‘WHY PATIENTS PREFER PRIVATE HOSPITAL‘

Patient satisfaction is a very important means that of activity the effectiveness of health care delivery and quality of medical aid. It denotes the extent to that general health care wants of the patient are met to their necessities. Millions of Indians forced to turn to cripplingly expensive private healthcare because of lack of quality medical services in public institutions across the country. Private Doctors were the most important single source of treatment in both rural and urban sectors,” said the National Sample Survey Office (NSSO) survey of over 3.3 lakh households across India released this week. Although there too most tending expenses are paid out of pocket by patients and their families, instead of through insurance, because it is assumed that private sectors are being more efficient and provide better treatment to satisfy patients than public hospitals. There are few studies done thus far to live patient satisfaction privately hospitals in Madhya Pradesh. This study was designed to assess the patient satisfaction relating to the services provided privately hospital of Indore (MP) India. During this study eighty five respondents selected conveniently were asked to fill structured survey form to report their satisfaction with their stay in private hospital services of Indore town. The results confirms that quality of care, accountability and various services are main reason for patients preference in private hospitals. Brown, Jurg Bernhard (2010) in their study found that Cognitive and emotional aspects of Sharing Decision and Managing emotions in oncology consultations have different effects on various patient outcomes. It is important that doctors focus on both sharing decisions and managing emotions in consultations. Communication skills training addressing both these areas may be an effective way A pilot study using Cultural Consensus Analysis to measure Systems-Based Practice performance” concluded that the correlation between patient satisfaction cumulative scores and the difference in patient and resident cultural consensus analysis rankings on ‘goals’ was -0.527 (less difference between residents’ and patients’ value ranking correlates with higher satisfaction). The correlation with ‘changes’ was -0.351. The correlation between nursing satisfaction cumulative scores and the difference in nursing staff and resident cultural consensus analysis rankings on ‘goals’ was -0.086. The correlation with ‘changes’ was -0.415. and Secondary analyses that all the effects of physician communication skills on patient adherence are mediated by patient satisfaction and recall. These findings indicate that the physician might pay particular attention to these two variables in trying to improve patient adherence, and that enhancing patient satisfaction be M. and L. Damberg studied ”Methodological Challenges Associated with Patient Responses to Follow-up Longitudinal Surveys Regarding Quality of Care, concluded that overall response rates were 54 percent and 63 percent for patients with chronic disease. Patient demographics, health status, use of services, and satisfaction with care in 1996 were all significant predictors of response in 1998, highlighting the importance of analytic strategies (i.e., application of non response weights) to minimize bias in estimates of care and outcomes associated with longitudinal quality of care and health outcome analyses. Process of care scores weighted for non response differed from un weighted scores (po.001). Stability of responses across time was moderate, but varied by survey item from fair to excellent. ‘A Demonstration of the Impact of Response Bias on the Results of Patient Satisfaction Surveys’ came with the conclusion that positive correlation was found between mean patient satisfaction rating and response rate in the actual patient satisfaction data. Simulation results suggest response bias could lead to overestimation of patient satisfaction overall, with this effect greatest for physicians with the lowest satisfaction scores. communication-skills training on patient-satisfaction that Patient satisfaction did not significantly “Physicians’ Empathy and Clinical Outcomes for Diabetic Patients ” concluded that Empathy, an essential component of the physician–patient relationship, may be linked to positive patient outcomes. Published reports also suggest that indicators of empathic engagement in patient care, such as Physician–Patient Communication, Verbal interaction (e.g., positive talk), nonverbal cues (e.g., appropriate touch, eye contact, bodily posture, gestures), as well as length of the encounter can lead to increased patient satisfaction These findings indicated that the physicians’ degree of empathy was a unique and significant contributor to the prediction of good control of hemoglobin A1c for diabetic patients, beyond the contributions of gender and age of the physicians and patients, and type of patients’ health insurance. IV regression, with a coefficient of 0.40, p5.046. Although they found that the relationship between patient communication ratings and overall patient satisfaction may be confounded by patient-level factors, but they nevertheless continue to find evidence of a statistically significant and sizable relationship between physicians’ communication behaviors and overall patient satisfaction after controlling for such factors. These results support the hypothesis that physicians’ communication behaviors are associated with overall ratings of satisfaction. and non-verbal behavior of and patients in primary care consultations – How this relates to patient enablement” and concluded that Consultations that were regarded as patient-centered or verbally dominated by the patient on RIAS coding were considered enabling. Socio-emotional interchange (agreements, approvals, laughter, legitimization) was associated with enablement. These features, together with task-related behavior explain up to 33% of the variance of enablement, 67% unexplained. Thus, enablement appears to include aspects beyond those expressed as observable behavior. “Further analysis of a doctor–patient nonverbal communication instrument” the reliability and validity of the relational communication scale for observational measurement (RCS-O) using a random sample of 80 videotaped interactions of medical students interviewing standardized patients (SPs). The RCS-O is a 34-item instrument designed to measure the nonverbal communication of physicians interacting with patients. The instrument was applied and examined in two different interview scenarios. In the first scenario (year 1), the medical student’s interview objective is to demonstrate patient-centered interviewing skills as the SP presents with a psychosocial concern. In the second scenario (year 3), the student’s interview objective is to demonstrate both doctor-centered and patient-centered skills as the SP presents with a case common in primary care. In the year 1 scenario, 19 of the 34 RCS-O items met acceptable levels of inter-rater agreement and reliability. In the year 3 scenario, 26 items met acceptable levels of inter-rater agreement and reliability. Factor analysis indicated that in both scenarios each of the four primary relational communication dimensions was salient: