"At the End of the Day, My Goal is to Help People Feed Their Babies Human Milk": A Qualitative Exploration of the Pumping Attitudes of Lactation Care Providers.

BACKGROUND: Parents who express milk by pumping often feel this is judged as inferior to direct breastfeeding by healthcare providers, leaving parents feeling unsupported. Healthcare provider attitudes can influence decisions about human milk feeding directly at the chest. Yet, there is a gap in knowledge regarding lactation care provider attitudes about pumping. RESEARCH AIM: To explore the attitudes and feelings of lactation care providers about pumping. METHOD: A qualitative descriptive design was utilized. Researchers conducted semi-structured interviews with a convenience sample of 15 lactation care providers in the United States, recruited via social media. Data were analyzed using thematic analysis. RESULTS: Four themes emerged: (1) I Support You, (2) But It's Not the Same, (3) Frustration with Social Media, and (4) Changing Perspectives. Participants held positive attitudes toward pumping as a tool to meet human milk feeding goals. They strived to provide judgement-free support but stressed the importance of setting realistic expectations and sharing the difference in benefits and work between direct breastfeeding and pumping. Providers held negative attitudes about the portrayal of pumping on social media. The participants' perspectives were that, while there has been stigma surrounding pumping in the past, views are changing. CONCLUSION: Lactation care providers strive to provide judgement-free support for pumping, but communicating challenges about pumping may be perceived negatively by parents. More research is needed on lactation care provider education on pumping, interventions to reduce bias, and how these affect providers' pumping beliefs, attitudes, and provision of judgement-free delivery of care.

Characteristics of Hospitalized Adults 55 and Older With Clostridioides difficile Infection.

Clostridioides difficile infection in older adults can result in severe infection, difficulty in treating, and complicated disease process, yet few studies have examined the characteristics of hospitalized older adults and recurrent Clostridioides difficile infection. A retrospective cohort study was conducted to explore the characteristics of hospitalized adults 55 years and older with initial Clostridioides difficile infection and recurrences by extracting routinely documented data in the electronic health record. A sample of 1,199 admissions on 871 patients was included, with a recurrence rate of 23.9% ( n = 208). During the first admission, there were 79 deaths (9.1%). Clostridioides difficile infection recurrence was more prevalent in patients between 55 and 64 years old, and if discharged to a skilled nursing facility or with home health services. Chronic diseases significantly more prevalent in recurrent Clostridioides difficile infection included hypertension, heart failure, and chronic kidney disease. On initial admission, no laboratory abnormalities were significantly associated with recurrent Clostridioides difficile infection. This study indicates the need for utilizing routinely captured electronic health record data during acute hospitalizations to aid in targeting care to reduce morbidity, mortality, and recurrence.

Using the ModSPICES Geriatric Assessment Tool in Undergraduate Nursing Education.

BACKGROUND: Trends in aging demographics for a growing older adult population highlights the need for Gerontologic nursing competencies to prepare future nurses to provide safe and effective person-centered care. METHOD: A geriatric assessment learning module incorporated the ModSPICES assessment tool based on geriatric syndromes in a didactic and clinical course in a prelicensure baccalaureate nursing program to facilitate nursing students' critical thinking and clinical judgment in the care of hospitalized older adults. RESULTS: The ModSPICES tool fostered nursing students' critical thinking for data collection with attention to geriatric syndromes, which are highly prevalent and associated with numerous adverse outcomes but are also preventable and treatable. The tool helped to aggregate diverse clinical information and establish priorities in care. CONCLUSION: The learning module strengthened the linkage between the classroom and clinical setting, enhanced the student's capacity and confidence in the promotion of function-focused care, and facilitated refinement of their evolving assessment skills. [J Nurs Educ. 2022;61(6):338-344.].

Hospital Readmission Outcomes by Frailty Risk in Adults in Behavioral Health Acute Care.

The purpose of the current retrospective study was to determine whether frailty is predictive of 30-day readmission in adults aged ≥50 years who were admitted with a psychiatric diagnosis to a behavioral health hospital from 2013 to 2017. A total of 1,063 patients were included. A 26-item frailty risk score (FRS-26-ICD) was constructed from electronic health record (EHR) data. There were 114 readmissions. Cox regression modeling for demographic characteristics, emergent admission, comorbidity, and FRS-26-ICD determined prediction of time to readmission was modest (incremental area under the receiver operating characteristic curve = 0.671). The FRS-26-ICD was a significant predictor of readmission alone and in models with demographics and emergent admission; however, only the Elixhauser Comorbidity Index was significantly related to hazard of readmission adjusting for other factors (adjusted hazard ratio = 1.26, 95% confidence interval [1.17, 1.37]; p < 0.001), whereas FRS-26-ICD became non-significant. Frailty is a relevant syndrome in behavioral health that should be further studied in risk prediction and incorporated into care planning to prevent hospital readmissions. [Journal of Psychosocial Nursing and Mental Health Services, 59(10), 27-39.].

Comparison of a Frailty Risk Score and Comorbidity Indices for Hospital Readmission Using Electronic Health Record Data.

The purpose of the current study was to investigate the predictive properties of five definitions of a frailty risk score (FRS) and three comorbidity indices using data from electronic health records (EHRs) of hospitalized adults aged ≥50 years for 3-day, 7-day, and 30-day readmission, and to identify an optimal model for a FRS and comorbidity combination. Retrospective analysis of the EHR dataset was performed, and multivariable logistic regression and area under the curve (AUC) were used to examine readmission for frailty and comorbidity. The sample (N = 55,778) was mostly female (53%), non-Hispanic White (73%), married (53%), and on Medicare (55%). Mean FRSs ranged from 1.3 (SD = 1.5) to 4.3 (SD = 2.1). FRS and comorbidity were independently associated with readmission. Predictive accuracy for FRS and comorbidity combinations ranged from AUC of 0.75 to 0.77 (30-day readmission) to 0.84 to 0.85 (3-day readmission). FRS and comorbidity combinations performed similarly well, whereas comorbidity was always independently associated with readmission. FRS measures were more associated with 30-day readmission than 7-day and 3-day readmission. [Research in Gerontological Nursing, 14(2), 91-103.].