Literature DB >> 9397133

Determination of reliability and validity in home monitoring data of pulmonary function tests following lung transplantation.

B R Lindgren1, S M Finkelstein, B Prasad, P Dutta, T Killoren, J Scherber, C L Stibbe, M Snyder, M I Hertz.   

Abstract

Electronic spirometry units were used to monitor lung transplantation recipients upon their return home. The data from 77 participants were used to develop methods to verify that the pulmonary function measurements, forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1), were reliable and valid. The standard deviation was calculated for the best daily effort on consecutive days of home spirometry. An acceptable upper limit for the standard deviation, as the measure of day-to-day reliability, was 0.20 for FVC and 0.15 for FEV1. Validity was determined by examining the mean difference (bias) between the spirometry done in the pulmonary function laboratory and the home monitoring results. The clinic values were slightly higher, with an average difference of 0.15 for FVC and 0.12 for FEV1. Therefore, the home spirometry measurements have a high degree of reliability and validity and can now be used for early detection of serious complications.

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Year:  1997        PMID: 9397133     DOI: 10.1002/(sici)1098-240x(199712)20:6<539::aid-nur8>3.0.co;2-n

Source DB:  PubMed          Journal:  Res Nurs Health        ISSN: 0160-6891            Impact factor:   2.228


  12 in total

1.  Distance technologies for patient monitoring. Interview by Abi Berger.

Authors:  E A Balas; I Iakovidis
Journal:  BMJ       Date:  1999-11-13

2.  Electronic feedback messages for home spirometry lung transplant recipients.

Authors:  Sarah J Pangarakis; Kathleen Harrington; Ruth Lindquist; Cynthia Peden-McAlpine; Stanley Finkelstein
Journal:  Heart Lung       Date:  2008 Jul-Aug       Impact factor: 2.210

3.  Design and evaluation of a web-based interactive visualization system for lung transplant home monitoring data.

Authors:  David S Pieczkiewicz; Stanley M Finkelstein; Marshall I Hertz
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

4.  Statistical Process Control Improves The Feasibility Of Remote Physiological Monitoring In Patients With Chronic Obstructive Pulmonary Disease.

Authors:  Christopher B Cooper; Worawan Sirichana; Eric V Neufeld; Michael Taylor; Xiaoyan Wang; Brett A Dolezal
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2019-11-13

Review 5.  Systematic review of home telemonitoring for chronic diseases: the evidence base.

Authors:  Guy Paré; Mirou Jaana; Claude Sicotte
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

6.  Correlation and Agreement of Handheld Spirometry with Laboratory Spirometry in Allogeneic Hematopoietic Cell Transplant Recipients.

Authors:  Guang-Shing Cheng; Angela P Campbell; Hu Xie; Zach Stednick; Cheryl Callais; Wendy M Leisenring; Janet A Englund; Jason W Chien; Michael Boeckh
Journal:  Biol Blood Marrow Transplant       Date:  2015-12-31       Impact factor: 5.742

7.  Automatic event detection in lung transplant recipients based on home monitoring of spirometry and symptoms.

Authors:  Wayne Wang; Stanley M Finkelstein; Marshall I Hertz
Journal:  Telemed J E Health       Date:  2013-07-20       Impact factor: 3.536

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

Authors:  Stanley M Finkelstein; Bruce R Lindgren; William Robiner; Ruth Lindquist; Marshall Hertz; Bradley P Carlin; Arin VanWormer
Journal:  Telemed J E Health       Date:  2013-10-01       Impact factor: 3.536

9.  Using Home Spirometry for Follow up of Lung Transplant Recipients: "A Pilot Study".

Authors:  Lida Fadaizadeh; Katayoun Najafizadeh; Shadi Shafaghi; Mahsa Sadat Hosseini; Azadeh Ghoroghi
Journal:  Tanaffos       Date:  2013

10.  High-Resolution Time-Frequency Spectrum-Based Lung Function Test from a Smartphone Microphone.

Authors:  Tharoeun Thap; Heewon Chung; Changwon Jeong; Ki-Eun Hwang; Hak-Ryul Kim; Kwon-Ha Yoon; Jinseok Lee
Journal:  Sensors (Basel)       Date:  2016-08-17       Impact factor: 3.576

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