Reasons to remember: A functionalist view on the relation between memory and psychopathology

Memory is under investigation as one of the core mechanisms of psychopathology. The traditional cognitive view of memory as a stable structure with a range of set characteristics can be complemented with a perspective that considers remembering as a behaviour that varies fluidly across contexts. Remembering may serve adaptation to the environment by fulfilling a directive function, a self-function and a social function. A failure to fulfil these functions may be a risk factor for psychopathology. Implications of the discussed functionalist perspective include the importance of reinforcing adaptive ways of remembering during early development, the possibility of treating maladaptive ways of remembering through contextual interventions and the added ecological validity of using ambulatory assessment methods.

Antibiotic procurement and ABC analysis for a comprehensive primary health care clinic in the Eastern Cape province, South Africa

BACKGROUND

Antimicrobial resistance (AMR), a major threat to global public health, can be addressed using a managed care approach. This includes timely analysis of antibiotic consumption and procurement data to drive evidence-based policies and practices in healthcare facilities. 'ABC analysis' presents an opportunity for this.

METHODS

ABC analysis data for a comprehensive Primary Health Care (PHC) clinic in the Eastern Cape province of South Africa was obtained from the Provincial Department of Health for 01 April 2015 to 31 March 2018. Procured antibiotics were analysed on the quantities purchased, total cost, route of administration and spectrum of activity. Antibiotic categorization was also carried out according to the World Health Organization Model List of Essential Medicines (WHO EML) 2017.

RESULTS

Antibiotics made up approximately 7% of the total annual pharmaceutical expenditure. A total of 31, 35 and 34 antibiotics were procured in the first, second and third years, respectively. The most procured antibiotics were: (1) isoniazid, (2) flucloxacillin, (3) azithromycin, (4) a combination of rifampicin, isoniazid, pyrazinamide, and ethambutol and (5) amoxicillin. Overall, 55%, 2% and 15% of antibiotics accounted for the 'Access', 'Watch' and 'Access and Watch' categories, respectively, of the WHO EML. No 'Reserve' antibiotics were procured. The remaining 28% were antituberculosis medicines. Altogether, 89%, 8% and 3% of the antibiotics were respectively administered orally, systemically, and topically. A total of 58% were broad-spectrum and 42% were narrow-spectrum antibiotics.

CONCLUSION

Oral antibiotics in the 'Access' category presented favourable usage of antibiotics. Decreasing the use of broad-spectrum antibiotics requires consideration.

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.

Critical Analysis of Pharmaceuticals Inventory Management Using the ABC-VEN Matrix in Dessie Referral Hospital, Ethiopia

Introduction

Inventory management is a complex process that accelerates the probability of stock-out and overstocking if not tracked properly. Classification of drugs based on their criticality, cost burden, and in combination is important to make inventory decisions and optimize the quality use of scarce resources. This study analyzed the pharmaceutical inventory management systems of Dessie Referral Hospital using the ABC-VEN matrix for the years 2013 to 2017.

Methodology

Cross-sectional study design was used to review logistic data retrospectively from health commodity management information system and manual records. Data were collected from January 1–20, 2018 in Dessie Referral Hospital.

Results

In the five-year ABC-VEN analysis, 310 (17%), 368 (20.18%), and 1146 (62.83%) items were class A, B, and C, while 610 (34.56%), 1125 (63.74%), and 30 (1.7%) of pharmaceuticals were V, E, and N, respectively. Among these, 139 (7.88%) and 339 (19.21%) of AV and CV pharmaceuticals utilized 43.52% and 2.89% of annual drug expenditures, respectively. Category I, II, and III pharmaceuticals also accounted for 43.68%, 54.79%, and 1.53% of items with their respective USD drug expenditure of 2,268,405.64 (84.49%), 411,961.18 (15.34%), and 4483.97 (0.17%). The pharmaceutical inventory cost projected to be 1,619,351.79 USD in 2025 and total cost (β= 10.68, p = 0.001), class A (β= 8.68, p = 0.001), class B (β= 1.27, p = 0.007), class C (β= 0.72, p = 0.03), and E items (β= 6.08, p = 0.01) were statistically significant with inventory cost.

Conclusion

A huge amount of budget is invested in class A and category I, which pinpoints the need for strict inventory control to prevent wastage and accumulation of capital in buffer stocks. ABC-VEN analysis should be routinely performed before initiation of any new procurement for efficient use of scarce resources.

Prioritization of Medicine Importation by the Private Sector in Sudan: Evidence from a Data Analysis, 2012-2015

OBJECTIVES

The objective of this study is to analyze the annual medicines imported by private sector for the period between 2012 and 2015 with the help of priority system based on ABC-VEN matrix analysis and therapeutic category analysis.

METHODS

A retrospective cross-sectional study was conducted. The Always, Better, and Control (ABC) analysis based on drug expenditure and Vital, Essential, and Nonessential (VEN) analysis based on the criticality of the drugs was performed for annual importation in 2015.

RESULTS

Using ABC analysis, we found that 47 items (9.2%) accounted for 70% of the budget (class A), whereas a larger numbers of items (344; 67.2%) accounted for only 10% of the importation costs (class C). A moderate number of items (120; 23.5%) comprised 20% of the annual medicine importation value (class B). VEN analysis revealed that 89 items (17.4%) in the vital category constituted 41.6% of the importation value, whereas 349 (68.3%) grouped as essential constituted 45.1% of the value, and 73 (14.2%) of the items considered as nonessential medicines consumed only 13.3% of the total medicines imported in 2015. From the resultant ABC-VEN coupled matrix, three categories were created I, II and III.

CONCLUSION

In view of limited resources, it is important that the existing resources should be utilized appropriately. This study identified a range of suggestions for better medication importation. The ABC and VEN analyses along with the therapeutic category analysis technique are convenient, systematic, and replicable methods and should be adopted for optimization and prioritization of resources.

