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The relentless onslaught of computers and communications technologies has recently descended on the healthcare industry. Fortunately, however, the utilization of technologies in healthcare delivery and administration could not be timelier because of the need to control escalating health costs. While the proliferation of information and communication technologies in healthcare, referred to as health management information systems (HMIS), is certainly long overdue in healthcare organizations (HCOs), it is important to recognize and be prepared for the vulnerabilities of these technologies to natural, technological, and man‐made disasters. This paper describes how HCOs have justifiably become dependent on HMIS and how these organizations may proactively plan for disasters which can impact on HMIS. A phased approach, referred to as the disaster recovery and business continuity (DRBC) planning model, is presented in the paper as an approach to develop and implement business continuity plans in HCOs.

Background: Diabetes mellitus is a widespread disease, associated with rapid social and cultural changes, such as aging of population, urbanization, dietary changes, reduced physical activity, and unhealthy behaviours, leading to lower quality of life and decreased survival of affected individuals. This study aims to evaluate the sleep quality in patients with type 2 diabetes mellitus (T2DM), and to assess the relevance of other factors to sleep quality. Methods: A cross-sectional study was carried out at the Government general hospital, Ananthapuramu, during the period from December 2020 to May, 2021. A total of 384 patients with T2DM were recruited. Data were collected using the Pittsburgh sleep quality index (PSQI) and ESS to assess the sleep quality with a cutoff point of PSQI ≥ 8. Participants' demographic background data were also recorded. Statistical analysis was conducted by using graph pad prism. Results& discussion: Using Scale scores with cutoff point global PSQI ≥ 8 for sleep evaluationin our study, we found that 77.6% of T2DM patients suffer from poorsleep quality.Our study found that poor sleep quality was higher in employed diabeticpatients, as compared to unemployed patients.This study showed that diabetic patients on insulin treatment were 2.17times more likely to complain of poor sleep quality compared to patients receiving OHA only. Conclusions: Effectiveness of patient counselling by clinical pharmacist which improves the sleep quality. Thus patients reporting with sleep difficulties should be screened for diabetes. Type 2 diabetes patients with poor glycaemic control should be assessed for sleep disorders and if present it should be corrected to achieve optimum control of blood sugar levels. Keywords: Daytime dysfunction, Diabetes mellitus, ESS, Glycaemic control, PSQI, Sleep quality