Insights from home parenteral nutrition infusion data

OBJECTIVE

Patients with chronic intestinal failure use home parenteral nutrition infusion support. Non-compliance of home parenteral nutrition treatment is well documented, especially if clinical resources are remote. Objective delivery data from Infusion Pump reports have the potential to support treatment progress and planning. The aim of this study was to report the efficacy and accuracy of the Eitan Insights digital health platform for home parenteral nutrition use (a platform providing data-driven insights from the pump-recorded data).

METHODS

A prospective, single-center observational study of 20 patients treated with home parenteral nutrition ≥3 d/wk was conducted over 2022. The patients recorded the pre- and postinfusion home parenteral nutrition bag weight, duration of infusion, and alarms. We compared manual records to the pump data. Repeated measures analysis of variance was used for statistical analysis.

RESULTS

A total of 45 data sets were collected, with no adverse events noted. In multiple comparisons between patient factors and descriptive statistics, there was no significant difference between manually recorded and pump-recorded data for volume infused (mean values of manual versus pump were 1707 ± 362 mL and 1708 ± 405 mL; P = 0.939) and infusion duration (mean values of manual versus pump iwere 9h 43 min ± 2.48 SD versus 9h 45 min ± 2.41 SD; P = 0.858).

CONCLUSION

The data collected by the digital platform accurately reflect patients' infusion data. This connected device has the potential to allow clinicians to be more informed and assess treatment trends and proactive resource planning through the Infusion Pump data insights.

Dose error reduction software in medication safety risk management - optimising the smart infusion pump dosing limits in neonatal intensive care unit prior to implementation

Background

Smart infusion pumps with dose error reduction software can be used to prevent harmful medication errors. The aim of this study was to develop a method for defining and assessing optimal dosing limits in a neonatal intensive care unit’s smart infusion pump drug library by using simulation-type test cases developed based on medication error reports.

Methods

This mixed-methods study applied both qualitative and quantitative methods. First, wrong infusion rate-related medication errors reported in the neonatal intensive care unit during 2018–2019 were explored by quantitative descriptive analysis and qualitative content analysis to identify the error mechanisms. The researchers developed simulation-type test cases with potential errors, and a literature-based calculation formula was used to set upper soft limits to the drug library. The limits were evaluated by conducting programming of pumps without errors and with potential errors for two imaginary test patients (1 kg and 3.5 kg).

Results

Of all medication errors reported in the neonatal intensive care unit, 3.5% (n = 21/601) involved an error or near-miss related to wrong infusion rate. Based on the identified error mechanisms, 2-, 5-, and 10-fold infusion rates, as well as mix-ups between infusion rates of different drugs, were established as test cases. When conducting the pump programming for the test cases (n = 226), no alerts were triggered with infusion rates responding to the usual dosages (n = 32). 73% (n = 70/96) of the erroneous 2-, 5-, and 10-fold infusion rates caused an alert. Mix-ups between infusion rates triggered an alert only in 24% (n = 24/98) of the test cases.

Conclusions

Simulation-type test cases can be applied to assess the appropriateness of dosing limits within the neonatal intensive care unit’s drug library. In developing the test cases, combining hospital’s medication error data to other prospective data collection methods is recommended to gain a comprehensive understanding on mechanisms of wrong infusion rate errors. After drug library implementation, the alert log data and drug library compliance should be studied to verify suitability of dosing limits.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12887-022-03183-8.

Usability of smart infusion pumps: A heuristic evaluation

Although smart infusion pumps were built to eliminate medication errors, new types of usability errors have arisen. The purposes of this study were to determine potential risks when using smart pumps during secondary medication administration and to identify opportunities for design improvements. We observed and analyzed nurses when they interacted with smart pumps and heuristically evaluated the smart pump to identify usability problems. Forty-three usability problems were identified with the smart pump. The usability problems have the potential to create high cognitive burden on nurses and to increase the likelihood of mistakes. We discuss design and process improvement recommendations for each major finding from this study.