Browsing by Subject "Inpatient"

Now showing 1 - 5 of 5
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    Assessing Behavioral Outcomes in Youth with Autism Following Evidence-Based Interventions
    (2022-12) Navudu, Sai Pooja; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum, completed at HANDS in Autism® in collaboration with the Indiana NeuroDiagnostic Institute (NDI), focused on evaluating the behavioral outcomes of individuals with Autism Spectrum Disorder (ASD) receiving psychiatric services. The project involved systematic data collection from the Cerner patient portal, followed by data harmonization in Microsoft Excel and coding using REDCap. Psychiatric and behavioral factors were coded to identify patterns and changes in behavior across treatment episodes. The goal was to assess the effectiveness of autism-related services and interventions provided within the inpatient setting. Results from this exploratory analysis will inform potential modifications to HANDS training modules and curricula to better align with client needs and improve long-term care outcomes for individuals with ASD. The practicum also provided practical training in data analysis, coding, and interpretation of real-world clinical data.
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    eHealth Use on Acute Inpatient Mental Health Units: Implementation Processes, Common Practices, and Barriers to Use
    (Springer Nature, 2023) Bass, Emily; Garabrant, Jennifer; Salyers, Michelle P.; Patterson, Scott; Iwamasa, Gayle Y.; McGuire, Alan B.; Psychology, School of Science
    Information technology to promote health (eHealth) is an important and growing area of mental healthcare, yet little is known about the use of patient-facing eHealth in psychiatric inpatient settings. This quality improvement project examined the current practices, barriers, implementation processes, and contextual factors affecting eHealth use across multiple Veteran Health Administration (VHA) acute mental health inpatient units. Staff from units serving both voluntary and involuntary patients (n = 49 from 37 unique sites) completed surveys regarding current, desired, and barriers to use of Veteran-facing eHealth technologies. Two subsets of respondents were then interviewed (high success sites in eHealth use, n = 6; low success sites, n = 4) to better understand the context of their eHealth use. Survey responses indicated that 20% or less of Veterans were using any type of eHealth technology while inpatient. Tablets and video chat were the most desired overall and most successfully used eHealth technologies. However, many sites noted difficulty implementing these technologies (e.g., limited Wi-Fi access). Qualitative analysis of interviews revealed differences in risk/benefit analysis and implementation support between high and low success eHealth sites. Despite desired use, patient-facing eHealth technology is not regularly implemented on inpatient units due to multiple barriers (e.g., limited staffing, infrastructure needs). Successful implementation of patient-facing eHealth may require an internal champion, guidance from external supports with experience in successful eHealth use, workload balance for staff, and an overall perspective shift in the benefits to eHealth technology versus the risks.
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    Pain Management Experiences Among Hospitalized Postcraniotomy Brain Tumor Patients
    (Wolters Kluwer, 2021) Foust Winton, Rebecca E.; Draucker, Claire B.; Von Ah, Diane; School of Nursing
    Background: Brain tumors account for the majority of central nervous system tumors, and most are removed by craniotomies. Many postcraniotomy patients experience moderate or severe pain after surgery, but patient perspectives on their experiences with pain management in the hospital have not been well described. Objective: The aim of this study was to describe how patients who have undergone a craniotomy for brain tumor removal experience pain management while hospitalized. Methods: Qualitative descriptive methods using semistructured interviews were conducted with patients on a neurological step-down unit in an urban teaching hospital in the Midwest United States. Interviews focused on how patients experienced postcraniotomy pain and how it was managed. Narratives were analyzed with standard content analytic procedures. Results: Twenty-seven participants (median age, 58.5 years; interquartile range, 26-41 years; range, 21-83 years) were interviewed. The majority were white (n = 25) and female (n = 15) and had an anterior craniotomy (n = 25) with sedation (n = 17). Their pain experiences varied on 2 dimensions: salience of pain during recovery and complexity of pain management. Based on these dimensions, 3 distinct types of pain management experiences were identified: (1) pain-as-nonsalient, routine pain management experience; (2) pain-as-salient, routine pain management experience; and (3) pain-as-salient, complex pain management experience. Conclusions: Many postcraniotomy patients experience their pain as tolerable and/or pain management as satisfying and effective; others experience pain and pain management as challenging. Implications for practice: Clinicians should be attuned to needs of patients with complex pain management experiences and should incorporate good patient/clinician communication.
