Can a telemonitoring system lead to decreased hospitalization in elderly patients?

Introduction Growing populations of elderly patients with chronic obstructive pulmonary disease (COPD) or heart failure (HF) require more healthcare. A four-year telehealth intervention - the Health Diary system based on digital pen technology - was implemented. We hypothesized that study patients with advanced COPD or HF would have lower rates of hospitalization when using the Health Diary. The aim was to investigate the effects of the intervention on healthcare costs and the number of hospitalizations, as well as other care required in COPD and HF patients. Methods Patients were introduced to the telemonitoring system which was supervised by a specialized hospital-based home care (HBHC) unit. Staff associated with this unit were responsible for the healthcare provided. The study included patients with COPD or HF, aged amp;gt;= 65 years who were frequently hospitalized due to exacerbations - at least two inpatient episodes within the last 12 months. Observed number of hospitalizations and total healthcare costs were compared with the expected values, which were calculated using the generalized estimating equations (GEE) method. Results A total of 36 COPD and 58 HF patients with advanced stages of disease were included. The number of hospitalizations was significantly reduced for both HF and COPD patients participating in telemonitoring. Accordingly, hospitalization costs were significantly reduced for both groups, but the total healthcare cost was not significantly different from the expected costs. Conclusion A telemonitoring system, the Health Diary, combined with a specialized HBHC unit significantly decreases the need for hospital care in elderly patients with advanced HF or COPD without increasing total healthcare costs

Monitoring the prevalence of chronic conditions: which data should we use?

<p>Abstract</p> <p>Background</p> <p>Chronic diseases are an increasing threat to people’s health and to the sustainability of health organisations. Despite the need for routine monitoring systems to assess the impact of chronicity in the population and its evolution over time, currently no single source of information has been identified as suitable for this purpose. Our objective was to describe the prevalence of various chronic conditions estimated using routine data recorded by health professionals: diagnoses on hospital discharge abstracts, and primary care prescriptions and diagnoses.</p> <p>Methods</p> <p>The ICD-9-CM codes for diagnoses and Anatomical Therapeutic Chemical (ATC) codes for prescriptions were collected for all patients in the Basque Country over 14 years of age (n=1,964,337) for a 12-month period. We employed a range of different inputs: hospital diagnoses, primary care diagnoses, primary care prescriptions and combinations thereof. Data were collapsed into the morbidity groups specified by the Johns Hopkins Adjusted Clinical Groups (ACGs) Case-Mix System. We estimated the prevalence of 12 chronic conditions, comparing the results obtained using the different data sources with each other and also with those of the Basque Health Interview Survey (ESCAV). Using the different combinations of inputs, Standardized Morbidity Ratios (SMRs) for the considered diseases were calculated for the list of patients of each general practitioner. The variances of the SMRs were used as a measure of the dispersion of the data and were compared using the Brown-Forsythe test.</p> <p>Results</p> <p>The prevalences calculated using prescription data were higher than those obtained from diagnoses and those from the ESCAV, with two exceptions: malignant neoplasm and migraine. The variances of the SMRs obtained from the combination of all the data sources (hospital diagnoses, and primary care prescriptions and diagnoses) were significantly lower than those using only diagnoses.</p> <p>Conclusions</p> <p>The estimated prevalence of chronic diseases varies considerably depending of the source(s) of information used. Given that administrative databases compile data registered for other purposes, the estimations obtained must be considered with caution. In a context of increasingly widespread computerisation of patient medical records, the complementary use of a range of sources may be a feasible option for the routine monitoring of the prevalence of chronic diseases.</p