14 research outputs found
Trust and expectation on psychiatrist and its correlation with satisfaction and adherence in patients with mental illness
No full textBackground Trust and expectation are important aspect of doctor patient relationship and its role in patient’s satisfaction and medication adherence is unclear. Objective To study the levels of trust and expectation on psychiatrist and its relationship with patient’s satisfaction and treatment adherence. Methods One hundred and twenty three consecutive outpatients were recruited on follow-up if they satisfied the selection criteria. They were assessed with socio-demographic and clinical proforma designed for this study, Patient Trust Scale, Patient Satisfaction Survey, Patient Expectations Questionnaire and Medication Adherence Rating Scale. Results There was a high mean score on trust scale (Mean 38.9, SD 8.5) and expectation questionnaire (Mean 13.5, SD 3.3). On Kruskal-Wallis H test significant group differences were observed in nuclear vs joint family type (c2 = 18.496, h2 = .151, df = 1, Sig. = .000) and knowledge of treatment option (medication only vs medication + psychotherapy) treatment option (c2 = 18.100, h2 = .148, df = 2, Sig. = .000) and occupational status (employed vs unemployed) (c2 = 3.165, h2 =.029, df = 1, Sig. = .056) on the score of PTS. Similar differences were also observed in method of treatment sought before (no treatment vs allopathic) (c2 = .065, h2 = .065, df = 3, Sig. = .005), knowledge about treatment option (medication only vs medication + psychotherapy) (c2 = .026, h2 = .161, df = 2, Sig. = .000) and occupation (employed vs unemployed) (c2 = .061, h2 = .061, df = 1, Sig. = .006) on the score of PEQ. On regression analysis (R2 = .723, F = 156.46, p = .000) value of the score on patient satisfaction was statistically significant as predicted by score on measure of expectation (beta = -0.095, t = -1.966, p = 0.052) and trust (beta = .842, t = 17.504, p = .000). Discussion Levels of patients trust and expectation on physician varies with knowledge about treatment option & occupational status, and significantly associated with levels of satisfaction
Risk Assessment in Discharge Process using PFMEA Tool in a Multi-Specialty Hospital
No full textIntroduction: ‘Quality’ is an inseparable component of healthcare. It focuses not only on care parameters but also in identifying the potential failures/ risks associated with the care process; thereby addressing them pro-actively before the occurrence of the loss. There are several quality tools available such as Process Failure Mode Effect Analysis (PFMEA) that helps in analyzing a process for identification of possible failures. This helps to find ways to avoid the occurrence of the failure or have a strategy to eliminate or minimize the risk. Thus, the current study was undertaken on identifying the risks involved in the discharge process using PFMEA tool. Objectives: To identify the potential risks in patient discharge process and suggest measures to address the failures. Methodology: The study was conducted for a period of 2 months in a multi-specialty hospital. In-patient discharge process was observed in detail and potential failures in the process were identified with the help of a multidisciplinary team constituted for the same purpose. Brainstorming sessions were conducted with the team members to identify possible failures, its causes and effects. Basing on the severity, occurrence and detectability, failure was ranked on a scale of 1 to 10 and Risk Priority Numbers (RPN) were assigned to each of the potential risks in the process. Results: A total of 23 possible failures were identified which included inadequate explanation of discharge summary, missing diagnostic reports, delay in discharge medication initiation and unattended patient queries. RPN values have ranged from 60-320; depicting severity, occurrence and detectability of respective failures. Conclusion: Identifying the potential failures in the patient care process is very crucial for patient, provider and healthcare facility as it helps in the optimization of resources, adds value to patient care, leads to patient satisfaction thereby enhancing quality
Level of paranormal beliefs and its relationship with explanatory models, treatment adherence and satisfaction
No full textBackground Paranormal beliefs are common among patients with mental illness. Such beliefs may mediate conceptualization of illness, treatment satisfaction and medication adherence. Objective To study the level of paranormal beliefs and its relationship with explanatory models, treatment adherence and satisfaction using standardized assessment tool. Methods Eighty nine patients with mental illness in remission were assessed with Sociodemographic proforma, Revised Paranormal Belief Scale (RPBS), Mental Distress Explanatory Model Questionnaire (MMAS), Morisky Medication Adherence Scale (MMAS) and Short Assessment of Patient Satisfaction (SAPS). Results Results revealed a high level of paranormal beliefs on RPBS (Mean 83.96, SD ± 23.91). Variables that had a statistically significant group difference on the score of RPBS were domicile status (p < 05), diagnosis (p < 001), method of treatment sought before (p < 001). In a linear regression analysis four variables explained 35.4% of the variance (R2 = .38, R2Adjusted = .35, F = 13.04, p < .001) in RPBS Score. These variables were total score of MDEMQ (Beta = .308, t = 3.435, p < .001), total score of MMAS (beta = .357, t = 3. 