The growing worldwide population has increased the need for technologies, computerised software algorithms and smart devices that can monitor and assist patients anytime and anywhere and thus enable them to lead independent lives. The real-time remote monitoring of patients is an important issue in telemedicine. In the provision of healthcare services, patient prioritisation poses a significant challenge because of the complex decision-making process it involves when patients are considered 'big data'. To our knowledge, no study has highlighted the link between 'big data' characteristics and real-time remote healthcare monitoring in the patient prioritisation process, as well as the inherent challenges involved. Thus, we present comprehensive insights into the elements of big data characteristics according to the six 'Vs': volume, velocity, variety, veracity, value and variability. Each of these elements is presented and connected to a related part in the study of the connection between patient prioritisation and real-time remote healthcare monitoring systems. Then, we determine the weak points and recommend solutions as potential future work. This study makes the following contributions. (1) The link between big data characteristics and real-time remote healthcare monitoring in the patient prioritisation process is described. (2) The open issues and challenges for big data used in the patient prioritisation process are emphasised. (3) As a recommended solution, decision making using multiple criteria, such as vital signs and chief complaints, is utilised to prioritise the big data of patients with chronic diseases on the basis of the most urgent cases.
RATIONALE, AIMS AND OBJECTIVES: Existing literature suggests that doctors' poor adherence with guidelines is one of the major contributing factors to suboptimal control of hypertension. This study aims to evaluate doctors' adherence with Malaysian clinical practice guideline (CPG 2008) in a tertiary care hospital, and factors associated with guideline adherence and hypertension control.
METHODS: This was a cross-sectional study conducted at Hospital Pulau Pinang, Penang, Malaysia. Prescriptions written by 26 enrolled doctors to 650 established hypertensive outpatients (25 prescriptions per enrolled doctor) were noted on visit 1 along with patients' demographic and clinical data. The noted prescriptions were classified either as compliant or non-compliant to CPG (2008). Five hundred twenty (80%) of the enrolled patients (20 patients per enrolled doctor) were followed for one more visit. Blood pressure (BP) noted on visit 2 was related to the prescription written on visit 1. SPSS 16 (SPSS Inc., Chicago, IL, USA) was used for data analysis.
RESULTS: Three hundred forty-nine (67.1%) patients received guidelines compliant pharmacotherapy. In multivariate analysis, hypertension clinic had significant negative association with guidelines adherence. Two hundred sixty-five patients (51%) were at goal BP on visit 2. In multivariate analysis, angiotensin-converting enzyme inhibitors and guidelines adherence had significant positive, while renal disease, diabetes mellitus and diabetic clinic had significant negative association with hypertension control.
CONCLUSIONS: An overall fair level of adherence with guidelines and better control of hypertension was observed. Guidelines compliant practices resulted in better control of hypertension. The gaps between what guidelines recommend and clinical practice were especially seen in the pharmacotherapy of uncomplicated hypertension and hypertension with diabetes mellitus and renal disease.
KEYWORDS: Malaysia; adherence; guidelines; hypertension
Study site: Cardiology, nephrology, diabetic and hypertension clinics, Hospital Pulau Pinang, Malaysia
Matched MeSH terms: Blood Pressure Monitoring, Ambulatory/statistics & numerical data