Influence of inventory management practices on the availability of emergency obstetric drugs in Rwandan public hospitals: a case of Rwanda Southern Province.

BACKGROUND: Stock-outs of some life-saving drugs, such as emergency obstetric drugs, are evident in many health facilities and have been reported to be the leading cause of maternal mortality and morbidity for women from low and middle income countries (LMICs). For many cases, this situation is associated with poor inventory management practices. The aim of this study was to investigate the influence of inventory management practices on the availability of emergency obstetric drugs in Rwandan public hospitals: case of the Rwanda Southern Province. Moreover, to gain a better grasp of the problem and to suggest possible areas for improvement. METHODS: An institutional-based cross-sectional study was carried out in all ten district hospitals (DHs) providing maternal health care and dispensing emergency obstetric drugs namely; Kigeme DH, Munini DH, Kabutare DH, Kibilizi DH, Gakoma DH, Nyanza DH, Ruhango DH, Gitwe DH, Kabgayi DH and Remera Rukoma DH. Both quantitative and qualitative data were collected and analyzed. Oxytocin injection, Misoprostol tablet and Magnesium sulphate injection as recommended emergency obstetric drugs by WHO, UNFPA and Rwanda Essential Medicines list were included in the study. RESULTS: The study revealed that keeping logistics management tools up to date is the backbone of inventory management practices in the availability of medicines and medical supplies. The results showed that hospitals with up-to-date logistics tools for their pharmaceutical management were 33.25 times more likely to have their emergency obstetric drugs in stock at all times compared to those that do not regularly update their logistics tools. The proper use of bin cards and electronic software (e-LMIS) contributed greatly to reducing the stock-out rate of emergency obstetric drugs by 89.9% and reduction of unusable to usable stock ratio by appropriate use of simple techniques such as the Min-Max inventory control model by 79%. Over an 18-month period, misoprostol tablet had the highest average days (32) of stock-outs (5.9%), followed by magnesium sulphate injection with an average of 31 days (5.7%), and oxytocin injection with an average of 13 days (2.4%). CONCLUSION: Proper use of pharmaceutical management tools within hospitals premises positively influence the availability of life-saving drugs, such as emergency obstetric drugs. Adequate supply chain staffing in health facilities is the most important key to improving inventory management practices and medicine availability.

Understanding the problem of digital medication inventory visibility in health systems.

PURPOSE: This project describes and quantifies the perceived degree of digital visibility to medication inventory throughout 6 large health systems. METHODS: In this project, 6 large health systems evaluated their physical medication inventory for digital visibility, or the degree to which physical medication inventory information is viewable in electronic systems, during a 2-year period (2019-2020). Inventory reports included medication items with either a National Drug Code (NDC) or a unique institutional identifier. Physical inventory reports contained the medication item name and a corresponding NDC or identifier, the quantity on hand, and the physical locations and the storage environments of the inventory items at the time of the audit. Investigators independently reviewed physical inventory reports and categorized medication line items by degree of digital visibility: (1) no digital visibility, (2) partial digital visibility without accurate quantities, (3) partial digital visibility with accurate quantities, or (4) full digital visibility. Data were anonymized, aggregated, and analyzed to characterize the degree of digital visibility across the health systems and to identify locations and storage environments where the greatest improvement is needed. RESULTS: Overall, less than 1% of medication inventory was judged to have full digital visibility. The majority of the evaluated inventory items were categorized as having partial digital visibility, with or without accurate quantities. Analysis by both units of inventory and inventory valuation indicated that only 30% to 35% of inventory had full digital visibility or partial digital visibility with accurate quantities. CONCLUSION: Most of the medication inventory within 6 large academic centers is either not digitally visible or partially digitally visible but without accurate quantities. Full digital visibility of inventory is rare. Better digital visibility can minimize disruption from recalls and decrease waste. Technology vendors and health systems must collaborate to develop improved automation and systems to make medications on hand more digitally visible.

Classification of medicines and materials in hospital inventory management: a multi-criteria analysis.