716, p < .001) and magico-religious treatment received earlier (beta = .306, t = 3.52, p < .001) and SAPS. Discussion Based on the finding of this study, it may be concluded that the level of paranormal beliefs may vary with some demographic variables. Levels of paranormal beliefs is positively associated with explanatory models and adherence in patients with mental illness in remission
Trust and expectation on psychiatrist and its correlation with satisfaction and adherence in patients with mental illness
No full text Background Trust and expectation are important aspect of doctor patient relationship and its role in patient’s satisfaction and medication adherence is unclear. Objective To study the levels of trust and expectation on psychiatrist and its relationship with patient’s satisfaction and treatment adherence. Methods One hundred and twenty three consecutive outpatients were recruited on follow-up if they satisfied the selection criteria. They were assessed with socio-demographic and clinical proforma designed for this study, Patient Trust Scale, Patient Satisfaction Survey, Patient Expectations Questionnaire and Medication Adherence Rating Scale. Results There was a high mean score on trust scale (Mean 38.9, SD 8.5) and expectation questionnaire (Mean 13.5, SD 3.3). On Kruskal-Wallis H test significant group differences were observed in nuclear vs joint family type (c2 = 18.496, h2 = .151, df = 1, Sig. = .000) and knowledge of treatment option (medication only vs medication + psychotherapy) treatment option (c2 = 18.100, h2 = .148, df = 2, Sig. = .000) and occupational status (employed vs unemployed) (c2 = 3.165, h2 =.029, df = 1, Sig. = .056) on the score of PTS. Similar differences were also observed in method of treatment sought before (no treatment vs allopathic) (c2 = .065, h2 = .065, df = 3, Sig. = .005), knowledge about treatment option (medication only vs medication + psychotherapy) (c2 = .026, h2 = .161, df = 2, Sig. = .000) and occupation (employed vs unemployed) (c2 = .061, h2 = .061, df = 1, Sig. = .006) on the score of PEQ. On regression analysis (R2 = .723, F = 156.46, p = .000) value of the score on patient satisfaction was statistically significant as predicted by score on measure of expectation (beta = -0.095, t = -1.966, p = 0.052) and trust (beta = .842, t = 17.504, p = .000). Discussion Levels of patients trust and expectation on physician varies with knowledge about treatment option & occupational status, and significantly associated with levels of satisfaction.</div
Correlates of Process of Suicide Attempt and Perception of its Prevention
No full textObjective: Suicide attempt may follow a process right from the inception of the first information about suicide until the act itself. This study was conducted to determine the relationship between perception of suicide prevention with the process of suicide attempt and demographic variables following a suicidal attempt.
Method: In this hospital based cross-sectional study, 168 consecutive admitted participants with a suicide attempt were screened, and 109 who met the study criteria were recruited to participate in this study before discharge. They were assessed using the socio-demographic and clinical proforma designed for this study as well as by the Pierce Suicide Intent Scale. To assess the process of suicide attempt and perception of suicide prevention, a 17- item questionnaire was developed and used after rigorous literature search. The Cronbach’s alpha coefficient value of this questionnaire found to be 0.84 in the reliability analysis.
Results: Media was the first source of information, and the majority had short duration of preoccupation and interval between making the decision and the actual attempt and the control of emotion during the attempt. A significant positive correlation was observed between the source of the first information and age (p<01), reason for the method used and economic status (p<01), duration since the first information and family history of suicide (p<01). Psychiatric diagnosis had a statistically significant association with the method used (p<01), duration of preoccupation (p<01), preparedness (p<01) and emotional state during the attempt (p<01). A statistically significant negative correlation was found between the source of the first information and education (p<01), any psychiatric diagnosis and duration since the first death wish (p<01). On the score of perception about suicide prevention, a significant group difference was observed for marital status, occupation, medical diagnosis, opinion about an attempt, duration since the decision to attempt, and emotional control during the attempt.
