CHANGING NURSING CARE TIME AS AN EFFECT OF CHANGED CHARACTERISTICS OF THE DIALYSIS POPULATION.

BACKGROUND: The population of dialysis patients is ageing. Dialysis nurses are confronted with geriatric patients with multiple comorbidities. Nurses are confronted with an increasing burden of care. OBJECTIVES: The present study focused on the question of whether, over time, the increasing age and comorbidities of the haemodialysis population increased nursing care time. Furthermore, we studied potential changes in the predictors of the required nursing time. DESIGN: Observational study. PARTICIPANTS: A total of 980 dialysis patients from 12 dialysis centres were included. MEASUREMENTS: Nurses filled out the classification tool for each patient and completed a form for reporting patient characteristics for groups of relevant haemodialysis patients at baseline and after 1 and four years. Changes in patient and dialysis characteristics were analysed, as well as the estimated nursing care time needed. RESULTS: An increase in the nursing time needed for dialysis was largely due to decreased mobility, closing of the vascular access and a greater need for psychosocial attention and was most strongly present in incident dialysis patients. The time needed for dialysis decreased as patient participation increased and vascular access changed from catheters to fistulae. Over the four-year period, the average overall needed nursing care time per haemodialysis session did not change. CONCLUSIONS: Our study shows that the average nursing time needed per patient did not change in the four-year observation period. However, more time is required for incident patients; thus, if a centre has high patient turnover, more nursing care time is needed.

Differences in care burden of patients undergoing dialysis in different centres in the netherlands.

BACKGROUND: A classification model was developed to simplify planning of personnel at dialysis centres. This model predicted the care burden based on dialysis characteristics. However, patient characteristics and different dialysis centre categories might also influence the amount of care time required. OBJECTIVE: To determine if there is a difference in care burden between different categories of dialysis centres and if specific patient characteristics predict nursing time needed for patient treatment. DESIGN: An observational study. PARTICIPANTS: Two hundred and forty-two patients from 12 dialysis centres. MEASUREMENTS: In 12 dialysis centres, nurses filled out the classification list per patient and completed a form with patient characteristics. Nephrologists filled out the Charlson Comorbidity Index. Independent observers clocked the time nurses spent on separate steps of the dialysis for each patient. Dialysis centres were categorised into four types. Data were analysed using regression models. RESULTS: In contrast to other dialysis centres, academic centres needed 14 minutes more care time per patient per dialysis treatment than predicted in the classification model. No patient characteristics were found that influenced this difference. The only patient characteristic that predicted the time required was gender, with more time required to treat women. Gender did not affect the difference between measured and predicted care time. CONCLUSION: Differences in care burden were observed between academic and other centres, with more time required for treatment in academic centres. Contribution of patient characteristics to the time difference was minimal. The only patient characteristics that predicted care time were previous transplantation, which reduced the time required, and gender, with women requiring more care time.

Prediction of care burden of patients undergoing haemodialysis: development of a measuring tool.

BACKGROUND: The ageing of the population and new options for therapy have led to an increase in the number of patients undergoing dialysis. Rising costs in health care and new financial structures impose funding constraints on dialysis departments and force the departments to deploy nurses more efficiently. Therefore, predicting the nursing time spent on the care of patients is important. OBJECTIVE: Development of a classification tool to predict the burden of nursing care of patients undergoing dialysis. DESIGN: Observational study. PARTICIPANTS: 242 patients on dialysis in 12 centres. MEASUREMENTS: The time spent on nursing care within predefined areas, including patient independence, vascular access, psychosocial support, dialysis complexity, communication and specific nursing actions, was measured by observers. Average times and their standard deviations (SD) were calculated. Variation of patient characteristics was analysed. RESULTS: The average care time required for the four routine investigated domains, namely independence, vascular access, psychosocial support and dialysis complexity, was 59.23 (SD = 24.30) minutes per treatment per patient. CONCLUSION: Our study shows that it is possible to predict the burden of nursing care of patients undergoing dialysis by means of a classification model.