BACKGROUND: In the hospital environment, to achieve an optimum level of operations and service, it is necessary to develop adequate inventory management system. Stocks can be managed, amongst other ways, through inputs classification, which is generally carried out based on a single criterion, such as monetary value, demand or criticality, which does not fully address the complexity of a hospital's inventory management system. Thus, the present study proposes a multi-criteria decision support model to help classify the stock of medicines and materials, enabling a more effective inventory management system for hospitals. METHODS: Methodologically, the study followed 3 stages: (1) preliminary phase; (2) modelling and choice phase; and (3) finalization phase. Each stage had a set of specific steps that were followed. The first stage identified the actors of the process, objectives, criteria and alternatives, establishing 5 criteria and 48 alternatives; the second stage was the choice and execution of the multi-criteria decision method to solve the problem. It was decided to use the Flexible and Interactive Tradeoff method for the sorting problematic. Finally, in the third stage, the sensitivity analysis for the developed model and the validation of the results with decision makers were carried out. In the study, 48 medicines and materials were included to validate the proposed model; however, the model could be used for more items. RESULTS: From the total of 48 medicines and hospital medical materials selected for the study, the classification of 34 of these alternatives to a single class was obtained through modelling and the other 14 alternatives were destined to two possible classes; moreover, the sensitivity analysis performed showed robust results. The items classified in class W should receive special attention by the stock manager; therefore, they should be monitored weekly. Items classified in class B should be monitored biweekly and finally, items classified in class M, should be monitored monthly. CONCLUSIONS: The classification of medicines and materials developed according to the inventory demands allowed more efficient purchasing decisions, optimizing the stock of materials and medicines at the hospital while optimizing the inventory manager's activities, saving time. Consequently, the proposed model can support the development of other multicriteria models in different hospital scenarios.

Better than 'normal': Describing the distribution of and outliers in RBC usage.

BACKGROUND/CASE STUDIES: Optimizing a hospital blood inventory requires understanding the distribution of blood usage at the institution. Standard methods for describing red blood cell (RBC) usage like mean and standard deviation assume a normal distribution. Other distributions may fit the distribution of daily RBC usage better and provide more accurate insights into blood usage and in6ventory management. STUDY DESIGN/METHODS: RBC usage data from 2014 through 2020 were queried from the laboratory information system. Theoretical distributions were fit against this empirical distribution of daily RBC usage. Goodness-of-fit was assessed visually using Pearson/Cullen and Frey plots as well as quantitatively using Kolomogorov-Smirnov (K-S) distance and the Akaike Information Criterion (AIC). RESULTS/FINDINGS: 241,957 units of RBCs were transfused over 2557 days in the study period. The log-normal and gamma distributions had superior K-S distances and AICs for daily RBC usage. The top percentile of days for RBC usage was significantly more likely to have at least one ultramassively transfused patient (p < .001, Fisher's Exact Test). CONCLUSIONS: The log-normal and gamma distributions better describe the right-skewed and entirely positive empirical distribution of daily RBC usage as compared to the normal distribution. This should broadly inform inventory management efforts and future descriptions of RBC usage at the institutional level.

Point-of-use hospital inventory management with inaccurate usage capture.

Many hospital supply chains in the US follow a "stockless" structure, often implemented with the acquisition of new systems promising improved efficiencies and responsiveness. Despite vendor promises, supply chain gains from new technology are often unfulfilled or result in a reduction of performance. A critical component of achieving promised gains is the hospital's ability to accurately and consistently capture hospital inventory use. In practice, recording demand with perfect, 100% accuracy is infeasible, so our models condition on the level of accuracy in a particular hospital department, or point-of-use (POU) inventory location. Similar to previous literature, we consider actual net inventory and recorded net inventory in developing the system performance measures. We develop two models, optimizing either cost or service level, and we assume a periodic-review, base-stock (or par-level) inventory policy with full backordering. In addition to choosing the optimal order-up-to level, we seek the optimal frequency of inventory counts to reconcile inaccurate records. Results from both models provide insights for supply chain managers in the hospital setting, as well as hospital administrators considering the adoption of similar technologies or systems.