Conclusion: Based on the findings, it can be concluded that perception of suicide prevention may vary with the process of suicide attempts and demographic characteristics.
A study of drug attitude and medication adherence and its relationship with the impact of illness among the mentally ill
No full textBackground: Impact of illness may vary with the medication adherence which in turn may vary with the attitude towards drugs. There is a paucity of research examining relationships between these variables. Objective: To study the levels of drug attitude, adherence and its relationship with the impact of illness. Methods: A total of 279 participants with mental illness in remission were assessed with socio-demographic and clinical proforma, scales like Hogan Drug Attitude Inventory (DAI), Impact of Illness Scale (IIS), and Morisky Medication Adherence Scale (MMAS) were used. Results: Mean score on DAI, IIS, and MMAS were 2.38 (SD = 4.6), 25.88 (SD = 6.6), and 5.04 (SD = 2.2) respectively. On linear regression analysis (R2 = .122, DF = 2, F = 17.598, p < .001) IIS Score was statistically significant but negatively associated with the score of MMAS (p < .05) and DAI (p < .05). Discussion: Impact of illness has an inverse relationship with the level of drug attitude and medication adherence. Improving drug attitude and adherence may buffer the impact of illness
Mentally ill caregivers: Reverse burden of care and its relationship with medication adherence among women in India - an exploratory study.
No full textPsychopharmacoteratophobia: Excessive Fear of Malformation Associated with Prescribing Psychotropic Drugs During Pregnancy: An Indian Perspective
No full textLevel of paranormal beliefs and its relationship with explanatory models, treatment adherence and satisfaction
No full textAbstract Background Paranormal beliefs are common among patients with mental illness. Such beliefs may mediate conceptualization of illness, treatment satisfaction and medication adherence. Objective To study the level of paranormal beliefs and its relationship with explanatory models, treatment adherence and satisfaction using standardized assessment tool. Methods Eighty nine patients with mental illness in remission were assessed with Sociodemographic proforma, Revised Paranormal Belief Scale (RPBS), Mental Distress Explanatory Model Questionnaire (MMAS), Morisky Medication Adherence Scale (MMAS) and Short Assessment of Patient Satisfaction (SAPS). Results Results revealed a high level of paranormal beliefs on RPBS (Mean 83.96, SD ± 23.91). Variables that had a statistically significant group difference on the score of RPBS were domicile status (p </div
Comparison of Pocket Pulse Oximeter and Standard Pulse Oximeter With ABG Analysis in Critically Ill Patients
No full textBackground: Pulse oximetry (SpO2) is a standard monitoring device in patients presenting to EMDs and intensive care units (ICUs). Pocket pulse oximeters (PPOs) are used widely in wards, EMDs, and small hospitals/clinics. These inexpensive PPOs also guide therapeutic interventions. Few studies have evaluated the accuracy of SpO2 in patients presenting to critical care areas vis-à-vis devices like PPO and standard pulse oximeter (SPO). This study becomes extremely relevant in view of the ongoing crisis of the COVID-19 pandemic wherein SpO2 monitoring is very important in hospitals, quarantine centers, small clinics, or even at home.
Methods: Patients presenting to critical areas who underwent arterial blood gases (ABG) analysis on the recommendation of the treating physician between November 2016 and October 2018 were included in this study. Along with the ABG analysis, a simultaneous assessment of SpO2 was done with a single PPO and SPO and all values were noted. Statistical analysis was done using the SPSS v.21.0 for Windows.
Results: The study included 300 patients. We compared the O2 saturations of ABG, SPO, and PPO with respect to sex, different age groups, and at different levels of ABG pCO2, HCO3, and pH in all patients. All parameters were compared using the Pearson’s correlation test; the results showed that ABG O2 saturations were closer to the SPO than the PPO but the differences were not statistically significant as the Pearson’s correlation values for all parameters were >0.8. We also compared the parameters by Bland Altman Plot and all observations were outside 95% CI (confidence interval), which means that there was a good agreement between O2 saturations by all three methods, that is, ABG, SPO, and PPO; however, ABG O2 saturations were closer to SPO than PPO but this difference was not statistically significant. Hence, we conclude that the PPO is a useful tool for reliable monitoring of O2 saturations.
Conclusion: This study highlights that inexpensive and noninvasive PPO can be used as a standard monitoring device with reliability in critically ill patients presenting to EMDs, ICUs, and small hospitals/clinics, quarantine centers, and even at home
