of cancer care, is a core study outcome of the multi-site National Cancer Institute-funded Patient Navigation Research Program. Despite large numbers of underserved monolingual Spanish speakers (MSS) residing in USA, there is no validated Spanish measure of PS that spans the whole spectrum of cancer-related care. The present study reports on the validation of the Patient Satisfaction with Cancer Care (PSCC) measure for Spanish (PSCC-Sp) speakers receiving diagnostic and therapeutic cancer-related care. METHODS: Original PSCC items were professionally translated and back translated to ensure cultural appropriateness, meaningfulness, and equivalence. Then, the resulting 18-item PSCC-Sp measure was administered to 285 MSS. We evaluated latent structure and internal consistency of the PSCC-Sp using principal components analysis (PCA) and Cronbach coefficient alpha (α). We used correlation analyses to demonstrate divergence and convergence of the PSCC-Sp with a Spanish version of the Patient Satisfaction with Interpersonal Relationship with Navigator (PSN-I-Sp) measure and patients' demographics. RESULTS: The PCA revealed a coherent set of items that explicates 47% of the variance in PS. Reliability assessment demonstrated that the PSCC-Sp had high internal consistency (α = 0.92). The PSCC-Sp demonstrated good face validity and convergent and divergent validities as indicated by moderate correlations with the PSN-I-Sp (p = 0.003) and nonsignificant correlations with marital status and household income (all p(s) > 0.05). CONCLUSION: The PSCC-Sp is a valid and reliable measure of PS and should be tested in other MSS populations.

Analysis of combined data from heterogeneous study designs: an applied example from the patient navigation research program.

BACKGROUND: The Patient Navigation Research Program (PNRP) is a cooperative effort of nine research projects, with similar clinical criteria but with different study designs. To evaluate projects such as PNRP, it is desirable to perform a pooled analysis to increase power relative to the individual projects. There is no agreed-upon prospective methodology, however, for analyzing combined data arising from different study designs. Expert opinions were thus solicited from the members of the PNRP Design and Analysis Committee. PURPOSE: To review possible methodologies for analyzing combined data arising from heterogeneous study designs. METHODS: The Design and Analysis Committee critically reviewed the pros and cons of five potential methods for analyzing combined PNRP project data. The conclusions were based on simple consensus. The five approaches reviewed included the following: (1) analyzing and reporting each project separately, (2) combining data from all projects and performing an individual-level analysis, (3) pooling data from projects having similar study designs, (4) analyzing pooled data using a prospective meta-analytic technique, and (5) analyzing pooled data utilizing a novel simulated group-randomized design. RESULTS: Methodologies varied in their ability to incorporate data from all PNRP projects, to appropriately account for differing study designs, and to accommodate differing project sample sizes. LIMITATIONS: The conclusions reached were based on expert opinion and not derived from actual analyses performed. CONCLUSIONS: The ability to analyze pooled data arising from differing study designs may provide pertinent information to inform programmatic, budgetary, and policy perspectives. Multisite community-based research may not lend itself well to the more stringent explanatory and pragmatic standards of a randomized controlled trial design. Given our growing interest in community-based population research, the challenges inherent in the analysis of heterogeneous study design are likely to become more salient. Discussion of the analytic issues faced by the PNRP and the methodological approaches we considered may be of value to other prospective community-based research programs.