Predicting Patients' Satisfaction With Doctors in Online Medical Communities

Online medical communities have revolutionized the way patients obtain medical-related information and services. Investigating what factors might influence patients’ satisfaction with doctors and predicting their satisfaction can help patients narrow down their choices and increase their loyalty towards online medical communities. Considering the imbalanced feature of dataset collected from Good Doctor, we integrated XGBoost and SMOTE algorithm to examine what factors and these factors can be used to predict patient satisfaction. SMOTE algorithm addresses the imbalanced issue by oversampling imbalanced classification datasets. And XGBoost algorithm is an ensemble of decision trees algorithm where new trees fix errors of existing trees. The experimental results demonstrate that SMOTE and XGBoost algorithm can achieve better performance. We further analyzed the role of features played in satisfaction prediction from two levels: individual feature level and feature combination level.

Shared decision-making and the lessons learned about decision regret in cancer patients

The commentary presents reflections on the literature on post-treatment cancer patient regret. Even though a lot of effort has been made to increase patient satisfaction by engaging them in medical decisions, patient regret remains present in clinical settings. In our commentary, we identify three main aspects of shared decision-making that previously have been shown to predict patient regret. Based on these findings, we provide recommendations for physicians involved in the shared decision-making process. In addition, we make methodological suggestions for future research in the field.

Comparison of the effects of remifentanil and dexmedetomidine on surgeon satisfaction with surgical field visualization and intraoperative bleeding during rhinoplasty

Objective We aimed to compare the effect of dexmedetomidine with remifentanil on hemodynamic stability, surgical field quality, and surgeon satisfaction during rhinoplasty. Methods and materials In this double-blind randomized controlled-trial, 60 participants scheduled for rhinoplasty at the Mother and Child Hospital, Shiraz, Iran, was randomely divided into the dexmedetomidine group (IV infusion of 1 μg/kg dexmedetomidine over 20 min before induction of anesthesia then 0.6 μg/kg/hr. dexmedetomidine from the time of induction until the end of the operation) or in the the remifentanil group (an infusion rate of 0.25 μg/kg/min from the time of anesthesia induction until the end of the operation). Bleeding volume, surgeon satisfaction, postoperative pain (visual analog scale (VAS)), Level of sedation (Richmond Agitation Sedation Scale (RASS)), Patient satisfaction, Vital signs & recovery, and the Aldrete Score (used to discharge the patients from recovery) were measured for all participants. Results The patients in the dexmedetomidine group had less bleeding (p = 0.047) and shorter time to return of respiration, extubation, and the postoperative recovery time (p < 0.001). The surgeon satisfaction was higher in the dexmedetomidine group (p < 0.001). Patient satisfaction was significantly different between the two groups (p < 0.001). VAS scores, intaking paracetamol, and RASS score were significantly lower in the remifentanil group (p < 0.001). SBP, DBP, MAP, and heart rate were lower in dexmedetomidine group. Conclusion Dexmedetomidine was associated with relatively stable hemodynamics, leading to decreased intraoperative bleeding, recovery time, and greater surgeon satisfaction and the level of consciousness in the recovery ward. However, painlessness and patient satisfaction were greater with the use of remifentanil. Trial registration IRCT20141009019470N112.

Assessment of Pregnant Women’s Satisfaction with Model of Care Initiative: Antenatal Care Service at Primary Health Care in Cluster One in Riyadh, Saudi Arabia

The current study assessed pregnant women’s satisfaction with antenatal care (ANC) services at primary health care centers (PHCs) in Riyadh Cluster One. The study was conducted at 11 PHCs where the ANC initiative has been implemented. A total of 646 pregnant women were enrolled. A questionnaire was completed by participants to measure the level of satisfaction with the provided services, care, and consultation. Subsequently, the data were analyzed to determine the significant differences and conduct regression analysis. The overall satisfaction with initial triage assessment, provided services, consultation, and examination was 93.7%, 87.8%, 71.8%, and 53.9%, respectively. Regarding ANC services, education was the only statistically significant variable that influenced patient satisfaction (p < 0.05). In contrast, satisfaction with the provided care was significantly related to all the variables studied. For consultation, education (p < 0.001) and monthly income (p < 0.05) were the statistically significant role players. In the regression analysis, secondary education was statistically significantly related to the provided services, consultation, and examination. Despite the satisfactory level of ANC at the selected PHCs, higher patient satisfaction could be achieved in the future by improving the consultation and examination practices. Overall satisfaction with the health care workers at PHCs is high. Incorporating implied ameliorations would enhance the quality of services and patient satisfaction.

