to compare the level of patient satisfaction based on their socio-demographic characteristics in tertiary care institutes. This study was conducted at Nishtar Hospital after getting ethical approval from ERC. It was conducted from January 05, 2023, to May 05, 2023, between patients 20-50 years of age who had been admitted to the hospital for at least five days, and both genders were included. Disoriented patients or those who refused to participate were excluded from this study. Data was collected using PSNCQQ, a 19-emit questionnaire with 5 responses of each item from poor to fair, good, very good, and excellent. Then comparison was made between the socio-demographic and PSNCQQ total score. SPSS version.21 was employed for this purpose. Descriptive statistics were depicted in frequencies (%ages), mean & SD. The level of significance was <0.05. This study revealed no significant difference between patient’s age, gender & marital status, and level of satisfaction with quality care provided by nurses (p>0.05). But the nature of the patient's ward revealed a significant difference with p<0.05 and their satisfaction level with nursing care. It was concluded that the nature of the ward only affects the level of patient satisfaction by the nursing care they receive. And age, gender, and marital status do not affect their satisfaction level.
Marital status is one of the main Indicator of stress which affects the occupational tasks of healthcare workers in Pakistan. Objective: To find out the relationship among marital status, PSS and WRQoL due to which the occupational tasks in HCWs suffer. Methods: This study was an observational type of cross-sectional survey. 50 HCWs were include between the age of 20-40 who had no comorbid conditions. After taking approval from ERC of RIHS the study was conducted at Rawal Institute of Health Sciences and Holy Family Hospital, Rawalpindi from June 2022 to Jan 30, 2023. Two groups were formulated on the basis of marital status of participants. Single HCWs were included in Group A (n=19) whereas married in group B (n=31). Man, Whitney U test for between groups analysis was carried out to find the relationship among marital status, PSS and WRQoL. Level of significance was <0.05 and CI=95%. Results: Mean and Standard deviation of age in group A was 29.53 ± 7.28 and in group B it was 30.39 ± 6.09. Man, Whitney U test showed insignificant difference (p>0.05) between PSS and marital status but there was a significant difference (p<0.05) on WRQoL on the basis of marital status. Conclusions: It was concluded that married HCWs had low QoL as compared to single workers. But level of stress was also high in married workers on the basis of percentages.
This study aimed to evaluate the prevalence of absenteeism in nursing colleges and identify the factors leading to it. A cross-sectional descriptive study was conducted in the Nursing Department of Nishtar Medical University, Multan, from December 2022 to February 2023. A total of 130 female BSN nursing students were included in the study. The students were instructed to fill out a questionnaire designed using the Likert scale. The questionnaire included a set of multiple-choice questions which could be answered by selecting strongly agreed, partially agreed, partially agreed, neutral, partially disagreed, or strongly disagree. The participants were aged from 18 years to 28 years. 41% agreed to be absent from classes and clinical postings, indicating a high frequency of absenteeism. Among the factors influencing absenteeism, 52 participants (40%) agreed that the lack of resources for transport to college was the major cause of absenteeism. A high prevalence of absenteeism is observed among nursing students, with a lack of transportation facilities being the major issue.
This prospective study was conducted in three hospitals of Multan: Nishtar Hospital, Children Hospital, and Institute of Child Health and Institute of Cardiology from July 2022 to July 2023 to analyze the prevalence of turnover intention and factors contributing to it among emergency nurses working in a government hospital. Three hundred twenty-two nurses were taken as sampling subjects using a simple random sampling technique. Participants were given questionnaires that included details about demographics, work-related factors, and turnover intention. Results show that higher education, long work tenure, working in shifts, and workplace violence were associated with a higher likelihood of leaving among emergency nurses who were female and aged > 19 and 25 years. According to analysis, nearly half of emergency nurses intend to leave their jobs at some point in the future. To avoid staff shortages that would restrict the availability of emergency medical services, targeted interventions are needed.
Introduction: Bias means an unreasoned and unfair distortion of judgment in favour of or against a person or thing. It is the evaluation of something or someone that can be positive or negative, and implicit or unconscious bias is when the person is unaware of their evaluation. Unconscious or implicit bias describes associations or attitudes that reflexively alter our perceptions, there by affecting behaviour, interaction, and decision-making Methods: This study qualitative cross-sectional study design is used. Implicit Assessment Tool (IAT) used to assess the age Implicit, Religion Implicit and Skin tone Implicit among nurses. The data was analysed by SPSS version-18 & Microsoft Excel. Out of 100 respondent 23% showed a strong automatic preference for light skin compared to dark skin people in Skin-tone IAT. Results: Out 0f 100 just 2% showed strong automatic preference for dark skin as compared to light skin people. During the Religion IAT out of 100 respondents just 1% nurses showed a strong preference for Judaism compared to Islam. 96.0% showed strong automatic preferences for Islam compared to Judaism. 29 % respondents showed a strong automatic preference for Islam compared to Christianity. While 2% participants showed a strong preference for Christianity compared to Islam. In Age implicit assessment test 30% nurses showed strong automatic preference for young people to old people. Just 1 % nurses showed strong automatic preference for old people compared to young people. 30 % nurses showed moderate level of automatic preferences for young people as compared to old people, while just 2 % have moderate automatic preference for old people as compared to young people. Conclusion: This study concluded that Nurses have a strong automatic preference towards their own religion so that they prefer Muslim patients unconsciously rather than the other religion. This study also reveal that during giving care nurses have strong automatic preference to young people and light skinned people as compared to dark skinned and old people.
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