Deb Motz
Baptist Health System
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Deb Motz.
Journal of Clinical Nursing | 2015
Carole L. White; Tracy L. Brady; Laura L. Saucedo; Deb Motz; Johanna Sharp; Lee Birnbaum
AIMS AND OBJECTIVES To describe the experience of readmission from the perspective of the stroke survivor and family caregiver. BACKGROUND Older stroke survivors are at an increased risk for readmission with approximately 40% being readmitted in the first year after stroke. Patients and their families are best positioned to provide information about factors associated with readmission, yet their perspectives have rarely been elicited. DESIGN Descriptive qualitative study. METHODS This study included older stroke survivors who were readmitted to acute care from home in the six months following stroke, and their family caregivers. Participants were interviewed by telephone at approximately two weeks after discharge and a sub-set was also interviewed in person during the readmission. Interviews were audio-taped and content analysis was used to identify themes. RESULTS From the 29 semi-structured interviews conducted with 20 stroke survivors and/or their caregivers, the following themes were identified: preparing to go home after the stroke, what to expect at home, complexity of medication management, support for self-care in the community and the influence of social factors. CONCLUSIONS This study provides the critical perspective of the stroke survivor and family caregiver into furthering our understanding of readmissions after stroke. Participants identified several areas for intervention including better discharge preparation and the need for support in the community for medication management and self-care. The findings suggest that interventions designed to reduce readmissions after stroke should be multifaceted in approach and extend across the continuum of care. RELEVANCE TO CLINICAL PRACTICE The hospital level has been the focus of interventions to reduce preventable readmissions, but the results of this study suggest the importance of community-level care. The individual nature of each situation must be taken into account, including the postdischarge environment and the availability of social support.
Journal of Stroke & Cerebrovascular Diseases | 2016
Lee Birnbaum; Jesse S. Rodriguez; Christopher Topel; Réza Behrouz; Vivek Misra; Santiago Palacio; Michele Patterson; Deb Motz; Martin Goros; John E. Cornell; Jean-Louis Caron
INTRODUCTION The timely administration of intravenous (IV) tissue plasminogen activator (t-PA) to acute ischemic stroke patients from the period of symptom presentation to treatment, door-to-needle (DTN) time, is an important focus for quality improvement and best clinical practice. METHODS A retrospective review of our Get With The Guidelines database was performed for a 5-hospital telestroke network for the period between January 2010 and January 2015. All acute ischemic stroke patients who were triaged in the emergency departments connected to the telestroke network and received IV t-PA were included. Optimal DTN time was defined as less than 60 minutes. Logistic regression was performed with clinical variables associated with DTN time. Age and National Institutes of Health Stroke Scale (NIHSS) score were categorized based on clinically significant cutoffs. RESULTS Six-hundred and fifty-two patients (51% women, 46% White, 45% Hispanic, and 8% Black) were included in this study. The mean age was 70 years (range 29-98). Of the variables analyzed, only arrival mode, initial NIHSS score, and the interaction between age and initial NIHSS score were significant. DTN time more than or equal to 60 minutes was most common in patients aged more than 80 years with NIHSS score higher than 10. CONCLUSIONS The cause of DTN time delay for older patients with higher NIHSS score is unclear but was not related to presenting blood pressure or arrival mode. Further study of this subgroup is important to reduce overall DTN times.
Disability and Rehabilitation | 2018
Carole L. White; Adelita G. Cantu; Deb Motz; Michele Patterson; Jean-Louis Caron; Lee Birnbaum
Abstract Purpose: To describe control of risk factors after stroke from the perspectives of the stroke survivor, the family, and healthcare professionals. Materials and methods: A mixed methods design was used, undertaken in two phases: i) qualitative study using focus group methodology to explore secondary stroke prevention and ii) survey of stroke survivors about use of technology and self-management of blood pressure (BP). Results: From the eight focus groups (n = 33), three themes were identified: i) stroke is a wake-up call to do the right things; ii) challenges to doing the right things; and iii) role of technology in helping you to do the right things. Among survey respondents (n = 82), most participants reported mobile phone ownership (93%), mostly smartphones (66%), and >80% identified a greater role for technology in supporting management of risk factors. Participants who reported monitoring BP at home were significantly more likely to know their target BP than those not monitoring at home (83 vs. 42%; p < 0.001) and more adherent with medications (78 vs. 52%; p = 0.016). Conclusions: These findings highlight the ongoing challenges with achieving risk factor control after stroke and the potential to utilise health information technology to engage stroke survivors in self-management of their risk factors. Implications for rehabilitation Clinicians should be knowledgeable of the challenges that stroke survivors face in managing their risk factors after stroke and the role that they can play in providing tailored education. BP continues to be poorly controlled after stroke and there is opportunity for improvement. Stroke survivors and their families are receptive to using health information technology to support their risk factor control. Rehabilitation clinicians have an opportunity to incorporate different aspects of health information technology into their practice to support self-management of risk factors.
Stroke | 2017
Deb Motz; Michele Patterson; Tracy Moore; Diana Barrett; Martha Buford; Cheryl Baker; Adam Blanchette; Kassandra Hunt; Sonja Widemon; Eric Epley; Preston Love; Lee Birnbaum; David Miramontes; David A. Wampler; Candace Mcalpine; Cheryl Prentiss; Dicky Huey
Stroke | 2016
Carole L. White; Byron Ihegword; Michele Patterson; Deb Motz; Richard Williamson; Jean-Louis Caron; Lee Birnbaum
Stroke | 2016
Carole L. White; Michele Patterson; Deb Motz; Richard Williamson; Jean-Louis Caron; Lee Birnbaum
Stroke | 2016
Michele Patterson; Joseph Berumen; Susan Loyola; Deb Motz; Ashley Page; Tracy Moore; Beth Cline; Dicky Huey; Tommye Austin
Stroke | 2016
Deb Motz; Tracy Moore; Dicky Huey; Tommye Austin
Stroke | 2016
Ashley Page; Deb Motz; Sara Hansen; Beth Cline; Michele Patterson; Tracy Moore; Dicky Huey; Tommye Austin
Stroke | 2015
Deb Motz; Johanna Sharp; Tracy Moore; Dicky Huey; Tommye Austin
Collaboration
Dive into the Deb Motz's collaboration.
University of Texas Health Science Center at San Antonio
View shared research outputs