Patient satisfaction with the Nigerian National Health Insurance Scheme two decades since establishment: A systematic review and recommendations for improvement

Background: To improve healthcare access and mitigate healthcare costs for its population, Nigeria established a National Health Insurance Scheme (NHIS) in 1999. The NHIS remains Nigeria’s leading vehicle for achieving universal health coverage; nonetheless, questions remain regarding its quality and effectiveness. Studies on patient satisfaction have served as a useful strategy to further understand the patient experience and the efficacy of health systems.Aim: To synthesise current knowledge on patient satisfaction with the NHIS.Methods: The authors performed a systematic review of primary literature from 1999 to 2020 reporting on NHIS patient satisfaction in eight databases (including PubMed, Embase, and Africa-wide Information).Results: This search returned 764 unique records of which 21 met criteria for full data extraction. The 21 qualifying studies representing 11 of the 36 Nigerian states, were published from 2011 to 2020, and found moderate overall satisfaction with the NHIS (64%). Further, when disaggregated into specific domains, NHIS enrolees were most satisfied with provider attitudes (77%) and healthcare environments (70%), but less satisfied with laboratories (62%), billings (62%), pharmaceutical services (56%), wait times (55%), and referrals (51%). Importantly, time trends indicate satisfaction with the NHIS is increasing – although to differing degrees depending on the domain.Conclusion: The beneficiaries of the NHIS are moderately satisfied with the scheme. They consider it an improvement from being uninsured, but believe that the scheme can be considerably improved. The authors present two main recommendations: (1) shorter wait times may increase patient satisfaction and can be a central focus in improving the overall scheme, and (2) more research is needed across all 36 states to comprehensively understand patient satisfaction towards NHIS in anticipation of potential scheme expansion.

The deployment of balanced scorecard in health care organizations: is it beneficial? A systematic review

Background Balanced Scorecard (BSC) has been implemented for three decades to evaluate and improve the performance of organizations. To the best of the researchers’ knowledge, no previous systematic review has performed a comprehensive and rigorous methodological approach to figure out the impact of BSC implementation in Health Care Organizations (HCO). Aims The current work was intended to assess the impact of implementing the BSC on Health Care Workers’ (HCW) satisfaction, patient satisfaction, and financial performance. Methods The authors prepared the present systematic review according to PRISMA guidelines. Further, the authors customized the search strategy for PubMed, Embase, Cochrane, Google Scholar databases, and Google’s search engine. The obtained studies were screened to isolate those measuring scores related to HCW satisfaction, patient satisfaction, and financial performance. The Risk of Bias (RoB) in the non-Randomized Intervention Studies (ROBINS-I) tool was used to assess the quality of observational and quasi-experimental studies. On the other hand, for the Randomized Controlled Trials (RCTs), the Cochrane (RoB 2) tool was used. Results Out of 4031 studies, the researchers included 20 studies that measured the impact of BSC on one or more of the three entities (HCW satisfaction, patient satisfaction, and financial performance). Throughout these 20 studies, it was found that 17 studies measured the impact of the BSC on patient satisfaction, seven studies measured the impact on HCW satisfaction, and 12 studies measured the impact on financial performance. Conclusion This systematic review provides managers and policymakers with evidence to support utilizing BSC in the health care sector. BSC implementation demonstrated positive outcomes for patient satisfaction and the financial performance of HCOs. However, only a mild impact was demonstrated for effects related to HCW satisfaction. However, it is worth noting that many of the studies reflected a high RoB, which may have affected the impacts on the three primary outcomes measured. As such, this systematic review reflects the necessity for further focus on this area in the future. Moreover, future research is encouraged to measure the real and current impact of implementing BSC in HCO during the pandemic since we did not find any.

Resource management framework using simulation modeling and multi-objective optimization: a case study of a front-end department of a public hospital in Thailand

Background The overcrowded patients, which cause the long waiting time in public hospitals, become significant problems that affect patient satisfaction toward the hospital. Particularly, the bottleneck usually happens at front-end departments (e.g., the triage and medical record department) as every patient is firstly required to visit these departments. The problem is mainly caused by ineffective resource management. In order to support decision making in the resource management at front-end departments, this paper proposes a framework using simulation and multi-objective optimization techniques considering both operating cost and patient satisfaction. Methods To develop the framework, first, the timestamp of patient arrival time at each station was collected at the triage and medical record department of Thammasat University Hospital in Thailand. A patient satisfaction assessment method was used to convert the time spend into a satisfaction score. Then, the simulation model was built from the current situation of the hospital and was applied scenario analyses for the model improvement. The models were verified and validated. The weighted max–min for fuzzy multi-objective optimization was done by minimizing the operating cost and maximizing the patient satisfaction score. The operating costs and patient satisfaction scores from various scenarios were statistically compared. Finally, a decision-making guideline was proposed to support suitable resource management at the front-end departments of the hospital. Result The three scenarios of the simulation model were built (i.e., a real situation, a one-stop service, and partially shared resources) and ensured to be verified and valid. The optimized results were compared and grouped into three situations which are (1) remain the same satisfaction score but decrease the cost (cost decreased by 2.8%) (2) remain the same satisfaction score but increase the cost (cost increased up to 80%) and (3) decrease the satisfaction score and decrease the cost (satisfaction decreased up to 82% and cost decreased up to 59%). According to the guideline, the situations 1 and 3 were recommended to use in the improvement and the situation 2 was rejected. Conclusion This research demonstrates the resource management framework for the front-end department of the hospital. The experimental results imply that the framework can be used to support the decision making in resource management and used to reduce the risk of applying a non-improvement model in a real situation.