Effect of video-based information on preoperative State trait anxiety inventory scores in adult patients presenting for elective caesarean section: a randomized controlled trial

Background: Preoperative anxiety is a common occurrence in patients presenting for surgery with a reported incidence of up to 80%. Increased preoperative anxiety has been associated with increased morbidity. Provision of information relating to surgery and anesthesia to patients has been proven to have benefit in allaying anxiety. However, the best format of information dissemination remains unknown. Objective: To determine the effect of video information in addition to the pre-anesthetic review on the mean preoperative State anxiety inventory (STAI-S) score in adult patients presenting for elective caesarean section under spinal anesthesia at Aga Khan University Hospital, Nairobi (AKUHN), and to determine the prevalence of preoperative anxiety in the obstetric population presenting for elective caesarean section at AKUHN. Methods: Thirty-seven adult patients booked for elective caesarean section under spinal anesthesia were randomly assigned to one of two groups. In the study arm, a video was shown to the participants in addition to the standard pre-anesthetic review. In the control arm the participants only had a standard pre-anesthetic review. Results: The mean STAI-T score in the sampled population was 45.64 (SD 5.625). The mean baseline STAI-S score was 46.32 (SD 4.911). There was no statistically significant difference in change in STAI score between the video and control arms (p>0.05). Conclusion: On the basis of this study among this population, there was no benefit demonstrated from the use of an information video about spinal anesthesia on anxiety levels in obstetric patients presenting for a first time spinal

Assessing environmental barriers by means of the swedish craig hospital inventory of environmental factors among people post-stroke.

BACKGROUND: When occupational therapists address environmental barriers to occupational engagement, some barriers might not be possible to reduce for single individuals, because decisions have to be taken at community or societal level, for example changes in public transport. Investigating environmental barriers by means of the Swedish Craig Hospital Inventory of Environmental Factors (CHIEF-S) may increase our understanding of the environmental impact on occupation engagement and the methodological challenges to assess environmental barriers. AIMS: To investigate and describe the magnitude of encountered environmental barriers in a group of people post-stroke and to assess psychometric properties of the CHIEF-S. MATERIAL AND METHODS: In total, 34 participants, who had sustained a stroke in Sweden were recruited. RESULTS: The participants reported in average 2,7 barriers and the total frequency-magnitude score of barriers (CHIEF-S score) was 0.45. The Cronbach's α for the total CHIEF-S was 0.80 and the analysis of test-retest reliability revealed ICC = 0.86. The entire instrument demonstrated better psychometric properties than the single sub-scales. CONCLUSION: In this study, the frequency-magnitude of environmental barriers encountered by people post-stroke are reported at a group level and adds information to the cumulative knowledge generation on perceived environmental barriers in the society. However, to inform which interventions are needed at a more detailed level, other data collection methods have to be added.

It Takes a Village : Contending With Drug Shortages During Disasters.

Critical drug shortages have been widely documented during the coronavirus disease 2019 (COVID-19) pandemic, particularly for IV sedatives used to facilitate mechanical ventilation. Surges in volume of patients requiring mechanical ventilation coupled with prolonged ventilator days and the high sedative dosing requirements observed quickly led to the depletion of "just-in-time" inventories typically maintained by institutions. This manuscript describes drug shortages in the context of global, manufacturing, regional and institutional perspectives in times of a worldwide crisis such as a pandemic. We describe etiologic factors that lead to drug shortages including issues related to supply (eg, manufacturing difficulties, supply chain breakdowns) and variables that influence demand (eg, volatile prescribing practices, anecdotal or low-level data, hoarding). In addition, we describe methods to mitigate drug shortages as well as conservation strategies for sedatives, analgesics and neuromuscular blockers that could readily be applied at the bedside. The COVID-19 pandemic has accentuated the need for a coordinated, multi-pronged approach to optimize medication availability as individual or unilateral efforts are unlikely to be successful.

Rational drug use in hospital settings - areas that can be changed.

Irrational use of drugs occurs at all levels of healthcare. This phenomenon can also be observed in hospitals. Irrational use of a drug contributes to a decrease in the patient's quality of treatment and often causes negative health consequences. For this reason, it is essential to consider methods that can be introduced in hospitals to increase the safety and effectiveness of the drugs used. The article presents selected methods of rationalization of drug management that can be used in hospitals.

Potential challenges faced by blood bank services during COVID-19 pandemic and their mitigative measures: The Indian scenario.

The current pandemic caused by SARS-CoV-2 virus is going to be a prolonged melee. Identifying crucial areas, proactive planning, coordinated strategies and their timely implication is essential for smooth functioning of any system during a crunch. Addressing the impact of COVID-19 on transfusion services, there are 4 potential challenges viz. blood/ component shortage, donor/ staff safety, consumable supply/ logistics and catering to the convalescent plasma need. In this review article, we will be discussing about these potential challenges in detail along with the necessary mitigative steps to be adopted to tide over the COVID-19 crisis in an Indian set up.

