Promoting Self-Management and Independent Living of Older Individuals with Chronic Diseases through Technology: A Study of Self-Reported Needs, Priorities, and Preferences.
Dr Argyroula KalaitzakiMichael RovithisAlexios DimitropoulosSofia KoukouliManolis LinardakisElli KatsiriNikolaos RikosGeorgios VasilopoulosGeorge TsolasAikaterini PapachristouAnastasia DimitrantzouDimitrios KatsirisAreti StavropoulouPublished in: Medicina (Kaunas, Lithuania) (2023)
Background and Objectives : Older patients' needs are rarely examined beforehand, and thus, although technology-based tools can enhance self-management, acceptability rates are still low. This study aimed to examine and compare self-reported needs, priorities, and preferences of older patients with heart failure (HF), diabetes mellitus type II (DM2), and chronic obstructive pulmonary disease (COPD) toward technology use to enhance self-management. Materials and Methods : A convenience sample of 473 participants over 60 s (60.5% females), diagnosed with HF ( n = 156), DM2 (n = 164), or COPD (n = 153) was recruited. They were administered a questionnaire about the usefulness of technology in general and in specific areas of disease management. Results : Most participants (84.7%) admitted that technology is needed for better disease management. This was equally recognized across the three groups both for the overall and specific areas of disease management (in order of priority: "Information", "Communication with Physicians and Caregivers", and "Quality of Life and Wellbeing"). Sociodemographic differences were found. Cell phones and PCs were the devices of preference. The four common features prioritized by all three groups were related to 'information about disease management' (i.e., monitoring symptoms, reminders for medication intake, management and prevention of complications), whereas the fifth one was related to 'communication with physicians and caregivers (i.e., in case of abnormal or critical signs). The top disease-specific feature was also monitoring systems (of respiratory rate or blood sugar or blood pressure, and oxygen), whereas other disease-specific features followed (i.e., maintaining normal weight for HF patients, adjusting insulin dose for DM2 patients, and training on breathing exercises for COPD patients). Conclusions : Older individuals in these three groups seem receptive to technology in disease management. mHealth tools, incorporating both common and disease-specific features and addressing different chronic patients, and also being personalized at the same time, could be cost-saving and useful adjuncts in routine clinical care to improve self-management.
Keyphrases
- end stage renal disease
- chronic obstructive pulmonary disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- blood pressure
- healthcare
- palliative care
- physical activity
- primary care
- prognostic factors
- lung function
- skeletal muscle
- stem cells
- heart failure
- metabolic syndrome
- mesenchymal stem cells
- social media
- pain management
- risk factors
- emergency department
- air pollution
- adipose tissue
- chronic pain
- deep learning
- cross sectional
- glycemic control
- adverse drug