nursing cost
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2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Regan N. Theiler ◽  
Yvonne Butler-Tobah ◽  
Matthew A. Hathcock ◽  
Abimbola Famuyide

Abstract Background Traditional prenatal care includes up to 13 in person office visits, and the cost of this care is not well-described. Alternative models are being explored to better meet the needs of patients and providers. OB Nest is a telemedicine-enhanced program with a reduced frequency of in-person prenatal visits. The cost implications of connected care services added to prenatal care packages are unclear. Methods Using data from the OB Nest randomized, controlled trial we analyzed the provider and staff time associated with prenatal care in the traditional and OB Nest models. Fewer visits were required for OB Nest, but given the compensatory increase in connected care activity and supplies, the actual cost difference is not known. Nursing and provider staff time was prospectively recorded for all patients enrolled in the OB Nest clinical trial. Published 2015 national wages for healthcare workers were used to calculate the actual labor cost of providing either traditional or OB Nest prenatal care in 2015 US dollars. Overhead expenses and opportunity costs were not considered. Results Total provider cost was decreased caring for the OB Nest participants, but nursing cost was increased. OB Nest care required an average of 160.8 (+/− 45.0) minutes provider time and 237 (+/− 25.1) minutes nursing time, compared to 215.0 (+/− 71.6) and 99.6 (+/− 29.7) minutes for traditional prenatal care (P < 0.01). This translated into decreased provider cost and increased nursing cost (P < 0.01). Supply costs increased, travel costs declined, and overhead costs declined in the OB Nest model. Conclusions In this trial, labor cost for OB Nest prenatal care was 34% higher than for traditional prenatal care. The increased cost is largely attributable to additional nursing connected care time, and in some practice settings may be offset by decreased overhead costs and increased provider billing opportunities. Future efforts will be focused on development of digital solutions for some routine nursing tasks to decrease the overall cost of the model. Trial registrations ClinicalTrials.gov Identifier: NCT02082275.


2020 ◽  
Author(s):  
Regan Theiler ◽  
Yvonne Butler Tobah ◽  
Matthew Hathcock ◽  
Abimbola Famuyide

Abstract BackgroundTraditional prenatal care includes up to 13 in person office visits, and the cost of this care is not well-described. Alternative models are being explored to better meet the needs of patients and providers. OB Nest is a telemedicine-enhanced program with a reduced frequency of in-person prenatal visits. The cost implications of connected care services added to prenatal care packages are unclear.MethodsUsing data from the OB Nest randomized, controlled trial we analyzed the provider and staff time associated with prenatal care in the traditional and OB Nest models. Fewer visits were required for OB Nest, but given the compensatory increase in connected care activity and supplies, the actual cost difference is not known.Nursing and provider staff time was prospectively recorded for all patients enrolled in the OB Nest clinical trial. Published 2015 national wages for healthcare workers were used to calculate the actual labor cost of providing either traditional or OB Nest prenatal care in 2015 US dollars. Overhead expenses and opportunity costs were not considered.ResultsTotal provider cost was decreased caring for the OB Nest participants, but nursing cost was increased. OB Nest care required an average of 160.8 (+/- 45.0) minutes provider time and 87.8 (+/- 25.1) minutes nursing time, compared to 215.0 (+/- 71.6) and 99.6 (+/- 29.7) minutes for traditional prenatal care (P<0.01). This translated into decreased provider cost and increased nursing cost (P<0.01). Supply costs increased, travel costs declined, and overhead costs declined in the OB Nest model. ConclusionsIn this trial, labor cost for OB Nest prenatal care was 34% higher than for traditional prenatal care. The increased cost is largely attributable to additional nursing connected care time, and in some practice settings may be offset by decreased overhead costs and increased provider billing opportunities. Future efforts will be focused on development of digital solutions for some routine nursing tasks to decrease the overall cost of the model. Trial Registrations: ClinicalTrials.gov Identifier: NCT02082275


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Nor Haty Hassan ◽  
Syed Mohamed Aljunid ◽  
Amrizal Muhammad Nur

Abstract Background The current healthcare sector consists of diverse services to accommodate the high demands and expectations of the users. Nursing plays a major role in catering to these demands and expectations, but nursing costs and service weights are underestimated. Therefore, this study aimed to estimate the nursing costs and service weights as well as identify the factors that influence these costs. Methods A retrospective cross-sectional descriptive study was conducted at Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using 85,042 hospital discharges from 2009 to 2012. A casemix costing method using the step-down approach was used to derive the nursing costs and service weights. The cost analysis was performed using the hospital data obtained from five departments of the UKMMC: Finance, Human Resource, Nursing Management, Maintenance and Medical Information. The costing data were trimmed using a low trim point and high trim point (L3H3) method. Results The highest nursing cost and service weights for medical cases were from F-4-13-II (bipolar disorders including mania - moderate, RM6,129; 4.9871). The highest nursing cost and service weights for surgical cases were from G-1-11-III (ventricular shunt - major, RM9,694; 7.8880). In obstetrics and gynaecology (O&G), the highest nursing cost and service weights were from O-6-10-III (caesarean section - major, RM2,515; 2.0467). Finally, the highest nursing cost and service weights for paediatric were from P-8-08-II (neonate birthweight > 2499 g with respiratory distress syndrome congenital pneumonia - moderate, RM1,300; 1.0582). Multiple linear regression analysis showed that nursing hours were significantly related to the following factors: length of stay (β = 7.6, p < 0.05), adult (β = − 6.0, p < 0.05), severity level I (β = − 3.2, p < 0.05), severity level III (β = 7.3, p < 0.05), male gender (β = − 4.2, p < 0.05), and the elderly (β = − 0.5, p < 0.05). Conclusions The results showed that nursing cost and service weights were higher in surgical cases compared to other disciplines such as medical, O&G and paediatric. This is possible as there are significant differences in the nursing activities and work processes between wards and specialities.


