Economic Evaluation of Novel Models of Care for Patients With Acute Medical Problems.

Importance: During COVID-19, Singapore simultaneously experienced a dengue outbreak, and acute hospitals were under pressure to lower bed occupancy rates. This led to new models of care to treat patients with acute, low-severity medical conditions either at home, in a hospital-at-home (HaH) model, or in a clinic-style setting sited at the emergency department in an ambulatory care team (ACT) model, but a reliable cost analysis for these models is lacking. Objective: To compare personnel costs of HaH and ACT with inpatient care. Design, Setting, and Participants: In this economic evaluation study, time-driven activity-based costing was used to compare the personnel cost of inpatient care with treating dengue via HaH and treating chest pain via ACT. Participants were patients with nonsevere dengue and chest pain unrelated to a coronary event admitted via the emergency department to the internal medicine service of a tertiary hospital in Singapore. Exposures: HaH for dengue and ACT for chest pain. Main Outcomes and Measures: A process map was created for the patient journey for a typical patient with each condition. The amount of time personnel spent on delivering care was estimated and the cost per minute determined based on their wages in 2022. The total cost of care was calculated by multiplying the time spent by the per-minute cost of the personnel resource and summing all costs. Results: Compared with inpatient care, HaH used 50% less nursing time (418 minutes, 95% uncertainty interval [UI], 370 to 465 minutes) but 80% more medical time (303 minutes, 95% UI, 270 to 338 minutes) per case of dengue. If implemented nationally, HaH would save an estimated 56 828 SGD per year (95% UI, -169 497 to 281 412 SGD [US $41 856; 95% UI, -$124 839 to $207 268]). The probability that HaH is cost saving was 69.2%. Compared with inpatient care, ACT used 15% less nursing time (296 minutes, 95% UI, 257 to 335 minutes) and 50% less medical time (57 minutes, 95% UI, 46 to 69 minutes) per case of chest pain. If implemented nationally, ACT would save an estimated 1 561 185 SGD per year (95% UI, 1 040 666 to 2 086 518 SGD [US $1 149 862; 95% UI, $766 483 to $1 536 786]). The probability that ACT is cost saving was 100%. Conclusions and Relevance: This economic evaluation found that the HaH and ACT models decreased the overall personnel cost of care. Reorganizing hospital resources may help hospitals reap the benefits of reduced hospital-acquired infections, improved patient recovery, and reduced hospital bed occupancy rates.

mHealth App to Facilitate Remote Care for Patients With COVID-19: Rapid Development of the DrCovid+ App.

BACKGROUND: The 2019 novel COVID-19 has severely burdened the health care system through its rapid transmission. Mobile health (mHealth) is a viable solution to facilitate remote monitoring and continuity of care for patients with COVID-19 in a home environment. However, the conceptualization and development of mHealth apps are often time and labor-intensive and are laden with concerns relating to data security and privacy. Implementing mHealth apps is also a challenging feat as language-related barriers limit adoption, whereas its perceived lack of benefits affects sustained use. The rapid development of an mHealth app that is cost-effective, secure, and user-friendly will be a timely enabler. OBJECTIVE: This project aimed to develop an mHealth app, DrCovid+, to facilitate remote monitoring and continuity of care for patients with COVID-19 by using the rapid development approach. It also aimed to address the challenges of mHealth app adoption and sustained use. METHODS: The Rapid Application Development approach was adopted. Stakeholders including decision makers, physicians, nurses, health care administrators, and research engineers were engaged. The process began with requirements gathering to define and finalize the project scope, followed by an iterative process of developing a working prototype, conducting User Acceptance Tests, and improving the prototype before implementation. Co-designing principles were applied to ensure equal collaborative efforts and collective agreement among stakeholders. RESULTS: DrCovid+ was developed on Telegram Messenger and hosted on a cloud server. It features a secure patient enrollment and data interface, a multilingual communication channel, and both automatic and personalized push messaging. A back-end dashboard was also developed to collect patients' vital signs for remote monitoring and continuity of care. To date, 400 patients have been enrolled into the system, amounting to 2822 hospital bed-days saved. CONCLUSIONS: The rapid development and implementation of DrCovid+ allowed for timely clinical care management for patients with COVID-19. It facilitated early patient hospital discharge and continuity of care while addressing issues relating to data security and labor-, time-, and cost-effectiveness. The use case for DrCovid+ may be extended to other medical conditions to advance patient care and empowerment within the community, thereby meeting existing and rising population health challenges.

Clinical impact of non-antibiotic recommendations by a multi-disciplinary antimicrobial stewardship team.

