Spirituality moderates the relationship between cancer caregiver burden and depression.

OBJECTIVES: Cancer has become a chronic disease that requires a considerable amount of informal caregiving, often quite burdensome to family caregivers. However, the influence of spirituality on the caregivers' burden and mental health outcomes has been understudied. This study was to examine how caregiver burden, spirituality, and depression change during cancer treatment and investigate the moderating role of spirituality in the relationship between caregiver burden and depression for a sample of caregivers of persons with cancer. METHODS: This secondary analysis used a longitudinal design employing 3 waves of data collection (at baseline, 3 months, and 6 months). Family caregivers completed the Caregiver Reaction Assessment, Spiritual Perspective Scale, and the PROMIS® depression measure. Linear mixed model analyses were used, controlling for pertinent covariates. RESULTS: Spirituality, total caregiver burden, and depression remained stable over 6 months. More than 30% of the caregivers had mild to severe depressive symptoms at 3 time points. There was evidence of overall burden influencing depression. Of note was a protective effect of caregivers' spirituality on the relationship between depression and caregiver burden over time (b = -1.35, p = .015). The lower the spirituality, the stronger the relationship between depression and burden, especially regarding subscales of schedule burden, financial burden, and lack of family support. SIGNIFICANCE OF RESULTS: Spirituality was a significant resource for coping with caregiving challenges. This study suggests that comprehensive screening and spiritual care for cancer caregivers may improve their cancer caregiving experience and possibly influence the care recipients' health.

Caregiver burden and related factors during active cancer treatment: A latent growth curve analysis.

PURPOSE: Caregiver burden is frequently studied cross-sectionally, but longitudinal studies on family caregiver burden during active cancer treatment are lacking. The goals of this study were to characterize trajectories of caregivers' burden during a 6-month active treatment period, and to examine which predictors are associated with their burden. METHOD: This study was a secondary analysis of data from a prospective study. A sample of 112 family caregivers of patients receiving cancer treatment were assessed at three time points (the initiation of new treatment regimen, 3-, and 6-month follow-up). Caregivers completed measures: Caregiver Reaction Assessment and Mutuality Scale of the Family Care Inventory. Data were analyzed using latent growth curve modeling. RESULTS: The two highest burdens were subdomains related to disrupted schedule and financial problems. Models showed a decline in schedule burden over time, yet total burden and other subscales (financial problems, health problems, and lack of family support and self-esteem) remained relatively stable. In multivariate analysis, mutuality, the relationship quality between patients and caregivers was inversely related to burden at baseline. Being a spouse, a sole caregiver and lower income were related to higher burden over time. CONCLUSIONS: Our findings confirmed significant determinants of caregiver burden over the course of active treatment. It is important for health care providers to be attentive to vulnerable caregivers who are at higher risk of elevated burden over time. Considering the multidimensional nature of caregiver burden, early assessment and tailored support programs may be effective by focusing on patient-caregiver relationships, caregiving roles, and income.

Spirituality among family caregivers of cancer patients: The Spiritual Perspective Scale.

Spirituality is a critical resource for family caregivers of patients with cancer. However, studies on spirituality are hampered because measures of spirituality lack consistency and have not been validated in cancer caregivers. This study examined the validity of the Spiritual Perspective Scale (SPS) among cancer caregivers and explored whether measurement bias may influence differences in spirituality across caregiver and patient characteristics. In this secondary analysis, 124 caregivers of cancer patients were used to evaluate the validity of the 10-item SPS. A multiple indicators multiple causes model was applied to explore differences in the association between a latent spirituality factor and characteristics of caregivers and patients. Overall reliability of the SPS was adequate (Cronbach's α = .95). The SPS scores were predictive of higher meaning and purpose (r = .32, p = .004) and lower depression (r = -.22, p = .046) at 3-month follow-up. Construct validity of the SPS with a single-factor structure was supported in cancer caregivers. Adjusting for a direct effect of race did not alter the pattern of results, and caregivers who were older, female, ethnic minorities, less-educated, affiliated with a religion, and who provided care to another individual in addition to the patient had greater levels of spirituality. This study provides evidence for psychometric validation of the SPS in cancer caregivers. Understanding differences in caregivers' spirituality by using the SPS with psychometrically acceptable properties and minimal measurement bias deserves more attention to optimize spirituality assessment and support in cancer caregiving.

A Review of Tools to Screen for Social Determinants of Health in the United States: A Practice Brief.

Increasingly, health care institutions are called on to address social determinants of health (SDH) given the connection to morbidity and mortality across populations. However, widespread implementation of screening for health-related social conditions (HRSC) is lagging. It is estimated that half of patients who have such needs may be missed by failure to screen routinely. Health care institutions face gaps in information related to screening tools. A review of tools that screen for HRSC at the individual level is needed to share readily available and applicable tools for integration in various settings, to communicate how tools are typically administered, and to assess whether tools capture domains corresponding with Institute of Medicine (IOM) core measures. To address these gaps, an unsystematic rapid review of the literature was conducted. In addition to peer-reviewed literature, Google, PubMed, and CINAHL databases and grey literature were searched with a focus on lead agencies or scholars in the field. English language publications from 2008-2018 with content related to SDH or health-related social condition screening tools were included. Nine commonly applied tools were selected and reviewed for content, setting, and method of administration. Fifteen common domains were identified and assessed for alignment with IOM recommendations and correspondence with the construct of social stability. This review consolidates essential information about HRSC screening tools in 1 place and provides practice, policy, and research recommendations to improve HRSC screening. This review is a practice brief that can help health care institutions and clinicians implement screening and interventions related to HRSC.

Study protocol testing toolkit versus usual care for implementation of screening, brief intervention, referral to treatment in hospitals: a phased cluster randomized approach.

BACKGROUND: Alarming rates of unhealthy alcohol, non-prescription drug, and tobacco use highlight the preventable health risks of substance abuse and the urgent need to activate clinicians to recognize and treat risky use. Screening, brief intervention, and referral to treatment (SBIRT) is an efficacious and effective processes to identify, reduce and prevent risky use of substances. This paper describes a study protocol testing implementation of a toolkit to enhance use of SBIRT in acute care settings to recognize and address patient risky alcohol, drug, and tobacco use. METHODS: This study uses a phased cluster randomized mixed method design to test nurse-led implementation of an SBIRT toolkit on one medical-surgical unit at 14 acute care hospitals (critical access, community and academic health centers). Medical surgical units will be randomly assigned to implement the SBIRT toolkit (engagement and communication, assessment, planning, training, and evaluation tools) or a wait-list usual care control group that begins implementation 6 months later. Primary endpoints are documentation of SBIRT delivery in randomly selected electronic medical records at baseline, 6 months and 12 months after group 1 implementation (61 records per unit per time period, N = 2562). Two surveys will be administered to unit nurses: smoking cessation activities will be assessed at baseline and SBIRT use will be assessed on randomly-selected days after implementation. In addition, site coordinators will complete a baseline capacity assessment, an implementation fidelity survey post-implementation, and a structured interview at the end of the study. Multilevel mixed-effects effects logistic and linear models will be used to analyze use of SBIRT and cost outcomes. DISCUSSION: This study will guide subsequent SBIRT implementation, dissemination, and spread across rural, community and urban healthcare systems throughout the state and beyond. The long-term objective is to activate clinicians to recognize, intervene and refer people with risky substance use to improve health and decrease substance use disorders. Trial registration ClinicalTrials.gov NCT03560076.

Multisite Studies Demonstrate Positive Relationship Between Practice Environments and Smoking Cessation Counseling Evidence-Based Practices.

PROBLEM: High-quality smoking cessation counseling guidelines for people who use tobacco are not fully integrated in acute-care services presenting missed opportunities to improve health outcomes. The role of the practice environment on enhancing or inhibiting guideline use is unknown. OBJECTIVE: To examine the relationship between the nurse practice environment and nurses' use of smoking cessation counseling practices, and to evaluate the effect of the individual nurse and organization characteristics on nurse smoking cessation counseling practices. DESIGN: Cross-sectional secondary analysis of survey data from two multisite studies. SAMPLE: The sample included responses from registered nurses (N = 844) in 45 hospitals (22 rural hospitals from the Eastern United States and 23 Magnet hospitals across the United States). METHODS: Linear mixed model was used to adjust intradependency among the responses of individual nurses nested within hospitals. Data were abstracted from survey responses including nurse characteristics, the Smoking Cessation Counseling Scale (SCCS), and the Practice Environment Scale-Nursing Work Index (PES). RESULTS: Increasing positive relationships exist between PES and SCCS total and subscales scores. Also, SCCS total scores were significantly related with favorable PES total scores (SCCS score difference of 0.26 between favorable and unfavorable PES scores, SE = .08, p = .002) controlling for other covariates. Non-White respondents (vs. White) demonstrated a positive association with SCCS total scores (difference of .18, SE = .07, p = .010), but not in advanced counseling. LINKING EVIDENCE TO ACTION: Nurse practice environments are positively associated with the use of evidence-based smoking cessation practices by nurses. As practice environments become more favorable, higher level counseling practices occur more often. Healthcare leaders should focus on enhancing the practice environment using a quality improvement approach and framework for evidence translation. Quality improvement initiatives should be prioritized in which high-quality evidence is available to support nursing processes.

