Nurses' Perceptions regarding Health Care and the Poor

To assess hospital staff nurses' perceptions regarding the poor and their health care a total of 240 nurses were selected from 6 of 8 area hospitals to participate in the study (40 nurses from each institution). of the 240 nurses selected, 192 nurses completed the questionnaire (80% return rate). The majority of the sample believed the poor were caught in a “cycle of poverty” (84%) which implies they believe the poor cannot help being poor. However, some of the nurses in this sample also held “victim blaming” attitudes, i.e., poor women become pregnant to collect welfare (58%), the poor live well on welfare (35%), and a person's poverty is due to advantages squandered (27%). About one-third of the nurses agreed poor patients do not receive equivalent quality of care when compared to nonpoor patients and that transferring patients to another hospital due to an inability to pay was very common. Ten percent agreed assisting the poor in becoming well was a waste of medical care as they would be back again soon with another problem. Over half the sample believed the poor were not likely to engage in preventive health behaviors (66%) nor be compliant with their medical regimens (52%). Such attitudes should be studied to see if they affect communication between the poor and their nurse caregivers.

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Nurses' Perceptions of Themselves, Cancer Nurses, Typical, Ideal and Cancer Patients

Perceptual and Motor Skills ◽

10.2466/pms.1976.43.3f.1083 ◽

1976 ◽

Vol 43 (3_suppl) ◽

pp. 1083-1091 ◽

Cited By ~ 5

Author(s):

Gary R. Morrow ◽

Josephine K. Craytor ◽

Jean Brown ◽

Margot Fass

Keyword(s):

Cancer Patients ◽

Hospital Staff ◽

Staff Nurses ◽

Hospital Staff Nurses ◽

Planning Ability ◽

Hospital Patients ◽

Cancer Specialists ◽

Nurses Perceptions ◽

Cancer Nurses ◽

The Ideal

The Activity Vector Analysis was administered to four independent samples of hospital staff nurses (40 working on surgical floors, 40 on medical floors, 10 cancer specialists, and 10 in an outpatient department) to investigate differences in how nurses perceived themselves versus the type of nurse who works best with cancer patients, as well as differences in the perceptions of typical hospital patients, ideal patients, and cancer patients. Highly congruent stereotype clusters for the perception of the typical patient and cancer patient were found along with two less congruent stereotype clusters of the ideal patient and a stereotype cluster of perceptions of the cancer nurse. Both typical patients and typical cancer patients were seen as significantly below average in terms of their potential for action and were perceived as exercising less foresight, planning ability, moral judgment, and ethical conduct than nurses.

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Sleep Quality among Female Hospital Staff Nurses

Sleep Disorders ◽

10.1155/2013/283490 ◽

2013 ◽

Vol 2013 ◽

pp. 1-6 ◽

Cited By ~ 28

Author(s):

Pei-Li Chien ◽

Hui-Fang Su ◽

Pi-Ching Hsieh ◽

Ruo-Yan Siao ◽

Pei-Ying Ling ◽

...

Keyword(s):

Sleep Quality ◽

Hospital Staff ◽

Staff Nurses ◽

Objective Measures ◽

Poor Sleep ◽

Subjective Sleep Quality ◽

Hospital Staff Nurses ◽

Educational Degree ◽

Northern Taiwan

Purpose. To investigate sleep quality of hospital staff nurses, both by subjective questionnaire and objective measures.Methods. Female staff nurses at a regional teaching hospital in Northern Taiwan were recruited. The Chinese version of the pittsburgh sleep quality index (C-PSQI) was used to assess subjective sleep quality, and an electrocardiogram-based cardiopulmonary coupling (CPC) technique was used to analyze objective sleep stability. Work stress was assessed using questionnaire on medical worker’s stress.Results. A total of 156 staff nurses completed the study. Among the staff nurses, 75.8% (117) had a PSQI score of ≥5 and 39.8% had an inadequate stable sleep ratio on subjective measures. Nurses with a high school or lower educational degree had a much higher risk of sleep disturbance when compared to nurses with a college or higher level degree.Conclusions. Both subjective and objective measures demonstrated that poor sleep quality is a common health problem among hospital staff nurses. More studies are warranted on this important issue to discover possible factors and therefore to develop a systemic strategy to cope with the problem.