Clinical and Financial Implications of Medicine Consumption Patterns at a Leading Referral Hospital in Kenya to Guide Future Planning of Care

Background: Medicines can constitute up to 70% of total health care budgets in developing countries as well as considerable expenditure in hospitals. Inventory management techniques can assist with managing resources efficiently. In Kenyatta National Hospital (KNH), a leading hospital in Kenya, over 30% of expenditure is currently allocated to medicines, and this needs to be optimally managed.

Objective: To investigate drug consumption patterns, their costs and morbidity patterns at KNH in recent years.

Methodology: Cross-sectional retrospective record review. Inventory control techniques, ABC (Always, Better, and Control), VEN (Vital, Essential, and Non-essential) and ABC-VEN matrix analyses were used to study drug expenditure patterns. Morbidity data was extracted from the Medical Records.

Results: Out of an average of 811 medicine types procured annually (ATC 5), 80% were formulary drugs and 20% were non-formulary. Class A medicines constituted 13.2–14.2% of different medicines procured each year but accounted for an average of 80% of total annual drug expenditure. Class B medicines constituted 15.9–17% of all the drugs procured yearly but accounted for 15% of the annual expenditure, whilst Class C medicines constituted 70% of total medicines procured but only 5% of the total expenditure. Vital and Essential medicines consumed the highest percentage of drug expenditure. ABC-VEN categorization showed that an average of 31% of medicine types consumed an average of 85% of total drug expenditure. Therapeutic category and Morbidity patterns analysis showed a mismatch between drug expenditure and morbidity patterns in over 85% of the categories.

Conclusion: Class A medicines are few but consume the largest proportion of hospital drug expenditure. Vital and essential items account for the highest drug expenditure, and need to be carefully managed. ABC-VEN categorization identified medicines where major savings could potentially be made helped by Therapeutic category and Morbidity pattern analysis. There was a high percentage of non-formulary items, which needs to be addressed. Inventory control techniques should be applied routinely to optimize medicine use within available budgets especially in low and middle income countries.

A Mesoamerican origin of cherimoya (Annona cherimola Mill.): Implications for the conservation of plant genetic resources

Knowledge on the structure and distribution of genetic diversity is a key aspect to plan and execute an efficient conservation and utilization of the genetic resources of any crop as well as for determining historical demographic inferences. In this work, a large data set of 1,765 accessions of cherimoya (Annona cherimola Mill, Annonaceae), an underutilized fruit tree crop native to the Neotropics and used as a food source by pre-Columbian cultures, was collected from six different countries across the American continent and amplified with nine highly informative microsatellite markers. The structure analyses, fine representation of the genetic diversity and an ABC approach suggest a Mesoamerican origin of the crop, contrary to previous reports, with clear implications for the dispersion of plant germplasm between Central and South America in pre-Columbian times. These results together with the potential distribution of the species in a climatic change context using two different climate models provide new insights for the history and conservation of extant genetic resources of cherimoya that can be applied to other currently underutilized woody perennial crops.

ABC-VED analysis of expendable medical stores at a tertiary care hospital

BACKGROUND

The modern system of medicine has evolved into a complex, sophisticated and expensive treatment modality in terms of cost of medicines and consumables. In any hospital, approximately 33% of total annual budget is spent on buying materials and supplies including medicines. ABC (Always, Better Control)-VED (Vital, Essential, Desirable) analysis of medical stores of a large teaching, tertiary care hospital of the Armed Forces was carried out to identify the categories of drugs needing focused managerial control.

METHODS

Annual consumption and expenditure data of expendable medical stores for one year was extracted from the drug expense book, followed by classification on its annual usage value. Subsequently, the factor of criticality was applied to arrive at a decision matrix for understanding the need for selective managerial control.

RESULTS

The study revealed that out of 1536 items considered for the study, 6.77% (104), 19.27% (296) and 73.95% (1136) items were found to be A, B and C category items respectively. VED analysis revealed that vital items (V) accounted for 13.14% (201), essential items (E) for 56.37% (866) and desirable accounted for 30.49% items (469). ABC-VED matrix analysis of the inventory reveals that only 322 (21%) items out of an inventory of 1536 drugs belonging to category I will require maximum attention.

CONCLUSION

Scientific inventory management tools need to be applied routinely for efficient management of medical stores, as it contributes to judicious use of limited resources and resultant improvement in patient care.

ABC and VED Analysis of the Pharmacy Store of a Tertiary Care Teaching, Research and Referral Healthcare Institute of India

The ABC and VED (vital, essential, desirable) analysis of the pharmacy store of Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India, was conducted to identify the categories of items needing stringent management control. The annual consumption and expenditure incurred on each item of pharmacy for the year 2007-08 was analyzed and inventory control techniques, i.e. ABC, VED and ABC-VED matrix analysis, were applied. The drug formulary of the pharmacy consisted of 421 items. The total annual drug expenditure (ADE) on items issued in 2007-08 was Rs. 40,012,612. ABC analysis revealed 13.78%, 21.85% and 64.37% items as A, B and C category items, respectively, accounting for 69.97%, 19.95% and 10.08% of ADE of the pharmacy. VED analysis showed 12.11%, 59.38% and 28.51% items as V, E, and D category items, respectively, accounting for 17.14%, 72.38% and 10.48% of ADE of the pharmacy. On ABC-VED matrix analysis, 22.09%, 54.63% and 23.28% items were found to be category I, II and III items, respectively, accounting for 74.21%, 22.23% and 3.56% of ADE of the pharmacy. The ABC and VED techniques need to be adopted as a routine practice for optimal use of resources and elimination of out-of-stock situations in the hospital pharmacy.