Psychometric Testing of the Smoking Cessation Counseling Scale Among Magnet® Hospital Nurses.

Psychometrics of the Smoking Cessation Counseling Scale, which measures adherence to evidence-based smoking cessation counseling practice, were originally estimated among rural hospital nurses. The purpose of this study was to estimate the scale's reliability, convergent validity, and factor structure among 289 nurses from 27 acute care Magnet® hospitals. The scale demonstrated acceptable estimates for internal consistency (Cronbach's α = .95, 95% CI = [0.94, 0.96]). Convergent validity was supported by the association with comfort in conducting smoking cessation counseling (coefficient = 3.58, 95% CI = [2.80, 4.37]) and shared vision (coefficient = 0.72, 95% CI = [0.02, 1.42]). A four-factor structure (standard care, basic counseling, advanced counseling, and referral to services) was identified. Findings supported the scale's reliability and convergent validity among Magnet® hospital nurses. Further testing is needed to confirm the four-factor structure and accumulate psychometric evidence among different nursing providers and health care settings to expand the use of the instrument.

Oxaliplatin-Induced Peripheral Neuropathy and Identification of Unique Severity Groups in Colorectal Cancer.

CONTEXT: Oxaliplatin-induced peripheral neuropathy (OIPN) is a dose-limiting toxicity of oxaliplatin and affects most colorectal cancer patients. OIPN is commonly evaluated by patient symptom report, using scales to reflect impairment. They do not discriminate between unique grouping of symptoms and signs, which impedes prompt identification of OIPN. OBJECTIVE: The objective of this study was to identify clusters of symptoms and signs that differentiated underlying clinical severity and segregated patients within our population into OIPN subgroups. METHODS: Chemotherapy-naive colorectal cancer patients (N = 148) receiving oxaliplatin were administered the Total Neuropathy Score clinical (TNSc©), which includes symptom report (sensory, motor, autonomic) and sensory examination (pin sense, vibration, reflexes). The TNSc was administered before chemotherapy initiation (T0) and after cumulative doses of oxaliplatin 510-520 mg/m2 (T1) and 1020-1040 mg/m2 of oxaliplatin (T2). Using mean T2 TNSc scores, latent class analysis grouped patients into OIPN severity cohorts. RESULTS: Latent class analysis categorized patients into four distinct OIPN groups: low symptoms and low signs (n = 54); low symptoms and intermediate signs (n = 44); low symptoms and high signs (n = 21); and high symptoms and high signs (n = 29). No differences were noted among OIPN groups on age, sex, chemotherapy regimen, or cumulative oxaliplatin dose. CONCLUSION: We identified OIPN patient groups with distinct symptoms/signs, demonstrating variability of OIPN presentation regardless of cumulative oxaliplatin dose. Over half of the sample had positive findings on OIPN examination despite little or no symptoms. Sensory examination of all patients receiving oxaliplatin is indicated for timely identification of OIPN, which will allow earlier symptom management.

Characteristics of Patients with Lower Extremity Trauma with Improved and Not Improved Pain During Hospitalization: A Pilot Study.

Up to 62% of patients report chronic pain at the injury site 6-12 months after blunt trauma, with pain from lower extremity fractures exceeding that from other sites. High pain intensity at time of injury is a risk factor for chronic pain, but it is not clear what patient characteristics influence the pain intensity level during the immediate hospitalization following injury. The purpose of this pilot study was to determine the feasibility of collecting pain scores from medical records to calculate pain trajectories and to determine whether it is possible to examine patient characteristics by classifying them into those whose pain improved and those whose pain did not improve. This descriptive study retrospectively reviewed medical records of 18 randomly chosen patients admitted to an academic trauma center. Patient characteristics and pain scores were collected form electronic and handwritten medical records. The pain trajectories calculated from routinely collected pain scores during the inpatient stay showed that for 44% of patients the pain improved during the hospitalization, for 39% the pain remained the same, and for 17% the pain worsened. The variables age, smoking, weight, abbreviated injury scores, length of hospital stay, mean pain score, and opioid equianalgesic dose differed based on pain trajectory. While patient characteristics differed based on pain trajectory, any significant effects seen from individual tests should be considered tentative, given the number of analyses conducted on this data set. However, feasibility and significance of conducting a larger study has been established.