A comparison of the prevalence of dry mouth and other symptoms using two different versions of the Edmonton Symptom Assessment System on an inpatient palliative care unit.

BACKGROUND: Symptom assessment is key to effective symptom management and palliative care for patients with advanced cancer. Symptom prevalence and severity estimates vary widely, possibly dependent on the assessment tool used. Are symptoms specifically asked about or must the patients add them as additional symptoms? This study compared the prevalence and severity of patient-reported symptoms in two different versions of a multi-symptom assessment tool. In one version, three symptoms dry mouth, constipation, sleep problems were among those systematically assessed, while in the other, these symptoms had to be added as an "Other problem". METHODS: This retrospective cross-sectional study included adult patients with advanced cancer at an inpatient palliative care unit. Data were collected from two versions of the Edmonton Symptom Assessment System (ESAS): modified (ESAS-m) listed 11 symptoms and revised (ESAS-r) listed 9 and allowed patients to add one "Other problem". Seven similar symptoms were listed in both versions. RESULTS: In 2013, 184 patients completed ESAS-m, and in 2017, 156 completed ESAS-r. Prevalence and severity of symptoms listed in both versions did not differ. In ESAS-m, 83% reported dry mouth, 73% constipation, and 71% sleep problems, but on ESAS-r, these symptoms were reported by only 3%, 15% and < 1%, respectively. Although ESAS-r severity scores for these three symptoms were higher than on ESAS-m, differences did not reach statistical significance. CONCLUSION: We identified significant differences in patient symptom reporting based on whether symptoms like dry mouth, obstipation and sleep problems were specifically assessed or had to be added by patients as an "Other problem".

Hospital characteristics associated with nurse staffing during labor and birth: Inequities for the most vulnerable maternity patients.

BACKGROUND: Evidence is limited on nurse staffing in maternity units. PURPOSE: To estimate the relationship between hospital characteristics and adherence with Association of Women's Health, Obstetric and Neonatal Nurses nurse staffing guidelines. METHODS: We enrolled 3,471 registered nurses in a cross-sectional survey and obtained hospital characteristics from the 2018 American Hospital Association Annual Survey. We used mixed-effects linear regression models to estimate associations between hospital characteristics and staffing guideline adherence. FINDINGS: Overall, nurses reported strong adherence to AWHONN staffing guidelines (rated frequently or always met by ≥80% of respondents) in their hospitals. Higher birth volume, having a neonatal intensive care unit, teaching status, and higher percentage of births paid by Medicaid were all associated with lower mean guideline adherence scores. DISCUSSION AND CONCLUSIONS: Important gaps in staffing were reported more frequently at hospitals serving patients more likely to have medical or obstetric complications, leaving the most vulnerable patients at risk.

Psychometric properties of a short version of Lee Fatigue Scale used as a generic PROM in persons with stroke or osteoarthritis: assessment using a Rasch analysis approach.

BACKGROUND: Fatigue is a common symptom associated with a wide range of diseases and needs to be more thoroughly studied. To minimise patient burden and to enhance response rates in research studies, patient-reported outcome measures (PROM) need to be as short as possible, without sacrificing reliability and validity. It is also important to have a generic measure that can be used for comparisons across different patient populations. Thus, the aim of this secondary analysis was to evaluate the psychometric properties of the Norwegian 5-item version of the Lee Fatigue Scale (LFS) in two distinct patient populations. METHODS: The sample was obtained from two different Norwegian studies and included patients 4-6 weeks after stroke (n = 322) and patients with osteoarthritis on a waiting list for total knee arthroplasty (n = 203). Fatigue severity was rated by five items from the Norwegian version of the LFS, rating each item on a numeric rating scale from 1 to 10. Rasch analysis was used to evaluate the psychometric properties of the 5-item scale across the two patient samples. RESULTS: Three of the five LFS items ("tired", "fatigued" and "worn out") showed acceptable internal scale validity as they met the set criterion for goodness-of-fit after removal of two items with unacceptable goodness-of-fit to the Rasch model. The 3-item LFS explained 81.6% of the variance, demonstrated acceptable unidimensionality, could separate the fatigue responses into three distinct severity groups and had no differential functioning with regard to disease group. The 3-item version of the LFS had a higher separation index and better internal consistency reliability than the 5-item version. CONCLUSIONS: A 3-item version of the LFS demonstrated acceptable psychometric properties in two distinct samples of patients, suggesting it may be useful as a brief generic measure of fatigue severity. TRIAL REGISTRATION: Clinicaltrials.gov: NCT02338869; registered 10/04/2014 (stroke study).

The Little Schmidy Pediatric Hospital Fall Risk Assessment Index: A diagnostic accuracy study.