Designing an optimal inventory management model for the blood supply chain: Synthesis of reusable simulation and neural network.

Blood supply managers in the blood supply chain have always sought to create enough reserves to increase access to different blood products and reduce the mortality rate resulting from expired blood. Managers' adequate and timely response to their customers is considered vital due to blood perishability, uncertainty of blood demand, and the direct relationship between the availability/lack of blood supply and human life. Further to this, hospitals' awareness of the optimal amount of requests from suppliers is vital to reducing blood return and blood loss, since the loss of blood products surely leads to high expenses. This paper aims to design an optimal management model of blood transfusion network by a synthesis of reusable simulation technique (applicable to all bases) and deep neural network (the latest neural network technique) with multiple recursive layers in the blood supply chain so that the costs of blood waste, return, and shortage can be reduced. The model was implemented on and developed for the blood transfusion network of Khorasan Razavi, which has 6 main bases active from October 2015 to October 2017. In order to validate the data, the data results of the variables examined with the real data were compared with those of the simulation, and the insignificant difference between them was investigated by t test. The solution of the model facilitated a better prediction of the amount of hospital demand, the optimal amount of safety reserves in the bases, the optimal number of hospital orders, and the optimal amount of hospital delivery. This prediction helps significantly reduce the return of blood units to bases, increase availability of inventories, and reduce costs.

Hospital Pharmacy Service: Facing the logistics of medicines procurement.

COVID crisis has abruptly broken into our hospitals, and many difficulties have  emerged, including those related to supply logistics. A huge number of new  patients, a fast internal reorganization process and many other changes were  suddenly established. These circumstances revealed the need to increase stocks  of drugs, both for basic treatment as well as for specific SARS-CoV-2 infection  management. At the same time, other problems (shortages, new and complex  purchasing procedures, etc.) surfaced, so they could risk safety along the  pharmacotherapeutic process. The main objective was to develop and implement all the necessary measures within the logistics circuit in order to ensure the  availability of medicines for patients, as safely and effectively as possible, during the Coronavirus crisis. Firstly, two pharmacists were appointed to coordinate the whole process, and a preliminary analysis of the following aspects was carried  out an estimation of needs to make an initial drug provisioning, a storage  feasibility study and a global analysis of the logistics process to detect critical  points. Three different circuits for medicines supply were established as some  drugs were operated by Agencia Española de Medicamentos y Productos  Sanitarios (AEMPS) or Servicio Madrileño de Salud (SERMAS), and others were  under no restrictions. For stocks control, inventory was frequently reviewed and  monitoring of prescription trends was implemented. For all new medicinal  products, compliance with security standards was reviewed and relabeling was  carried out if necessary. Criteria were defined for the storage of overstocks and  it was placed an isolated area for quarantined drugs. Shortages inevitably  occurred but their effects were partly mitigated by AEMPS and SERMAS. After  all, we consider that the implemented procedure for logistics management may  be reproducible, and the key points we have identified are the following: to  enhance our quality management system, to develop an Action Plan for  Healthcare Emergencies and to ensure the adequate training for all pharmacy  staff. Furthermore, we also should address other aspects: to establish storage  optimization strategies, to focus on a more advanced logistics management  model, as well as to take advantage of the extraordinary multidisciplinary  network, which has been consolidated during this COVID pandemic.

