Identifying the Value of an eHealth Intervention Aimed at Cognitive Impairments: Observational Study in Different Contexts and Service Models.

BACKGROUND: Value is one of the central concepts in health care, but it is vague within the field of summative eHealth evaluations. Moreover, the role of context in explaining the value is underexplored, and there is no explicit framework guiding the evaluation of the value of eHealth interventions. Hence, different studies conceptualize and operationalize value in different ways, ranging from measuring outcomes such as clinical efficacy or behavior change of patients or professionals to measuring the perceptions of various stakeholders or in economic terms. OBJECTIVE: The objective of our study is to identify contextual factors that determine similarities and differences in the value of an eHealth intervention between two contexts. We also aim to reflect on and contribute to the discussion about the specification, assessment, and relativity of the "value" concept in the evaluation of eHealth interventions. METHODS: The study concerned a 6-month eHealth intervention targeted at elderly patients (n=107) diagnosed with cognitive impairment in Italy and Sweden. The intervention introduced a case manager role and an eHealth platform to provide remote monitoring and coaching services to the patients. A model for evaluating the value of eHealth interventions was designed as monetary and nonmonetary benefits and sacrifices, based on the value conceptualizations in eHealth and marketing literature. The data was collected using the Mini-Mental State Examination (MMSE), the clock drawing test, and the 5-level EQ-5D (EQ-5D-5L). Semistructured interviews were conducted with patients and health care professionals. Monetary data was collected from the health care and technology providers. RESULTS: The value of an eHealth intervention applied to similar types of populations but differed in different contexts. In Sweden, patients improved cognitive performance (MMSE mean 0.85, SD 1.62, P<.001), reduced anxiety (EQ-5D-5L mean 0.16, SD 0.54, P=.046), perceived their health better (EQ-5D-5L VAS scale mean 2.6, SD 9.7, P=.035), and both patients and health care professionals were satisfied with the care. However, the Swedish service model demonstrated an increased cost, higher workload for health care professionals, and the intervention was not cost-efficient. In Italy, the patients were satisfied with the care received, and the health care professionals felt empowered and had an acceptable workload. Moreover, the intervention was cost-effective. However, clinical efficacy and quality of life improvements have not been observed. We identified 6 factors that influence the value of eHealth intervention in a particular context: (1) service delivery design of the intervention (process of delivery), (2) organizational setup of the intervention (ie, organizational structure and professionals involved), (3) cost of different treatments, (4) hourly rates of staff for delivering the intervention, (5) lifestyle habits of the population (eg, how physically active they were in their daily life and if they were living alone or with family), and (6) local preferences on the quality of patient care. CONCLUSIONS: Value in the assessments of eHealth interventions need to be considered beyond economic terms, perceptions, or behavior changes. To obtain a holistic view of the value created, it needs to be operationalized into monetary and nonmonetary outcomes, categorizing these into benefits and sacrifices.

Alzheimer's disease (AD) with and without white matter pathology-clinical identification of concurrent cardiovascular disorders.

Clinical vascular features, either as manifest vascular disease or as cardiovascular risk factors were compared in AD with and without neuropathological white matter disease (WMD). The aim of the study was to investigate whether the presence of WMD and the severity of either AD pathology or WMD were associated with different cardiovascular profiles. A total of 44 AD cases were retrospectively studied. All the cases were neuropathologically diagnosed as AD with WMD (n=22) and as AD without WMD (n=22), respectively. The patients' medical records were studied with regard to their medical history and to somatic and neurological findings including arrhythmia, congestive heart failure, angina, myocardial infarctions, signs of TIA/stroke, diabetes mellitus, and blood pressure abnormalities, such as hypertension and orthostatic hypotension. In AD-WMD, hypertension, orthostatic hypotension as well as dizziness/unsteadiness were significantly more common than in AD without WMD. Cardiovascular symptoms were more frequent in AD-WMD than in the other group, though the difference did not reach statistical significance. Hypothetically, abnormal and unstable blood pressure levels underlie recurrent cerebral hypoperfusion, which may in turn leave room for the development of WMD. Furthermore, dizziness/unsteadiness may be a symptom reflecting the presence of WMD.

Clinical manifestations in neuropathologically defined subgroups of vascular dementia.

AIMS: To study cardio-cerebrovascular disease and clinical features, such as falls, dizziness/unsteadiness, urinary incontinence, hallucinations/delusions and delirium in neuropathologically defined subgroups of vascular Dementia (VaD): pure Small Vessel Dementia (SVD), combined SVD and Alzheimer's disease (SVD-AD), pure Large Vessel Dementia (LVD) and pure Hypoxic Hypoperfusive Dementia (HHD), and to analyse the clinical differences between these groups. MATERIALS AND METHODS: From 175 consecutive cases with neuropathologically verified VaD cases with pure SVD (n = 36) and SVD-AD (n = 38) with varying severity of AD pathology were selected and studied with respect to cardio-cerebrovascular and other clinical features. Furthermore, a comparison between pure SVD, pure LVD (n = 7) and pure HHD (n = 6) was made. RESULTS: Neither cardiovascular symptoms, hypertension, Transitoric Ischemic Attacks (TIA) nor complete cerebrovascular lesions (CVL) differed significantly between the pure SVD and SVD-AD groups. However, a wide variation of clinical features were reported. The prevalence of cardiovascular features varied markedly in the pure groups, with the highest prevalence consistently found in the LVD group. Hypertension was common in the pure LVD and SVD-groups, while it was a rare finding in the HHD-group. TIA and/or CVL were, as expected, most common in the LVD-group. CONCLUSION: In conclusion, this longitudinal and retrospective study of VaD shows important clinical similarities as well as differences between pathologically defined subgroups. Hopefully these findings will contribute to a better understanding of etiopathogenetic and diagnostic issues and form a solid basis for possible treatment strategies in VaD.

A clinico-pathological study of heart and brain lesions in vascular dementia.

All vascular dementia (VaD) cases, neuropathologically verified in a longitudinal prospective dementia project, were classified according to the vascular brain lesion type and related to the dementia type and cardiovascular pathology. From 1976 to 1995, there were 175 VaD cases, 49 of which were pure, without Alzheimer pathology and only one type of cerebrovascular lesion. Furthermore, it was found that 6 cases suffered hypoxic hypoperfusive disease, while 7 were found to have large vessel disease and 36 small vessel disease. In addition to Alzheimer pathology, more than one type of vascular brain pathology was found in the remaining 126 cases. In these cases, diagnosed in accordance with the predominant type of VaD, hypoxic-hypoperfusive lesions were found in 55, large vessel lesions in 50 and small vessel lesions in 110 cases. It should be stressed that 87% of all cases with hypoxic hypoperfusive lesions also had Alzheimer pathology. Cardiovascular and aortic pathologies were more prevalent in small vessel dementia than in the other VaD groups. Clinically diagnosed arterial hypertension was significantly associated with small vessel dementia, but not with hypoxic-hypoperfusive dementia. Cardiovascular symptoms varied considerably in frequency between different dementia groups. VaD is a heterogeneous group regarding lesions caused by different pathophysiological mechanisms and with different combinations of brain pathologies. It is therefore necessary to identify the various types of vascular brain lesions for a correlation with clinical symptoms and for diagnostic purposes in the search for risk factors and therapeutic strategies.