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    Pain Quality Among Hospitalized Postcraniotomy Brain Tumor Patients
    (Wolters Kluwer, 2021) Foust Winton, Rebecca E.; Draucker, Claire B.; Von Ah, Diane; School of Nursing
    Purpose/aims: The aim of this study was to describe how persons given a diagnosis of a brain tumor who have had a craniotomy describe the quality of their pain after surgery. Design: A qualitative descriptive design was used. Methods: Qualitative descriptive methods as described by Sandelowski guided this study. Semistructured interviews were conducted with patients hospitalized on a neurological step-down unit in an urban teaching hospital in the Midwestern United States. Interviews focused on the quality of participants' pain after surgery. Narratives were analyzed using standard content analysis. Results: Twenty-seven participants were interviewed. Most were White and female. Most underwent a craniotomy using an anterior approach with sedation. Participants described the quality of their pain with 6 different types of descriptors: pain as pressure, pain as tender or sore, pain as stabbing, pain as throbbing, pain as jarring, and pain as itching. Conclusions: Participants' descriptions of their pain quality after surgery provide a different understanding than do numerical pain ratings. Clinicians should use questions to explore patients' individual pain experiences, seeking to understand the quality of patients' pain and their perceptions.
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    Social Determinants of Health Associated with Inpatient Admissions for Congestive Heart Failure, Diabetes, Chronic Obstructive Pulmonary Disease, and Asthma
    (2023-07) Deckbar, John Quentin; DeMichael, Kelly; Gad, Wael; Guerrero, Jonathan; Muvuka, Baraka
    Introduction: The CDC and American Lung Association estimate that congestive heart failure (CHF), diabetes, chronic obstructive pulmonary disorder (COPD), and asthma (COPD/asthma) cost Americans $30.7 billion, $327 billion, and $50 billion respectively each year. They account for most inpatient readmissions at St. Mary Medical Center (SMMC), an urban hospital in Northwest Indiana. There is need for further research on the social, behavioral, and demographic determinants associated with these conditions. This study examined the social, behavioral, and demographic determinants associated with inpatient admission for CHF, diabetes, COPD/asthma in SMMC’s service area.  Methods: This retrospective study was part of a multi-phased Community-Based Participatory Research partnership between SMMC and Indiana University School of Medicine Northwest. SMMC implemented a pilot screening and referral program to assess social determinants of health in their service area as part of their Hospital Readmission Reduction Program. This study included data from 10,953 inpatient admissions between January 2021 to March 2023, majority of whom were transferred from the emergency department. Data analysis consisted of univariate, bivariate (Chi-square), and multivariate (binary logistic regression) analysis in SPSS 29.0. Results: Bivariate analysis revealed a statistically significant association between CHF and smoking, age, insurance type, and income. Diabetes was significantly associated with smoking, smokeless tobacco use, age group, race, income, and sex. COPD/asthma was significantly associated with smoking, age group, transportation needs, stress, insurance, ethnicity, and sex. Multivariate analysis found the following significant associations: age group with both CHF (p<0.001) and diabetes (p<0.001), former smoking with both CHF (p = 0.007) and COPD/asthma (p = 0.049), current smoking with COPD/asthma (p = 0.016), and sex with diabetes (p <0.001).   Conclusions: These findings indicate significant associations between multiple socio-behavioral factors and admission for CHF, diabetes, COPD/asthma. Multi-risk-factor interventions may address these interactions and contribute to reducing readmission.