An Exploratory Cost-Effectiveness Analysis of the Connected Health Intervention to Improve Care for People with Dementia: A Simulation Analysis

Dowd, William N.; Cowell, Alexander J.; Regan, Daniel; Moran, Katelin; Slevin, Patrick; Doyle, Gerardine; Bray, Jeremy

doi:10.1007/s10742-017-0175-y

Cited by 10 publications

(12 citation statements)

References 24 publications

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“…Two studies (2/67) evaluated a hypothetical disease modification treatment for people with mild cognitive impairment and pre-dementia (Budd et al , 2011; Skoldunger et al , 2013), and three other studies evaluated non-pharmacological interventions: a family-based program for mild AD (Martikainen et al , 2004), deep brain stimulation for mild AD (Mirsaeedi-Farahani et al , 2015), and a connected health care program for mild dementia (Dowd et al , 2018).…”

Section: Resultsmentioning

confidence: 99%

“…A dementia-specific quality of life weight (e.g. DEMQOL developed in Rowen et al , 2012) was used in one study (Dowd et al , 2018) and the quality of life instrument for people with Alzheimer's disease (QoL-AD) was used in a small number of studies, in which the quality of life scores were mapped into a utility scale (e.g. Gagnon et al , 2007; Rive et al , 2010).…”

Section: Resultsmentioning

confidence: 99%

“…This current literature indicates that it is a reasonable approach: a half of non-pharmacological studies sourced their models from pharmacological evaluations. For instance, a prevention strategy that reduced the dementia incidence rate (Zhang et al , 2011) or a more precise diagnosis method that led to a higher number of patients correctly diagnosed at early stage (Biasutti et al , 2012; Djalalov et al , 2012; Getsios et al , 2012; Yu et al , 2015) or a care program (for the dementia dyads) impacting on the disease progression (Martikainen et al , 2004; Dowd et al , 2018) can all share a disease progression model where subsequent costs and QALYs are accumulated and compared. This approach can potentially allow for the comparison of all interventions along the continuum of dementia care from prevention to active disease management.…”

Section: Discussionmentioning

confidence: 99%

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Where are we at with model-based economic evaluations of interventions for dementia? a systematic review and quality assessment

Nguyen

Comans

Green

2018

Int. Psychogeriatr.

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Objective:To identify, review, and critically appraise model-based economic evaluations of all types of interventions for people with dementia and their carers.Design:A systematic literature search was undertaken to identify model-based evaluations of dementia interventions. A critical appraisal of included studies was carried out using guidance on good practice methods for decision-analytic models in health technology assessment, with a focus on model structure, data, and model consistency.Setting:Interventions for people with dementia and their carers, across prevention, diagnostic, treatment, and disease management.Results:We identified 67 studies, with 43 evaluating pharmacological products, 19 covering prevention or diagnostic strategies, and 5 studies reporting non-pharmacological interventions. The majority of studies use Markov models with a simple structure to represent dementia symptoms and disease progression. Half of all studies reported taking a societal perspective, with the other half adopting a third-party payer perspective. Most studies follow good practices in modeling, particularly related to the decision problem description, perspective, model structure, and data inputs. Many studies perform poorly in areas related to the reporting of pre-modeling analyses, justifying data inputs, evaluating data quality, considering alternative modeling options, validating models, and assessing uncertainty.Conclusions:There is a growing literature on the model-based evaluations of interventions for dementia. The literature predominantly reports on pharmaceutical interventions for Alzheimer's disease, but there is a growing literature for dementia prevention and non-pharmacological interventions. Our findings demonstrate that decision-makers need to critically appraise and understand the model-based evaluations and their limitations to ensure they are used, interpreted, and applied appropriately.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Where are we at with model-based economic evaluations of interventions for dementia? a systematic review and quality assessment

Nguyen

Comans

Green

2018

Int. Psychogeriatr.

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“…Teknologioiden yhdistämien (Connected Health) terveydenhuollon alueella tukee datan yhdistämistä ja jakamista potilaiden, heidän omaistensa ja terveydenhuollon ammattilaisten välillä niin, että yhdistetyillä tiedonsiirto ja kommunikaatio sekä tekoäly teknologioilla pystytään tukemaan nopeampaa ja tehokkaampaa päätöksentekoa potilaan terveyteen liittyen [15]. Yhdistetty terveys tukee tiedon yhdistämistä eri lähteistä ja prosesseista koko terveydenhuollon järjestelmään esimerkiksi potilaiden kotoa tukikeskuksiin ja tai sairaalaan [16,17].…”

