Symptom Prevalence and Physiologic Biomarkers Among Adolescents Using a Mobile Phone Intervention Following Hematopoietic Stem Cell Transplantation

Abstract

Purpose To examine symptom reports and physiological parameters in adolescents using the Eating After Transplant (EAT!) intervention during hematopoietic stem cell transplant (HSCT) recovery. Design Repeated measures design. Setting HSCT service at a pediatric teaching institution in the southern United States. Sample 16 adolescents recovering from a first time allogeneic HSCT. Methods Use of EAT! was monitored electronically, symptom reports were obtained from a questionnaire, and physiologic parameters were obtained from the medical record at HSCT hospital discharge then 20, 40, and 60 days post discharge. Research Variables EAT! use, symptom prevalence, symptom related distress, and physiologic parameters including weight, body mass index (BMI), prealbumin, and albumin Findings Symptom prevalence was highest at hospital discharge and steadily declined; however, mean symptom distress scores remained stable. Mean weight and BMI significantly declined during the first 60 days post hospital discharge; prealbumin and albumin markers were unchanged. There was no correlation among use of EAT! and any research variables. Conclusions The most frequent symptoms were not always the most distressing symptoms. Weight and BMI significantly declined during HSCT recovery. Implications for Nursing Nurses should assess symptom frequency and distress to fully understand patients’ symptom experiences. Nurses should monitor weight and BMI throughout HSCT recovery. Knowledge Translation Adolescents experience multiple symptoms throughout HSCT recovery that vary in frequency and distress. Weight and BMI can decline during HSCT recovery and should be monitored closely. Use of a mobile phone application for HSCT symptom management should be investigated further with a variety of outcome measures.

Taking on enduring distress: Building a concept to lead a program of research

“…Synthesis of the literature revealed SMT as a theoretical foundation used to identify the symptom experience in pediatric chronic illness (Table 1). Recurrent descriptors representing the symptom experience and living with everyday challenges included headache, nausea, vomiting, decreased appetite, pain, fatigue, consequences of treatment, and sleep disturbance in pediatric chronic illness 17‐19 …”

Acupressure to Reduce Treatment-Related Symptoms for Children With Cancer and Recipients of Hematopoietic Stem Cell Transplant: Protocol for a Randomized Controlled Trial

“…9,10 Symptom distress is an important predictor of poor health-related quality of life among children treated for cancer 11 or receiving HSCT. 6,12 Severe symptoms can result in interruptions in planned treatment, dose reductions, or other therapy changes with the potential to compromise survival. 13,14 A systematic review documented frequent undertreated symptoms during oncology and HSCT treatment.…”

Métodos Para Desenvolvimento De Aplicativos Móveis Em Saúde: Revisão Integrativa Da Literatura

“…[22][23][24][25][26][27][28][30][31][33][34][36][37][38][39][40][41] Developed by Walter Dick and Lou M. Carey [42][43] in 1978, this model considers the stages of analysis, design/development, implementation and evaluation.…”

“…[42][43]54 This method can be used for a variety of instructional systems -in the present study, the mobile apps. [22][23][26][27][28]34,[38][39] It is also highlighted that the Dick and Carey model is based in various perspectives found in the teaching-learning process, namely: Behaviorism (definition of the components of the instructional strategy); Cognitive Theory (formulation of the presentation of the material/ instructional content, and processing of the information); and Constructivism (analysis of contexts in order to assist the users in the construction of conceptual structures for learning).…”

“…In relation to the area of specialty of the mobile apps developed and/or evaluated, the following distribution was evidenced: oncology (hospitalbased, home-based and auditing), [21][22] 19% (4); respiratory diseases (asthma/adolescent and home care), [25][26][27] 14.3% (3); Primary Health Care (health promotion, chronic diseases and cardiovascular diseases), [28][29][30] 14.3% (3); geriatrics, 31-32 9.5% (2); pediatrics (palliative care and care for the newborn) 33,34 9.5% (2); critical-care (adult and neonatal), [35][36] 9.5% (2); kidney disease (hemodialysis), 37 4.8% (1); metabolic disease (obesity), 38 4.8% (1); mental health (depression) 39 4.8% (1); post-operative recovery 40 4.8% (1) and; nutrition (parenteral) 41 4.8% (1).…”