BACKGROUND: Falls are among the most common potentially preventable adverse events. Current pediatric falls risk assessment methods have poor precision and accuracy. OBJECTIVE: To evaluate an inpatient pediatric fall risk assessment index, known as the Little Schmidy, and describe characteristics of pediatric falls. DESIGN: Retrospective case control and descriptive study. The dataset included 114 reported falls and 151,678 Little Schmidy scores documented in medical records during the 5-year study period (2007-2011). SETTING: Pediatric medical and surgical inpatient units of an academic medical center in the western United States. PARTICIPANTS: Pediatric hospital inpatients <25 years of age. METHODS: Nurses used the 5-item, 7-point Little Schmidy to assess fall risk each day and night shift throughout the patient's hospitalization. Conditional fixed-effects logistic regressions were used to examine predictive relationships between Little Schmidy scores (at admission, highest prior to fall, and just prior to fall) and the patient's fall status (fell or not). The sensitivity and specificity of different cut-off scores were explored. Associations between Little Schmidy scores and patient and hospitalization factors were examined using multilevel mixed-effects logistic regression and multilevel mixed-effects ordinal logistic regression. RESULTS: Little Schmidy scores were significantly associated with pediatric falls (p<0.005). Maximal performance was achieved with a 4-item, 4-point, Little Schmidy index (LS4) using a cut-off score of 1 to indicate fall risk with sensitivity of 79% and specificity of 49%. Patients with an LS4 score ≥1 were 4 times more likely to fall before the next assessment than patients with a score of 0. LS4 scores indicative of fall risk were associated with age ≥5 years, neurological diagnosis, multiple hospitalizations, and night shift, but not with sex, length of hospital stay, or hospital unit. Of the 114 reported falls, 64% involved a male patient, nearly one third (32%) involved adolescents (13-17 years), most resulted in no (59%) or mild (36%) injury, and most (54%) were related to diagnosis or clinical characteristics. For 60% of the falls, fall precautions had been implemented prior to the fall. CONCLUSIONS: The revised 4-item Little Schmidy, the LS4, predicts pediatric falls when administered every day and night shift, but identifies most patients (65%) as being at risk for fall. Strategies for improving the accuracy and efficiency of the assessments are proposed. Further research is needed to develop more effective pediatric fall prevention strategies tailored to patient's age, diagnosis, and time of day.

Symptom Clusters Change Over Time in Women Receiving Adjuvant Chemotherapy for Breast Cancer.

CONTEXT: Patients with breast cancer receiving chemotherapy (CTX) experience multiple concurrent symptoms, but little is known about how symptoms change during and after treatment. Knowledge of the identity and trajectory of symptom clusters (SCs) would enhance measurement and management. OBJECTIVES: We aimed to identify SCs and their change over time from baseline to completion of breast cancer CTX. METHODS: SCs were identified and assessed for change in 219 women from Nebraska at four times: baseline, during cycles #3 and #4 of CTX, and one month after finishing CTX. Ten symptoms were measured: two using the Hospital Anxiety and Depression Scale and eight using the Symptom Experience Scale. Exploratory factor analysis was conducted at each time point, then changes in SCs were evaluated at different times. RESULTS: Two SCs were identified before and after initiating CTX: gastrointestinal and treatment-related. The number and type of symptoms in each cluster differed over time. Clusters were dynamic during CTX with changes in the number and type of symptoms. Only one treatment-related SC, which consisted of fatigue, pain, and sleep disturbance, was identified after CTX completion. CONCLUSION: SCs during CTX appear to be dynamic, changing over time from before until after CTX completion. Repeated assessments of SCs reveal symptoms that are present and when patients are most burdened and in need of additional support.

Medication adherence among transgender women living with HIV.

Medication adherence is linked to health outcomes among adults with HIV infection. Transgender women living with HIV (TWLWH) in the US report suboptimal adherence to medications and are found to have difficulty integrating HIV medication into their daily routine, but few studies explore the factors associated with medication adherence among transgender women. Thus, the purpose of this paper is to examine demographic and clinical factors related to self-reported medication adherence among transgender women. This secondary analysis is based on data collected from the Symptom and Genetic Study that included a convenience sample of 22 self-identified transgender women, 201 non-transgender men, and 72 non-transgender women recruited in northern California. Self-reported medication adherence was assessed using the AIDS Clinical Trials Group Adherence Questionnaire. Gender differences in demographic and clinical variables were assessed, as were differences between transgender women reporting high and low adherence. Transgender women had lower adherence to medications compared to non-transgender males and non-transgender females (p = .028) and were less likely to achieve viral suppression (p = .039). Within the transgender group, Black/African-Americans reported better adherence than participants who were Whites/Caucasian or other races (p = .009). Adherence among transgender women was unrelated to medication count and estrogen therapy, but consistent with other reports on the HIV population as a whole; transgender women with high adherence were more likely to achieve viral suppression compared to the transgender women with low adherence. Despite the high incidence of HIV infection in the transgender population, few studies focus on TWLWH, either in regard to their adherence to antiretroviral therapies or to their healthcare in general. To address ongoing health disparities, more studies are needed focusing on the transgender population's continuum of care in HIV therapies.