A randomized controlled trial comparing health and quality of life of lung transplant recipients following nurse and computer-based triage utilizing home spirometry monitoring

Stanley M Finkelstein, Bruce R Lindgren, William N Robiner, Ruth A Lindquist, Marshall I Hertz, Brad Carlin, Arin Vanwormer

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Background: Lung transplantation is now a standard intervention for patients with advanced lung disease. Home monitoring of pulmonary function and symptoms has been used to follow the progress of lung transplant recipients in an effort to improve care and clinical status. The study objective was to determine the relative performance of a computer-based Bayesian algorithm compared with a manual nurse decision process for triaging clinical intervention in lung transplant recipients participating in a home monitoring program. Materials and Methods: This randomized controlled trial had 65 lung transplant recipients assigned to either the Bayesian or nurse triage study arm. Subjects monitored and transmitted spirometry and respiratory symptoms daily to the data center using an electronic spirometer/diary device. Subjects completed the Short Form-36 (SF-36) survey at baseline and after 1 year. End points were change from baseline after 1 year in forced expiratory volume at 1 s (FEV1) and quality of life (SF-36 scales) within and between each study arm. Results: There were no statistically significant differences between groups in FEV 1 or SF-36 scales at baseline or after 1 year.: Results were comparable between nurse and Bayesian system for detecting changes in spirometry and symptoms, providing support for using computer-based triage support systems as remote monitoring triage programs become more widely available. Conclusions: The feasibility of monitoring critical patient data with a computer-based decision system is especially important given the likely economic constraints on the growth in the nurse workforce capable of providing these early detection triage services.

Original languageEnglish (US)
Pages (from-to)897-903
Number of pages7
JournalTelemedicine and e-Health
Volume19
Issue number12
DOIs
StatePublished - Dec 1 2013

Fingerprint

Triage
Spirometry
Randomized Controlled Trials
Nurses
Quality of Life
Lung
Health
Lung Transplantation
Forced Expiratory Volume
Physiologic Monitoring
Lung Diseases
Economics
Equipment and Supplies
Transplant Recipients
Growth

Keywords

  • home health monitoring
  • m-health
  • telehealth
  • telemedicine
  • transplantation

Cite this

A randomized controlled trial comparing health and quality of life of lung transplant recipients following nurse and computer-based triage utilizing home spirometry monitoring. / Finkelstein, Stanley M; Lindgren, Bruce R; Robiner, William N; Lindquist, Ruth A; Hertz, Marshall I; Carlin, Brad; Vanwormer, Arin.

In: Telemedicine and e-Health, Vol. 19, No. 12, 01.12.2013, p. 897-903.

Research output: Contribution to journalArticle

@article{81f11882345b41879e2ebf738a48da96,
title = "A randomized controlled trial comparing health and quality of life of lung transplant recipients following nurse and computer-based triage utilizing home spirometry monitoring",
abstract = "Background: Lung transplantation is now a standard intervention for patients with advanced lung disease. Home monitoring of pulmonary function and symptoms has been used to follow the progress of lung transplant recipients in an effort to improve care and clinical status. The study objective was to determine the relative performance of a computer-based Bayesian algorithm compared with a manual nurse decision process for triaging clinical intervention in lung transplant recipients participating in a home monitoring program. Materials and Methods: This randomized controlled trial had 65 lung transplant recipients assigned to either the Bayesian or nurse triage study arm. Subjects monitored and transmitted spirometry and respiratory symptoms daily to the data center using an electronic spirometer/diary device. Subjects completed the Short Form-36 (SF-36) survey at baseline and after 1 year. End points were change from baseline after 1 year in forced expiratory volume at 1 s (FEV1) and quality of life (SF-36 scales) within and between each study arm. Results: There were no statistically significant differences between groups in FEV 1 or SF-36 scales at baseline or after 1 year.: Results were comparable between nurse and Bayesian system for detecting changes in spirometry and symptoms, providing support for using computer-based triage support systems as remote monitoring triage programs become more widely available. Conclusions: The feasibility of monitoring critical patient data with a computer-based decision system is especially important given the likely economic constraints on the growth in the nurse workforce capable of providing these early detection triage services.",
keywords = "home health monitoring, m-health, telehealth, telemedicine, transplantation",
author = "Finkelstein, {Stanley M} and Lindgren, {Bruce R} and Robiner, {William N} and Lindquist, {Ruth A} and Hertz, {Marshall I} and Brad Carlin and Arin Vanwormer",
year = "2013",
month = "12",
day = "1",
doi = "10.1089/tmj.2013.0049",
language = "English (US)",
volume = "19",
pages = "897--903",
journal = "Telemedicine and e-Health",
issn = "1530-5627",
publisher = "Mary Ann Liebert Inc.",
number = "12",

