Implementation of a Web-based medication tracking system in a large academic medical center

Calabrese, Sam V.; Williams, Jonathan

doi:10.2146/ajhp110527

Cited by 11 publications

(16 citation statements)

References 5 publications

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“…This is particularly important if the tool being validated is theoretically novel, which is directly relevant to the validation of the CPWC and this has been demonstrated in several ways. Many of the timings that drive the algorithm of the CPWC have construct validity in comparison with the literature [27][28][29][30][31][32]. This is particularly relevant for medicines reconciliation (MR), which is the single longest task that needs to be completed for pharmaceutical care.…”

Section: Discussionmentioning

confidence: 99%

Validation of a Hospital Clinical Pharmacy Workforce Calculator: A methodology for Pharmacy?

Bednall

White

Mills

et al. 2020

Preprint

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Background The benefits of hospital clinical pharmacy services are well established, though staff numbers required for its delivery have not been well described, leading to variation in pharmacy staffing between hospitals. The need to identify a consistent, objective method of determining staffing levels was recognised at a UK University Hospital and a Clinical Pharmacy Workforce Calculator (CPWC) was developed. Objective To report on the validation of the CPWC across acute hospital settings in Great Britain. Method Using the World Health Organisation's Workload Indicators of Staffing Need (WISN) methodology, a two-round Delphi consensus study with an Expert Panel of UK hospital pharmacy managers was undertaken to develop the Activity Standard for pharmaceutical care and to identify the time unavailable for clinical work inherent in employing staff. Consenting Panel members then tested the CPWC by calculating the staff resource required for three staffing scenarios to determine whether it could be reliably used by different operators. Results Thirty-six participants consented to participate, and data was returned from 22 participants (61%) of whom 20 (56%) supplied analysable data. Consensus was achieved on the tasks required for pharmaceutical care delivery, the mean time each takes, the frequency of completion and the unavailable time in the employment of each grade of staff identified. The CPWC uses this data in an algorithm to calculate staffing requirements. Eleven participants (55%) tested the CPWC and analysis of their responses showed that 31 of 33 (94%) calculations were accurately completed using the CPWC. Conclusion This study has defined the WISN Activity Standard for pharmaceutical care delivery to hospital inpatients and validated the CPWC for acute medical and surgical hospital settings. The CPWC offers hospital pharmacy managers a useful tool to negotiate adequate staffing to deliver pharmaceutical care and its development methodology could be applied widely in pharmacy practice internationally.

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Section: Discussionmentioning

confidence: 99%

Validation of a Hospital Clinical Pharmacy Workforce Calculator: A methodology for Pharmacy?

Bednall

White

Mills

et al. 2020

Preprint

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“…1 Published evidence regarding MDTT is limited to the area of medication distribution process improvement. 3,4 One published report described the use of MDTT in a large academic medical center to identify areas of delay in its processes. 3 They were able to make targeted adjustments resulting in a reduction in mean medication turnaround time from 74 to 66 minutes.…”

Section: Impact Of Medication Dose Tracking Technology On Nursing Pramentioning

confidence: 99%

“…3,4 One published report described the use of MDTT in a large academic medical center to identify areas of delay in its processes. 3 They were able to make targeted adjustments resulting in a reduction in mean medication turnaround time from 74 to 66 minutes. 3 In contrast, the objectives of our study included the following: to investigate whether nursing access to MDTT impacts the frequency of nursing communications to pharmacy staff related to missing doses, to quantify pharmacy labor costs associated with processing of technician in-basket medication requests, and to evaluate changes in nursing satisfaction.…”

Section: Impact Of Medication Dose Tracking Technology On Nursing Pramentioning

confidence: 99%

“…3 They were able to make targeted adjustments resulting in a reduction in mean medication turnaround time from 74 to 66 minutes. 3 In contrast, the objectives of our study included the following: to investigate whether nursing access to MDTT impacts the frequency of nursing communications to pharmacy staff related to missing doses, to quantify pharmacy labor costs associated with processing of technician in-basket medication requests, and to evaluate changes in nursing satisfaction. This study seeks to fill a void in the current literature by evaluating the impact of providing nurses with access to an MDTT web portal.…”