Section: Johdantounclassified

Tulevaisuuden yhdistetyt terveysteknologia mahdollisuudet ensihoidon ei kiireellisten tehtävien hoitamisessa

et al. 2019

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1 Lääketieteellisen kuvantamisen, fysiikan ja tekniikan tutkimusyksikkö (MIPT), Oulun yliopisto, Oulu; 2 Tuotantotalouden tutkimusyksikkö (IEM), Oulun yliopisto, Oulu; 3 Teknologian tutkimuskeskus VTT Oy; 4 Medical Research Center Oulu (MRC Oulu), Oulu; 5 Ensihoidon-ja päivystyksen vastuualue, Pohjois-Pohjanmaan sairaanhoitopiiri, Oulu; 6 Anestesiologian tutkimusryhmä, MRC, Oulun yliopistollinen sairaala ja Oulun yliopisto, Oulu; 7 Päivystysalue, Keski-Suomen sairaanhoitopiiri Mia Hautala, Lääketieteellisen kuvantamisen, fysiikan ja tekniikan tutkimusyksikkö (MIPT), PL 5000, 90014 Oulun yliopisto, FINLAND. Sähköposti: mia.hautala@outlook.com TiivistelmäEnsihoitopalvelujen tarve kasvaa sosiaali-ja terveydenhuollon palvelurakenteessa tapahtuvien uudistusten sekä väestön ikääntymisen myötä. Uusimmat teknologia-ja analytiikkaratkaisut auttavat palveluiden uudelleen organisoimisessa ja hoitopolkujen kehittämisessä. Tässä tutkimuksessa tarkastellaan tulevaisuuden yhdistettyjen terveys teknologioiden mahdollisuuksia pohjautuen asiantuntija työpajoihin liittyen ei-kiireellisiin ensihoidon tehtäviin. Tapauksen nykytilanne ja tulevaisuuden hoitopolut kuvattiin ja analysoitiin yhdessä terveysalan asiantuntijoiden, teknologiatoimittajien, tutkijoiden ja potilasnäkökulman edustajien kanssa. Kuvattu potilastapaus keskittyi kotisairaanhoidon piirissä olevaan ikääntyneeseen henkilöön, joka kärsii toistuvista virtsatieinfektioista. Tutkimuksen tuloksena löydettiin mm., että potilas tapauksiin liittyviä hoitopolkuja voidaan parantaa tukemalla hätätilanteen tunnistamista, lisäämällä terveystietämystä ja kehittämällä ratkaisuja, jotka mahdollistavat ensi-ja lääkehoidon nopeamman aloituksen sekä tehokkaamman yhteistyön potilaan, kotisairaanhoidon, sairaalan ja ensihoidon välillä. Lisäksi havaittiin, että tulevaisuudessa etämittarit mahdollistavat kotimittaustulosten nopeamman hyödyntämisen ja uusien teknologiaratkaisujen myötä tietoa on paremmin saatavilla. AbstractThe need of emergency care services increases due to reformations in health and social services and the ageing of the population. Mobile technologies, virtual communication technologies, sensor solutions and data analytics help to organize services and to develop care paths. The described patient case in this study, concentrated on the ageing woman of home care who suffered from repeated urinary tract infections. The present situation of patient case and the future care path was described and analyzed together with the healthcare professionals, technology suppliers, researchers, and patients. Based on the collected material the care paths of patient cases can be improved by increasing health knowledge, by utilizing better the remote meters, home measurement results, connected health solutions and available information, and by enabling the quicker beginning of the required medical treat-OTHER ARTICLES 11.3.2019 FinJeHeW 2019;11(1-2) 140 ments. Additionally, it was found that the existing solutions and information can be better utilized by developing the consultation center ...

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“…The contemporary environment for healthcare presents a constant need for innovations that use (heterogeneous) data (Gulbrandsen et al, 2016;Pikkarainen et al, 2018). In order to achieve social health improvements (Conway & VanLare, 2010) and costsavings, (Meier, 2013), varying forms of data are increasingly needed in the creation and implementation of new Artificial Intelligence (AI)-based connected health innovations, for example, decision support solutions that create value for healthcare providers and patients (Down et al, 2018). The data can comprise anything from electronic health records to personal data that would have an impact on the healthcare quality, outcomes, or costs.…”

Section: Introductionmentioning

confidence: 99%

Data Access in Connected Health Innovation: Managerial Orchestration Challenges and Solutions

Kemppainen¹,

Pikkarainen²,

Hurmelinna‐Laukkanen³

et al. 2019

TIM Review

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An Exploratory Cost-Effectiveness Analysis of the Connected Health Intervention to Improve Care for People with Dementia: A Simulation Analysis

Cited by 10 publications

References 24 publications

Where are we at with model-based economic evaluations of interventions for dementia? a systematic review and quality assessment

Where are we at with model-based economic evaluations of interventions for dementia? a systematic review and quality assessment

Tulevaisuuden yhdistetyt terveysteknologia mahdollisuudet ensihoidon ei kiireellisten tehtävien hoitamisessa

Data Access in Connected Health Innovation: Managerial Orchestration Challenges and Solutions

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