}

TY - JOUR

T1 - A randomized controlled trial comparing health and quality of life of lung transplant recipients following nurse and computer-based triage utilizing home spirometry monitoring

AU - Finkelstein, Stanley M

AU - Lindgren, Bruce R

AU - Robiner, William N

AU - Lindquist, Ruth A

AU - Hertz, Marshall I

AU - Carlin, Brad

AU - Vanwormer, Arin

PY - 2013/12/1

Y1 - 2013/12/1

N2 - Background: Lung transplantation is now a standard intervention for patients with advanced lung disease. Home monitoring of pulmonary function and symptoms has been used to follow the progress of lung transplant recipients in an effort to improve care and clinical status. The study objective was to determine the relative performance of a computer-based Bayesian algorithm compared with a manual nurse decision process for triaging clinical intervention in lung transplant recipients participating in a home monitoring program. Materials and Methods: This randomized controlled trial had 65 lung transplant recipients assigned to either the Bayesian or nurse triage study arm. Subjects monitored and transmitted spirometry and respiratory symptoms daily to the data center using an electronic spirometer/diary device. Subjects completed the Short Form-36 (SF-36) survey at baseline and after 1 year. End points were change from baseline after 1 year in forced expiratory volume at 1 s (FEV1) and quality of life (SF-36 scales) within and between each study arm. Results: There were no statistically significant differences between groups in FEV 1 or SF-36 scales at baseline or after 1 year.: Results were comparable between nurse and Bayesian system for detecting changes in spirometry and symptoms, providing support for using computer-based triage support systems as remote monitoring triage programs become more widely available. Conclusions: The feasibility of monitoring critical patient data with a computer-based decision system is especially important given the likely economic constraints on the growth in the nurse workforce capable of providing these early detection triage services.

AB - Background: Lung transplantation is now a standard intervention for patients with advanced lung disease. Home monitoring of pulmonary function and symptoms has been used to follow the progress of lung transplant recipients in an effort to improve care and clinical status. The study objective was to determine the relative performance of a computer-based Bayesian algorithm compared with a manual nurse decision process for triaging clinical intervention in lung transplant recipients participating in a home monitoring program. Materials and Methods: This randomized controlled trial had 65 lung transplant recipients assigned to either the Bayesian or nurse triage study arm. Subjects monitored and transmitted spirometry and respiratory symptoms daily to the data center using an electronic spirometer/diary device. Subjects completed the Short Form-36 (SF-36) survey at baseline and after 1 year. End points were change from baseline after 1 year in forced expiratory volume at 1 s (FEV1) and quality of life (SF-36 scales) within and between each study arm. Results: There were no statistically significant differences between groups in FEV 1 or SF-36 scales at baseline or after 1 year.: Results were comparable between nurse and Bayesian system for detecting changes in spirometry and symptoms, providing support for using computer-based triage support systems as remote monitoring triage programs become more widely available. Conclusions: The feasibility of monitoring critical patient data with a computer-based decision system is especially important given the likely economic constraints on the growth in the nurse workforce capable of providing these early detection triage services.

KW - home health monitoring

KW - m-health

KW - telehealth

KW - telemedicine

KW - transplantation

UR - http://www.scopus.com/inward/record.url?scp=84889665568&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889665568&partnerID=8YFLogxK

U2 - 10.1089/tmj.2013.0049

DO - 10.1089/tmj.2013.0049

M3 - Article

C2 - 24083367

AN - SCOPUS:84889665568

VL - 19

SP - 897

EP - 903

JO - Telemedicine and e-Health

JF - Telemedicine and e-Health

SN - 1530-5627

IS - 12

ER -