Section: Impact Of Medication Dose Tracking Technology On Nursing Pramentioning

confidence: 99%

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Impact of Medication Dose Tracking Technology on Nursing Practice

2016

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The impact of providing nursing staff access to data collected through a medication dose tracking technology (MDTT) web portal was investigated. A quasi-experimental, nonrandomized, pre-post intervention study was conducted in the Cardiothoracic Intensive Care Unit (CTICU) at Duke University Hospital. The change in the number of medication requests per dispense routed to the pharmacy electronic health record (EHR) in-basket was analyzed pre and post web portal access. Other endpoints included the number of MDTT web portal queries per day by nursing staff, change in nursing satisfaction survey scores, and technician time associated with processing medication requests pre and post web portal access. The pre web portal access phase of the study occurred from June 1, 2014 to August 31, 2014. The post web portal access phase occurred from October 1, 2014 to December 31, 2014. An 11.4% decrease in the number of medication requests per dispense was exhibited between the pre and post web portal access phases of the study (0.0579 vs 0.0513, respectively; < .001). Pre and post surveys showed a significant improvement in nurses' satisfaction regarding access to information on the location of medications ( = .009). Additionally, CTICU nursing staff utilized the MDTT web portal for 3.21 queries per day from October 1, 2014 to December 31, 2014. Providing nurses access to data collected via an MDTT decreased the number of communications between nursing and pharmacy staff regarding medication availability and led to statistically significant improvements in nursing satisfaction for certain aspects of the medication distribution process.

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“…3,4 A single study by Calabrese and colleagues investigated the use of an electronic tracking system on pharmacy turnaround times and organizational structure. 5 In this article, we describe findings that further this work by understanding the impact of the technology on drug expense and pharmacy workload.…”

mentioning

confidence: 92%

Impact of Mobile Dose-Tracking Technology on Medication Distribution at an Academic Medical Center

Kelm

Campbell

2016

Hosp Pharm

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Background: Medication dose-tracking technologies have the potential to improve efficiency and reduce costs associated with re-dispensing doses reported as missing. Data describing this technology and its impact on the medication use process are limited. Objective: The purpose of this study is to assess the impact of dose-tracking technology on pharmacy workload and drug expense at an academic, acute care medical center. Methods: Dose-tracking technology was implemented in June 2014. Pre-implementation data were collected from February to April 2014. Post-implementation data were collected from July to September 2014. The primary endpoint was the percent of re-dispensed oral syringe and compounded sterile product (CSP) doses within the pre-and post-implementation periods per 1,000 discharges. Secondary endpoints included pharmaceutical expense generated from redispensing doses, labor costs, and staff satisfaction with the medication distribution process. Results: We observed an average 6% decrease in re-dispensing of oral syringe and CSP doses from pre-to post-implementation (15,440 vs 14,547 doses; p = .047). However, when values were adjusted per 1,000 discharges, this trend did not reach statistical significance (p = .074). Pharmaceutical expense generated from re-dispensing doses was significantly reduced from pre-to postimplementation ($834,830 vs $746,466 [savings of $88,364]; p = .047). We estimated that $2,563 worth of technician labor was avoided in re-dispensing missing doses. We also saw significant improvement in staff perception of technology assisting in reducing missing doses (p = .0003), as well as improvement in effectiveness of resolving or minimizing missing doses (p = .01). Conclusion:The use of mobile dose-tracking technology demonstrated meaningful reductions in both the number of doses re-dispensed and cost of pharmaceuticals dispensed.

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Implementation of a Web-based medication tracking system in a large academic medical center

Cited by 11 publications

References 5 publications

Validation of a Hospital Clinical Pharmacy Workforce Calculator: A methodology for Pharmacy?

Validation of a Hospital Clinical Pharmacy Workforce Calculator: A methodology for Pharmacy?

Impact of Medication Dose Tracking Technology on Nursing Practice

Impact of Mobile Dose-Tracking Technology on Medication Distribution at an Academic Medical Center

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