La crisis COVID ha irrumpido en los hospitales de forma abrupta, y ha planteado  muchas dificultades de partida a todos los niveles, incluyendo la logística de  adquisiciones. El aumento radical de pacientes, una aceleradísima reorganización interna y otros cambios pusieron de manifiesto un drástico incremento de  necesidades, tanto de medicamentos básicos, como de aquellos específicos para  soporte y tratamiento de la infección por SARSCoV-2. Paralelamente, surgieron  otras dificultades como desabastecimientos, procedimientos de compra nuevos y más complejos, etc., que podían comprometer la seguridad del proceso de  utilización de medicamentos. Nuestro objetivo consistió en establecer todas las  medidas necesarias dentro del proceso logístico para garantizar de forma segura y eficaz la disponibilidad de los medicamentos para los pacientes durante la  crisis COVID. En primer lugar, se designaron los farmacéuticos responsables del  proceso, y se realizó un análisis preliminar de los siguientes aspectos:  estimación de necesidades para realizar una compra inicial, estudio de viabilidad de almacenamiento y análisis logístico global para detectar puntos críticos. Se establecieron tres circuitos de adquisiciones, según se tratase de medicamentos intervenidos por la Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), por el Servicio Madrileño de  Salud (SERMAS) o medicamentos no sujetos a restricciones. Para el control de stocks se implementaron revisiones frecuentes de inventario y seguimiento de las tendencias de prescripción. En las especialidades nuevas  recibidas se revisó el cumplimiento de los estándares de seguridad y se realizó  reetiquetado en caso necesario. Se establecieron unos criterios para el  almacenamiento de los sobrestocks y se destinó un área independiente para  medicamentos en cuarentena. Los desabastecimientos fueron inevitables pero  amortiguados por la gestión del SERMAS y la AEMPS. Una vez superada la crisis, consideramos que el procedimiento implantado para la gestión logística es  reproducible, y sus puntos clave para aplicabilidad futura son: mantener y  potenciar nuestro sistema de gestión de calidad, elaborar un plan de actuación  para emergencias sanitarias y garantizar la adecuada formación de todo el  personal. Asimismo, existen otros aspectos que debemos abordar: establecer  estrategias de optimización del almacenamiento, enfocarnos hacia un modelo de  gestión logística más avanzado, así como aprovechar la extraordinaria red  multidisciplinar consolidada durante la crisis.

Where is my infusion pump? Harnessing network dynamics for improved hospital equipment fleet management.

OBJECTIVE: Timely availability of intravenous infusion pumps is critical for high-quality care delivery. Pumps are shared among hospital units, often without central management of their distribution. This study seeks to characterize unit-to-unit pump sharing and its impact on shortages, and to evaluate a system-control tool that balances inventory across all care areas, enabling increased availability of pumps. MATERIALS AND METHODS: A retrospective study of 3832 pumps moving in a network of 5292 radiofrequency and infrared sensors from January to November 2017 at The Johns Hopkins Hospital in Baltimore, Maryland. We used network analysis to determine whether pump inventory in one unit was associated with inventory fluctuations in others. We used a quasi-experimental design and segmented regressions to evaluate the effect of the system-control tool on enabling safe inventory levels in all care areas. RESULTS: We found 93 care areas connected through 67,111 pump transactions and 4 discernible clusters of pump sharing. Up to 17% (95% confidence interval, 7%-27%) of a unit's pump inventory was explained by the inventory of other units within its cluster. The network analysis supported design and deployment of a hospital-wide inventory balancing system, which resulted in a 44% (95% confidence interval, 36%-53%) increase in the number of care areas above safe inventory levels. CONCLUSIONS: Network phenomena are essential inputs to hospital equipment fleet management. Consequently, benefits of improved inventory management in strategic unit(s) are capable of spreading safer inventory levels throughout the hospital.

Optimizing O-negative RBC utilization using a data-driven approach.

BACKGROUND: O-negative red blood cells (ON-RBC) are a precious resource and the international blood banking community has become increasingly concerned with its inappropriate utilization. AABB recently made several recommendations to address the issue. Solutions must be multifaceted and involve donor centers, blood banks, and clinical departments. From the perspective of a hospital blood bank, it is difficult to rely solely on increased donor recruitment and ubiquitous blood typing of the entire in-patient population. We therefore focused on interventions within the blood bank to optimize inventory and policies to ensure appropriate ON-RBC utilization. STUDY DESIGN AND METHODS: Transfusion data over one year was examined for the rate of out-of-group/inappropriate ON-RBC. Furthermore, we assessed whether that rate was related to product life on the day of transfusion. We also examined our stock inventory levels and how excess inventory can contribute to inappropriate ON-RBC usage. RESULTS: The ON-RBC inventory level was decreased in order to reduce the rate of inappropriate transfusions while maintaining a safe level for optimal patient care. Compared to baseline, our intervention caused ON-RBCs to be transfused earlier in their shelf-life (9.27 vs. 11.15 days from expiration [DFE], p = 0.0012). This reduced the overall rate of inappropriate ON-RBC transfusions (67% vs. 54%, p = 0.0035), approximating 185 units of ON-RBC saved over the course of 6 months. CONCLUSIONS: A data-driven approach to optimize stock inventory levels is widely applicable; it can be adopted by numerous institutions to improve utilization and establish a benchmark for the broader blood banking community.

