Doctor of Philosophy

dissertationFollowing liver transplantation, patients require lifelong immunosuppressive care and monitoring to prevent organ rejection, drug toxicity, and death. Traditionally, transplant centers use paper-based processes that are not scalable and can lead to inefficiencies and deficiencies in information management. Clinical decision support (CDS) tools may help to overcome information management challenges, and a system-agnostic approach may help to disseminate these tools nationwide. We sought to inform the development of new transplant information systems by analyzing existing information systems. To meet this overall objective, we administered a survey and found that all liver transplant programs used manual, paper-based processes and nearly all used electronic health record (EHR) systems. Programs also had immunosuppression guidelines with similar logic patterns. Then we analyzed long-term use of a computerized notification system at one transplant center and found that a system designed specifically for the posttransplant workflow can meet long-term information management needs. Next, we assessed the clinical outcomes associated with computerized notifications for laboratory monitoring of immunosuppressive care and found that a system designed specifically for the posttransplant workflow was associated with improved clinical outcomes. Following this, we described workflow processes at two transplant centers and found that a transplant-specific notification system was associated with changes in workflow process iv measures and the satisfaction of performing laboratory monitoring tasks compared to a general EHR notification system. Finally, we administered a questionnaire to coordinators using a transplant-specific notification system and identified the usage of specific data elements in computerized notifications for posttransplant laboratory monitoring. Our findings show that near universal use of EHRs provides an infrastructure for implementing CDS tools, and logic patterns for posttransplant laboratory monitoring can be generalized to other U.S. transplant centers. Transplant-specific computerized notifications may be part of a system of processes that improve the scalability, quality, and satisfaction of patient management by postliver transplant coordinators. However, these systems must be flexible enough to accommodate new immunosuppressants and changing or additional parameters used in computerized logic as clinical practice or needs of the patient population evolve. Proactive notifications sent directly to patients regarding upcoming due dates via patient portals may also improve patient outcomes

eHealth interventions for people with chronic kidney disease

Background Chronic kidney disease (CKD) is associated with high morbidity and death, which increases as CKD progresses to end‐stage kidney disease (ESKD). There has been increasing interest in developing innovative, effective and cost‐efficient methods to engage with patient populations and improve health behaviours and outcomes. Worldwide there has been a tremendous increase in the use of technologies, with increasing interest in using eHealth interventions to improve patient access to relevant health information, enhance the quality of healthcare and encourage the adoption of healthy behaviours. Objectives This review aims to evaluate the benefits and harms of using eHealth interventions to change health behaviours in people with CKD. Search methods We searched the Cochrane Kidney and Transplant Register of Studies up to 14 January 2019 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Register (ICTRP) Search Portal and ClinicalTrials.gov. Selection criteria Randomised controlled trials (RCTs) and quasi‐RCTs using an eHealth intervention to promote behaviour change in people with CKD were included. There were no restrictions on outcomes, language or publication type. Data collection and analysis Two authors independently assessed trial eligibility, extracted data and assessed the risk of bias. The certainty of the evidence was assessed using GRADE. Main results We included 43 studies with 6617 participants that evaluated the impact of an eHealth intervention in people with CKD. Included studies were heterogeneous in terms of eHealth modalities employed, type of intervention, CKD population studied and outcomes assessed. The majority of studies (39 studies) were conducted in an adult population, with 16 studies (37%) conducted in those on dialysis, 11 studies (26%) in the pre‐dialysis population, 15 studies (35%) in transplant recipients and 1 studies (2%) in transplant candidates We identified six different eHealth modalities including: Telehealth; mobile or tablet application; text or email messages; electronic monitors; internet/websites; and video or DVD. Three studies used a combination of eHealth interventions. Interventions were categorised into six types: educational; reminder systems; self‐monitoring; behavioural counselling; clinical decision‐aid; and mixed intervention types. We identified 98 outcomes, which were categorised into nine domains: blood pressure (9 studies); biochemical parameters (6 studies); clinical end‐points (16 studies); dietary intake (3 studies); quality of life (9 studies); medication adherence (10 studies); behaviour (7 studies); physical activity (1 study); and cost‐effectiveness (7 studies). Only three outcomes could be meta‐analysed as there was substantial heterogeneity with respect to study population and eHealth modalities utilised. There was found to be a reduction in interdialytic weight gain of 0.13kg (4 studies, 335 participants: MD ‐0.13, 95% CI ‐0.28 to 0.01; I2 = 0%) and a reduction in dietary sodium intake of 197 mg/day (2 studies, 181 participants: MD ‐197, 95% CI ‐540.7 to 146.8; I2 = 0%). Both dietary sodium and fluid management outcomes were graded as being of low evidence due to high or unclear risk of bias and indirectness (interdialytic weight gain) and high or unclear risk of bias and imprecision (dietary sodium intake). Three studies reported death (2799 participants, 146 events), with 45 deaths/1000 cases compared to standard care of 61 deaths/1000 cases (RR 0.74, CI 0.53 to 1.03; P = 0.08). We are uncertain whether using eHealth interventions, in addition to usual care, impact on the number of deaths as the certainty of this evidence was graded as low due to high or unclear risk of bias, indirectness and imprecision. Authors' conclusions eHealth interventions may improve the management of dietary sodium intake and fluid management. However, overall these data suggest that current evidence for the use of eHealth interventions in the CKD population is of low quality, with uncertain effects due to methodological limitations and heterogeneity of eHealth modalities and intervention types. Our review has highlighted the need for robust, high quality research that reports a core (minimum) data set to enable meaningful evaluation of the literature

