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Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness

Over a period of four years Alere Connected Health’s (ACH) management and specialist telehealth nurses have designed, implemented and delivered a completely new and re-engineered model of community care for people with long-term conditions (LTC) that has resulted in the delivery of a full ‘end to en...

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Autor principal: Range, Peter Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Igitur, Utrecht Publishing & Archiving 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571196/
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author Range, Peter Edward
author_facet Range, Peter Edward
author_sort Range, Peter Edward
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description Over a period of four years Alere Connected Health’s (ACH) management and specialist telehealth nurses have designed, implemented and delivered a completely new and re-engineered model of community care for people with long-term conditions (LTC) that has resulted in the delivery of a full ‘end to end’ clinical telehealth managed service monitoring over the period for over 1000 patients from two NHS Trusts in Northern Ireland. ACH were commissioned to develop programmes to deliver chronic disease monitoring and from the outset it was clear that the Department of Health was looking for a ‘service delivery’ partner rather than a ‘kit provider’. This regional telehealth programme in partnership with Belfast Health and Social Care Trust and South Eastern Health and Social Care Trust managed patients with one or more long-term conditions, their main chronic conditions being COPD, CHF and Diabetes. This new model of care has now been commissioned by the NHS in Northern Ireland as a National telehealth monitoring service awarding a 6-year contract for the monitoring of several thousand people with a LTC. The ACH telehealth service is ‘technology agnostic’ and can be used with point of care devices from any manufacturer, making it easier for commissioners and users that are already familiar with a particular telehealth product or manufacturer. During the four-year programme the ACH team developed an innovative web based activity database and telehealth management system software (TMS) in order to gather additional data from and about the patients care in order to determine more accurate programme evaluation data. The data gathered involved clinical, technical and statistical information in order to determine patient utilisation, return on investment (ROI) information and programme outcomes not usually derived from most commercial telehealth ‘back-end’ web server solutions. (In the process the ACH nursing team won two National Awards for ‘Innovation and Partnering’ with the NHS.) A number of significant outcomes and goals have been achieved during the past four years about service delivery and clear evidence suggests that telehealth home patient monitoring can be used as a method of reducing hospital admissions, it appears to promote patients to become better self managers of their long term condition and ultimately enjoy a better quality of life, whilst delivering cost efficiencies to the health care provider. This resulted in fewer unnecessary appointments with their GP. 60% saving of COPD patient unplanned hospital admissions; 33% saving of CHF patient unplanned hospital admissions; 32% of patients escalated during ‘out of hours’. After a period of three years telehealth monitoring of (n=766 COPD patients) equalling some 3% of the Northern Ireland COPD population, the unplanned hospital admission rate for COPD patients reduced from 42% to 9%.
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spelling pubmed-35711962013-04-16 Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness Range, Peter Edward Int J Integr Care Conference Abstract Over a period of four years Alere Connected Health’s (ACH) management and specialist telehealth nurses have designed, implemented and delivered a completely new and re-engineered model of community care for people with long-term conditions (LTC) that has resulted in the delivery of a full ‘end to end’ clinical telehealth managed service monitoring over the period for over 1000 patients from two NHS Trusts in Northern Ireland. ACH were commissioned to develop programmes to deliver chronic disease monitoring and from the outset it was clear that the Department of Health was looking for a ‘service delivery’ partner rather than a ‘kit provider’. This regional telehealth programme in partnership with Belfast Health and Social Care Trust and South Eastern Health and Social Care Trust managed patients with one or more long-term conditions, their main chronic conditions being COPD, CHF and Diabetes. This new model of care has now been commissioned by the NHS in Northern Ireland as a National telehealth monitoring service awarding a 6-year contract for the monitoring of several thousand people with a LTC. The ACH telehealth service is ‘technology agnostic’ and can be used with point of care devices from any manufacturer, making it easier for commissioners and users that are already familiar with a particular telehealth product or manufacturer. During the four-year programme the ACH team developed an innovative web based activity database and telehealth management system software (TMS) in order to gather additional data from and about the patients care in order to determine more accurate programme evaluation data. The data gathered involved clinical, technical and statistical information in order to determine patient utilisation, return on investment (ROI) information and programme outcomes not usually derived from most commercial telehealth ‘back-end’ web server solutions. (In the process the ACH nursing team won two National Awards for ‘Innovation and Partnering’ with the NHS.) A number of significant outcomes and goals have been achieved during the past four years about service delivery and clear evidence suggests that telehealth home patient monitoring can be used as a method of reducing hospital admissions, it appears to promote patients to become better self managers of their long term condition and ultimately enjoy a better quality of life, whilst delivering cost efficiencies to the health care provider. This resulted in fewer unnecessary appointments with their GP. 60% saving of COPD patient unplanned hospital admissions; 33% saving of CHF patient unplanned hospital admissions; 32% of patients escalated during ‘out of hours’. After a period of three years telehealth monitoring of (n=766 COPD patients) equalling some 3% of the Northern Ireland COPD population, the unplanned hospital admission rate for COPD patients reduced from 42% to 9%. Igitur, Utrecht Publishing & Archiving 2012-06-15 /pmc/articles/PMC3571196/ Text en Copyright 2012, International Journal of Integrated Care (IJIC) http://creativecommons.org/licenses/by/3.0/ This work is licensed under a (http://creativecommons.org/licenses/by/3.0) Creative Commons Attribution 3.0 Unported License
spellingShingle Conference Abstract
Range, Peter Edward
Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness
title Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness
title_full Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness
title_fullStr Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness
title_full_unstemmed Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness
title_short Outcome data for the remote patient monitoring over three years of over 1000 patients in Northern Ireland with a long-term chronic illness
title_sort outcome data for the remote patient monitoring over three years of over 1000 patients in northern ireland with a long-term chronic illness
topic Conference Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571196/
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