Use of a cloud-based search engine of a centralized donor database to identify historical antigen-negative units in hospital inventories.

BACKGROUND: The provision of units with antigen-negative attributes is required for alloimmunized transfusion recipients and to avoid alloimmunization among patients on chronic transfusion support. Recent evidence confirms that the demand for antigen-typed units is increasing. STUDY DESIGN AND METHODS: A cloud-based search engine was designed by the blood center to find antigen-negative units. The service provided access to historical antigen information for units in hospital inventories. The hospital transfusion service was required to confirm the antigen phenotype. The results of 16 hospitals' use over 5 years were analyzed to determine trends and value of the service. The time commitment of the cloud-based query was compared to the hospital performing manual phenotyping with an outcome of at least one unit found with the desired antigen-negative attribute(s). RESULTS: Hospitals were located between 4 miles and 200 miles away from the blood center. A total of 6,081 queries were submitted over the 5 years, with an overall 50% success rate of finding at least one unit. Single antigen queries accounted for 67% of total searches, with two antigen queries and three or more antigen queries accounting for 24% and 9% of the units found, respectively. The cloud-based antigen query was most efficient for combined antigen frequencies <0.5 for two or more antigen-negative attributes. CONCLUSION: A cloud-based search engine provides hospitals with access to historical antigen information housed at the blood center. Future refinements may consider regulatory submission of a process to provide confirmed historical information through this cloud-based program.

Achieving cost-efficient management of drug supply via economic order quantity and minimum-maximum stock level.

BACKGROUND: A good drug inventory planning system is important for an efficient budgeting, procurement, and cost control of drugs. When stagnant drugs in the inventory are too much, wastage due to expired and spoiled drugs could occur. These will not only cause loss of income but could also jeopardize healthcare service delivery. RESEARCH DESIGN AND METHODS: This study aimed to determine the most efficient and effective management of stagnant and shortage drugs by comparing three pharmacy logistic methods; the economic order quantity (EOQ), minimum-maximum stock level (MMSL), and the traditional consumption of drug inventory, at RA Basoeni Hospital, Mojokerto. Drug inventory was analyzed to calculate the opportunity loss, opportunity cost, and proportions of both stagnant and shortage drugs. RESULTS: We found that EOQ and MMSL performed best for control of stagnant drugs and shortage drugs, respectively. Both methods had proved as effective pharmacy logistic planning. In addition, EOQ produced the lowest opportunity cost for stagnant drugs besides the lowest opportunity loss for shortage drugs. CONCLUSION: The study concluded that EOQ is the most effective and efficient method to manage stagnant and shortage drugs at hospital pharmacy.

Tracking health commodity inventory and notifying stock levels via mobile devices: a mixed methods systematic review.