Ehealth interventions for people with chronic kidney disease

Background Chronic kidney disease (CKD) is associated with high morbidity and death, which increases as CKD progresses to end-stage kidney disease (ESKD). There has been increasing interest in developing innovative, effective and cost-efficient methods to engage with patient populations and improve health behaviours and outcomes. Worldwide there has been a tremendous increase in the use of technologies, with increasing interest in using eHealth interventions to improve patient access to relevant health information, enhance the quality of healthcare and encourage the adoption of healthy behaviours. Objectives This review aims to evaluate the benefits and harms of using eHealth interventions to change health behaviours in people with CKD. Search methods We searched the Cochrane Kidney and Transplant Register of Studies up to 14 January 2019 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Register (ICTRP) Search Portal and ClinicalTrials.gov. Selection criteria Randomised controlled trials (RCTs) and quasi-RCTs using an eHealth intervention to promote behaviour change in people with CKD were included. There were no restrictions on outcomes, language or publication type. Data collection and analysis Two authors independently assessed trial eligibility, extracted data and assessed the risk of bias. The certainty of the evidence was assessed using GRADE. Main results We included 43 studies with 6617 participants that evaluated the impact of an eHealth intervention in people with CKD. Included studies were heterogeneous in terms of eHealth modalities employed, type of intervention, CKD population studied and outcomes assessed. The majority of studies (39 studies) were conducted in an adult population, with 16 studies (37%) conducted in those on dialysis, 11 studies (26%) in the pre-dialysis population, 15 studies (35%) in transplant recipients and 1 studies (2%) in transplant candidates We identified six different eHealth modalities including: Telehealth; mobile or tablet application; text or email messages; electronic monitors; internet/websites; and video or DVD. Three studies used a combination of eHealth interventions. Interventions were categorised into six types: educational; reminder systems; self-monitoring; behavioural counselling; clinical decision-aid; and mixed intervention types. We identified 98 outcomes, which were categorised into nine domains: blood pressure (9 studies); biochemical parameters (6 studies); clinical end-points (16 studies); dietary intake (3 studies); quality of life (9 studies); medication adherence (10 studies); behaviour (7 studies); physical activity (1 study); and cost-effectiveness (7 studies). Only three outcomes could be meta-analysed as there was substantial heterogeneity with respect to study population and eHealth modalities utilised. There was found to be a reduction in interdialytic weight gain of 0.13kg (4 studies, 335 participants: MD-0.13, 95% CI-0.28 to 0.01; I = 0%) and a reduction in dietary sodium intake of 197 mg/day (2 studies, 181 participants: MD-197, 95% CI-540.7 to 146.8; I = 0%). Both dietary sodium and fluid management outcomes were graded as being of low evidence due to high or unclear risk of bias and indirectness (interdialytic weight gain) and high or unclear risk of bias and imprecision (dietary sodium intake). Three studies reported death (2799 participants, 146 events), with 45 deaths/1000 cases compared to standard care of 61 deaths/1000 cases (RR 0.74, CI 0.53 to 1.03; P = 0.08). We are uncertain whether using eHealth interventions, in addition to usual care, impact on the number of deaths as the certainty of this evidence was graded as low due to high or unclear risk of bias, indirectness and imprecision. Authors’ conclusions eHealth interventions may improve the management of dietary sodium intake and fluid management. However, overall these data suggest that current evidence for the use of eHealth interventions in the CKD population is of low quality, with uncertain effects due to methodological limitations and heterogeneity of eHealth modalities and intervention types. Our review has highlighted the need for robust, high quality research that reports a core (minimum) data set to enable meaningful evaluation of the literature

LABRAD : Vol 46, Issue 1 - March 2020

Role of Immunofluorescence Studies in the Diagnosis of Autoimmune Disorders Cystathionine Beta-Synthase Deficiency Treatment of Factor VIII Inhibitor Effective Internal Communication in Laboratories Digital Breast Tomosynthesis Overview of Common Myeloproliferative Neoplasms Clinical Significance of free Androgen Index (FAI) Radiology Quiz The Best of the Past Section Of Histopathology: Newer Horizons A Webinar Series ‘Rare Links’ A Look into the Eye can Unleash Vital Diagnostic Pearls for 32 Rare Disorders Lab & Rad Mesh up for the Early Recognition of Rare Disorders Polaroidhttps://ecommons.aku.edu/labrad/1033/thumbnail.jp