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Measuring hospital staff nurses perception on quality of the professional practice environment

Journal of Advanced Nursing ◽

10.1111/jan.13291 ◽

2017 ◽

Vol 73 (10) ◽

pp. 2484-2494 ◽

Cited By ~ 3

Author(s):

Brigitte Johanna Maria De Brouwer ◽

Cheryl Fingal ◽

Lisette Schoonhoven ◽

Marian J. Kaljouw ◽

Theo Van Achterberg

Keyword(s):

Professional Practice ◽

Hospital Staff ◽

Staff Nurses ◽

Practice Environment ◽

Hospital Staff Nurses ◽

Professional Practice Environment

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Occupational Health Hazards of Hospital Staff Nurses

AAOHN Journal ◽

10.1177/216507998903700605 ◽

1989 ◽

Vol 37 (6) ◽

pp. 232-237 ◽

Cited By ~ 12

Author(s):

Pamela Klauer Triolo

Keyword(s):

Occupational Health ◽

Hospital Staff ◽

Staff Nurses ◽

Health Hazards ◽

Hospital Staff Nurses

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Burnout and coping strategies among hospital staff nurses

Journal of Advanced Nursing ◽

10.1111/j.1365-2648.1989.tb01590.x ◽

1989 ◽

Vol 14 (7) ◽

pp. 553-557 ◽

Cited By ~ 71

Author(s):

Sandra Brown Ceslowitz

Keyword(s):

Coping Strategies ◽

Hospital Staff ◽

Staff Nurses ◽

Hospital Staff Nurses ◽

And Coping

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Satisfaction among hospital staff nurses on nurse staffing calculation-performance-oriented calculation based on Indonesian National Nurses Association (INNA) on information system

Malahayati International Journal of Nursing and Health Science ◽

10.33024/minh.v3i2.3366 ◽

2021 ◽

Vol 3 (2) ◽

pp. 124-130

Author(s):

Rani Kawati Damanik ◽

Adventy Riang Bevy Gulo

Keyword(s):

Information System ◽

Intervention Group ◽

Nurse Staffing ◽

Total Sample ◽

Hospital Staff ◽

Staff Nurses ◽

Control Group ◽

Nurse Satisfaction ◽

Hospital Staff Nurses ◽

Post Test

Background: The Indonesian National Nurses Association (INNA) has a method and tool for staffing calculation-performance-oriented calculation based on information systemPurpose: To identify of satisfaction among hospital staff nurses on nurse staffing calculation-performance-oriented calculation based on Indonesian National Nurses Association (INNA) on information systemMethod: The technique of determining the sample using the Cohen effect size (d) formula, the total sample is 30 nurses, divided by two groups, each group comprise 15 nurses the as control group and intervention group 15. The pre-post test done for both groups. The training given to participants for two days and following by measured to identify of satisfaction among hospital staff nurses twice to control and intervention groups using a questionnaire.Results: The Kolmogorov Smirnov normality test and finding the data had abnormally distributed (p <0.05), and following by the Mann Whitney test. The results showed that all the participants showed an increase in nurse satisfaction on nurse staffing calculation-performance-oriented calculation based on Indonesian National Nurses Association (INNA)Conclusion: There is a difference in the level of satisfaction between a control group and an intervention with a range of 4.66 points. Using nurse staffing calculation-performance-oriented calculation based on Indonesian National Nurses Association (INNA) on information system, it applicable and reasonable to nurses to calculate nurse staffing in the hospital.

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Managed care Medicaid

International Journal of Pharmaceutical and Healthcare Marketing ◽

10.1108/ijphm-09-2016-0049 ◽

2017 ◽

Vol 11 (2) ◽

pp. 198-210 ◽

Cited By ~ 1

Author(s):

William Trombetta

Keyword(s):

Health Care ◽

Managed Care ◽

Health Care Delivery ◽

Care Delivery ◽

Care Quality ◽

Market Segment ◽

Economic Aspects ◽

Content Type ◽

The Poor

Purpose Providing health care to the poor is evolving in the new US marketplace. The Affordable Care Act has set goals enhancing access to health care, lowering costs and improving patient outcomes. A key segment in this evolution is the most vulnerable health-care population of all: Medicaid. This paper aims to provide a general review of how providing health care to Medicaid patients is changing including how socio-economic aspects of this vulnerable population affects the quality of the health care provided. Design/methodology/approach The paper is entirely secondary research; no primary research has been conducted. Findings Managed care Medicaid provides a risk-based model to treating a vulnerable health-care market segment. The jury is still out on whether managed care Medicaid (MCM) is improving health-care quality and saving cost, but the provision of health care to the Medicaid segment is definitely shifting from a fee-for-service model to value based payment. Very recent developments of new health-care delivery approaches present a positive outlook for improving quality and containing costs going forward. Research limitations/implications At this stage, whether or not MCM saves money or provides better health-care quality to this vulnerable population is a work in progress. Health-care marketing can impact socio-economic aspects of health care for the poor. There is a need to follow up on the positive results being documented in demonstration health-care delivery models. Practical implications At this point, there has been no long-term study of whether managed care Medicaid offers better quality of health care and cost savings. The research to date suggest that the quality of health-care delivery to the poor is improving at a lower cost to payers. Social implications Medicaid patients are an underserved market segment. Managed care Medicaid offers a new model that has the potential to provide quality care at acceptable cost. Critical to this vulnerable market segment is the need to integrate socio-economic aspects of the population with the delivery of health care. Originality/value There has been very little discussion of Medicaid overall in the marketing literature, much less any discussion of managed care Medicaid.

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