BACKGROUND: Health systems need timely and reliable access to essential medicines and health commodities, but problems with access are common in many settings. Mobile technologies offer potential low-cost solutions to the challenge of drug distribution and commodity availability in primary healthcare settings. However, the evidence on the use of mobile devices to address commodity shortages is sparse, and offers no clear way forward. OBJECTIVES: Primary objective To assess the effects of strategies for notifying stock levels and digital tracking of healthcare-related commodities and inventory via mobile devices across the primary healthcare system Secondary objectives To describe what mobile device strategies are currently being used to improve reporting and digital tracking of health commodities To identify factors influencing the implementation of mobile device interventions targeted at reducing stockouts of health commodities SEARCH METHODS: We searched CENTRAL, MEDLINE Ovid, Embase Ovid, Global Index Medicus WHO, POPLINE K4Health, and two trials registries in August 2019. We also searched Epistemonikos for related systematic reviews and potentially eligible primary studies. We conducted a grey literature search using mHealthevidence.org, and issued a call for papers through popular digital health communities of practice. Finally, we conducted citation searches of included studies. We searched for studies published after 2000, in any language. SELECTION CRITERIA: For the primary objective, we included individual and cluster-randomised trials, controlled before-after studies, and interrupted time series studies. For the secondary objectives, we included any study design, which could be quantitative, qualitative, or descriptive, that aimed to describe current strategies for commodity tracking or stock notification via mobile devices; or aimed to explore factors that influenced the implementation of these strategies, including studies of acceptability or feasibility. We included studies of all cadres of healthcare providers, including lay health workers, and others involved in the distribution of health commodities (administrative staff, managerial and supervisory staff, dispensary staff); and all other individuals involved in stock notification, who may be based in a facility or a community setting, and involved with the delivery of primary healthcare services. We included interventions aimed at improving the availability of health commodities using mobile devices in primary healthcare settings. For the primary objective, we included studies that compared health commodity tracking or stock notification via mobile devices with standard practice. For the secondary objectives, we included studies of health commodity tracking and stock notification via mobile device, if we could extract data relevant to our secondary objectives. DATA COLLECTION AND ANALYSIS: For the primary objective, two authors independently screened all records, extracted data from the included studies, and assessed the risk of bias. For the analyses of the primary objectives, we reported means and proportions where appropriate. We used the GRADE approach to assess the certainty of the evidence, and prepared a 'Summary of findings' table. For the secondary objective, two authors independently screened all records, extracted data from the included studies, and applied a thematic synthesis approach to synthesise the data. We assessed methodological limitation using the Ways of Evaluating Important and Relevant Data (WEIRD) tool. We used the GRADE-CERQual approach to assess our confidence in the evidence, and prepared a 'Summary of qualitative findings' table. MAIN RESULTS: Primary objective For the primary objective, we included one controlled before-after study conducted in Malawi. We are uncertain of the effect of cStock plus enhanced management, or cStock plus effective product transport on the availability of commodities, quality and timeliness of stock management, and satisfaction and acceptability, because we assessed the evidence as very low-certainty. The study did not report on resource use or unintended consequences. Secondary objective For the secondary objectives, we included 16 studies, using a range of study designs, which described a total of eleven interventions. All studies were conducted in African (Tanzania, Kenya, Malawi, Ghana, Ethiopia, Cameroon, Zambia, Liberia, Uganda, South Africa, and Rwanda) and Asian (Pakistan and India) countries. Most of the interventions aimed to make data about stock levels and potential stockouts visible to managers, who could then take corrective action to address them. We identified several factors that may influence the implementation of stock notification and tracking via mobile device. These include challenges tied to infrastructural issues, such as poor access to electricity or internet, and broader health systems issues, such as drug shortages at the national level which cannot be mitigated by interventions at the primary healthcare level (low confidence). Several factors were identified as important, including strong partnerships with local authorities, telecommunication companies, technical system providers, and non-governmental organizations (very low confidence); availability of stock-level data at all levels of the health system (low confidence); the role of supportive supervision and responsive management (moderate confidence); familiarity and training of health workers in the use of the digital devices (moderate confidence); availability of technical programming expertise for the initial development and ongoing maintenance of the digital systems (low confidence); incentives, such as phone credit for personal use, to support regular use of the system (low confidence); easy-to-use systems built with user participation (moderate confidence); use of basic or personal mobile phones to support easier adoption (low confidence); consideration for software features, such as two-way communication (low confidence); and data availability in an easy-to-use format, such as an interactive dashboard (moderate confidence). AUTHORS' CONCLUSIONS: We need more, well-designed, controlled studies comparing stock notification and commodity management via mobile devices with paper-based commodity management systems. Further studies are needed to understand the factors that may influence the implementation of such interventions, and how implementation considerations differ by variations in the intervention.

Improving hospital pharmacy inventory management using data segmentation.

PURPOSE: This case study describes the development and empirical validation of an easy-to-implement practical framework for improving hospital pharmacy inventory management. SUMMARY: Research suggests various inventory optimization models, which can lead to cost reductions while maintaining adequate service levels; however, they are facing limited adoption in healthcare settings. The main barriers appear to be the high effort and complexity of implementation, the dependence on data that are not available or might not be in the right form, and the one-size-fits-all approach often followed without addressing healthcare sector-specific particularities. A research framework was developed by adapting relevant inventory models to the healthcare context using the concept of data segmentation on the basis of a three-dimensional classification of hospital pharmacy inventory items based on their relative importance, clinical criticality, and consumption pattern. Suitable replenishment policies were assigned to high-impact classes, and an integrated performance-measurement component assesses the framework's effectiveness. The suggested approach was implemented and empirically tested at the pharmacy of a large public hospital using longitudinal data. The results demonstrate substantial improvements with respect to all of the selected key performance indicators and translate into inventory cost savings due to reduced stockholding costs and better synchronization of inventories to demand. CONCLUSION: Use of standard software functionalities combined with targeted data segmentation efforts significantly improves hospital pharmacy inventory cost performance.