INTRODUCTION: The multi-disciplinary antimicrobial stewardship team at the study hospital conducts prospective review and feedback on all inpatient orders of piperacillin-tazobactam and carbapenems. In addition, the team provides non-antibiotic recommendations (i.e. additional investigations and infectious disease reviews). This study aimed to describe the impact of these recommendations on patient outcomes. METHODS: Patients on carbapenem and piperacillin-tazobactam who received at least one non-antibiotic recommendation between January 2012 and August 2014 were included in this study. Acceptance and rejection of non-antibiotic recommendations by the managing physician were compared. The primary outcome was 30-d mortality. RESULTS: Non-antibiotic recommendations were made in 166 patients. There were no differences in baseline characteristics between patients for whom recommendations were accepted and patients for whom recommendations were rejected. Thirty-day mortality (18.0% vs. 34.5%, P = 0.02) was significantly lower in patients who had at least one non-antibiotic recommendation accepted. Multi-variate analysis found that Charlson's comorbidity score [odds ratio (OR) 1.20, 95% confidence interval (CI) 1.03-1.42, P = 0.03], APACHE II score (OR 1.10, 95% CI 1.01-1.19, P < 0.01), hepatobiliary source of infection (OR 10.19, 95% CI 1.44-72.13, P = 0.02) and acceptance of at least one non-antibiotic recommendation (OR 0.39, 95% CI 0.17-0.88, P = 0.02) were independently associated with 30-d mortality. CONCLUSIONS: During prospective review and feedback of piperacillin-tazobactam and carbapenems, acceptance of non-antibiotic recommendations was found to be associated with a reduction in 30-d mortality.

Pentoxifylline-Induced Thrombocytopenia: A Case Report.

Pentoxifylline-induced thrombocytopenia is rare, and information is lacking about its presentation. We describe a 72-year-old Chinese male who developed thrombocytopenia after initiation of pentoxifylline for the treatment of chronic lower limb ischemia due to peripheral artery disease. Venous thromboembolism had been ruled out with an ultrasound. Vascular surgeons had also determined there was no indication for surgical intervention. Four days after initiation of pentoxifylline, he developed thrombocytopenia, and his platelets were 68 × 10(3)/µL. He was not in overt disseminated intravascular coagulation (DIC), based on his International Society for Thrombosis and Hemostasis (ISTH) DIC score of 4. Dengue fever, which is endemic in Singapore, was ruled out. Pseudothrombocytopenia was also excluded with a peripheral blood film. When his platelets continued to fall, pentoxifylline was discontinued on the fifth day of treatment, and platelets normalized 48 hours after discontinuation. Pentoxifylline was a probable cause of thrombocytopenia using the Naranjo Adverse Drug Reaction Probability Scale (score = 7). The patient did not receive further doses of pentoxifylline. Prescribers should be aware of the risk of thrombocytopenia with pentoxifylline therapy and discontinue its use promptly if it is suspected.

Safety and effectiveness of improving carbapenem use via prospective review and feedback in a multidisciplinary antimicrobial stewardship programme.

INTRODUCTION: Antimicrobial stewardship programmes (ASP) can reduce antibiotic use but patient safety concerns exist. We evaluated the safety of prospective carbapenem review and feedback and its impact on carbapenem use and patient outcomes. MATERIALS AND METHODS: After 3 months implementation of our ASP, we compared patients with and without acceptance of ASP recommendations on the use of carbapenems. Primary outcome was 30-day mortality. Secondary outcomes included duration of carbapenem use, length of hospitalisation, clinical response, microbiological clearance, 30-day readmission and mortality at discharge. RESULTS: Of 226 recommendations for 183 patients, 59.3% was accepted. De-escalation, switching to oral antibiotics and antibiotic cessation comprised 72% of recommendations. Patients with acceptance of ASP recommendations had lower 30-day mortality and higher end-of-therapy clinical response despite shorter carbapenem duration (P <0.05). Predictors of 30-day mortality were Pitt bacteraemia score (adjusted odds ratio [aOR] 1.39, 95% confidence interval [CI], 1.11 to 1.74; P = 0.004) and non-acceptance of ASP recommendations (aOR 2.84, 95% CI, 1.21 to 6.64; P = 0.016). CONCLUSION: Our prospective carbapenem review and feedback mainly comprising of reducing carbapenem use is safe.

Mathematical model to quantify the effects of risk factors on carbapenem-resistant Acinetobacter baumannii.

Carbapenem-resistant Acinetobacter baumannii (CRAB) infections are increasing, and they are associated with an increased risk of mortality in hospitalized patients. Linear regression is commonly used to identify concurrent trends, but it cannot quantify the relationship between risk factors and resistance. We developed a model to quantify the impact of antibiotic consumption on the prevalence of CRAB over time. Data were collected from January 2007 to June 2013 from our institution. Quarterly antibiotic consumption was expressed as defined daily dose/1,000 inpatient days. Six-month prevalence of CRAB was expressed as a percentage of all nonrepeat A. baumannii isolates tested. Individual trends were identified using linear regression. Antibiotic consumption from 2007 to 2011 was input as a step function in a relationship with CRAB. Model fit was evaluated by visual inspection and the residual sum of squares. The final model was validated using the best-fit (95% confidence interval) parameter estimates and antibiotic consumption to predict CRAB prevalence from January 2012 to June 2013. Cefepime, ertapenem, and piperacillin-tazobactam consumption and CRAB prevalence increased significantly over time. CRAB prevalence was best correlated to ertapenem (use sensitive; r2=0.76), and accounting for additional concurrent antibiotic use did not significantly improve model fit. Prospective validation with ertapenem consumption correlated well with CRAB observations, suggesting good predicting ability of the model. Our model provided the quantitative impact of antibiotic consumption on CRAB. We plan to further refine this model to account for multiple risk factors. Interventions should focus on controlling risk factors with the highest impact on resistance.