2020 ◽  
Author(s):  
Ying-hong Chu ◽  
Gui-hua Jiang ◽  
Hong Zhang ◽  
Xiao-rong Luan

Abstract Background Acute myocardial infarction is still a burden on Chinese patients. Whether different medical insurance system have any influence on the hospitalization cost and therapeutic effect of acute myocardial infarction patient needs further investigation. Methods In this study, 600 patients were stratified by health insurance status to investigate the cost effectiveness. Results Compared with free medical care, patients with other health insurance status have a significantly lower age (P ˂ 0.05~0.001), the youngest of which is new rural cooperative medical system. The hospital expense, nursing fee, length of stay, daily hospitalization cost, daily drug cost, daily nursing cost and percent of nursing cost of different health insurance status were statistically significant. ANCOVA analyses controlling for age showed that the differences of hospital expenses, nursing fee, length of stay and daily hospitalization cost were still statistically significant. Further studies found that health insurance status was the leading factors influencing length of stay (β =-0.305, P=0.0000001), nursing costs (β =-0.319, P=0.004), daily hospitalization costs (β =0.296, P=0.0001) and occurrence of clinical events (β =-0.186, OR=0.830, 95%CI 0.694-0.993, P=0.041). Conclusions The hospitalization cost, length of stay, nursing work and therapeutic effect of acute myocardial infarction patients are affected by different health insurance status and age.


2020 ◽  
Author(s):  
Ying-hong Chu ◽  
Gui-hua Jiang ◽  
Hong Zhang ◽  
Xiao-rong Luan

Abstract Background Acute myocardial infarction is still a burden on Chinese patients. Whether different medical insurance system have any influence on the hospitalization cost and therapeutic effect of acute myocardial infarction patient needs further investigation. Methods In this study, 600 patients were stratified by health insurance status to investigate the cost effectiveness. Results Compared with free medical care, patients with other health insurance status have a significantly lower age (P ˂ 0.05~0.001), the youngest of which is new rural cooperative medical system. The hospital expense, nursing fee, length of stay, daily hospitalization cost, daily drug cost, daily nursing cost and percent of nursing cost of different health insurance status were statistically significant. ANCOVA analyses controlling for age showed that the differences of hospital expenses, nursing fee, length of stay and daily hospitalization cost were still statistically significant. Further studies found that health insurance status was the leading factors influencing length of stay (β =-0.305, P=0.0000001), nursing costs (β =-0.319, P=0.004), daily hospitalization costs (β =0.296, P=0.0001) and occurrence of clinical events (β =-0.186, OR=0.830, 95%CI 0.694-0.993, P=0.041). Conclusions The hospitalization cost, length of stay, nursing work and therapeutic effect of acute myocardial infarction patients are affected by different health insurance status and age.


2017 ◽  
Vol 23 (6) ◽  
pp. 422-430 ◽  
Author(s):  
Patrick Triplett ◽  
Sandra Dearholt ◽  
Mary Cooper ◽  
John Herzke ◽  
Erin Johnson ◽  
...  

BACKGROUND: Rising acuity levels in inpatient settings have led to growing reliance on observers and increased the cost of care. OBJECTIVES: Minimizing use of observers, maintaining quality and safety of care, and improving bed access, without increasing cost. DESIGN: Nursing staff on two inpatient psychiatric units at an academic medical center pilot-tested the use of a “milieu manager” to address rising patient acuity and growing reliance on observers. Nursing cost, occupancy, discharge volume, unit closures, observer expense, and incremental nursing costs were tracked. Staff satisfaction and reported patient behavioral/safety events were assessed. RESULTS: The pilot initiatives ran for 8 months. Unit/bed closures fell to zero on both units. Occupancy, patient days, and discharges increased. Incremental nursing cost was offset by reduction in observer expense and by revenue from increases in occupancy and patient days. Staff work satisfaction improved and measures of patient safety were unchanged. CONCLUSIONS: The intervention was effective in reducing observation expense and improved occupancy and patient days while maintaining patient safety, representing a cost-effective and safe approach for management of acuity on inpatient psychiatric units.


Author(s):  
Sook Bin Im ◽  
Whasoon Chang ◽  
Moon Hee Ko ◽  
Youngsuk Park ◽  
Eun-Kyung Kim

Author(s):  
Chuan-Fen Liu ◽  
Nancy D. Sharp ◽  
Anne E. Sales ◽  
Elliott Lowy ◽  
Matthew L. Maciejewski ◽  
...  

There is little empirical evidence evaluating the effects of recent, widespread changes in nurse executive roles and nursing management structures on the costs of patient care. This retrospective cross-sectional study examined the relationship between line authority for nurse staffing and patient care costs (total, nursing, and non-nursing cost) using data from 124 Department of Veterans Affairs (VA) medical centers. After controlling for patient, facility, and market characteristics, nursing line authority was significantly associated with lower nursing cost per admission. Our results provide some evidence that a reduction in nursing line authority may adversely impact nursing costs.


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