A proposed analytical framework for qualitative evaluation of access to medicines from a health systems perspective.

OBJECTIVE: Despite global recognition that access to medicines is shaped by various interacting processes within a health system, a suitable analytical framework for identifying barriers and facilitators from a system's perspective was needed. We propose a framework specifically designed to find drivers to access to medicines from a country's health system perspective. This framework could enable the systematic evaluation of access across countries, disease areas and populations and facilitate targeted policy development. This framework is the byproduct of a larger study on the barriers and facilitators to childhood oncology medicines in South Africa. RESULTS: Eight core (pharmaceutical) functional processes were identified from existing frameworks: (I) medicine regulation, (II) public financing and pricing, (III) selection, (IV) reimbursement, (V) procurement and supply, (VI) healthcare delivery, (VII) dispensing and (VIII) use. National contextual components included policy and legislation and health information systems. To emphasize the interlinkage of processes, the proposed framework was structured as a pharmaceutical value chain. This framework focusses on national processes that are within a country's control as opposed to global factors, and functional mechanisms versus a country's performance or policy objectives. Further refinement and validation of the framework following application in other contexts is encouraged.

The caregiver's experience of childhood cancer treatment in South Africa.

Background: This study explored the treatment-related, financial and psychological experiences of caregivers during cancer treatment of their children in South Africa's (SA) public and private sectors. Methods: In this exploratory study, three focus groups were conducted with caregivers of children undergoing cancer treatment in SA's public healthcare sector. A fourth small focus group with two parents in the private sector was conducted online. A mixed-methods approach was employed using a combination of thematic analysis and grounded theory. Results: Of the 20 public sector caregivers, many expressed frustration at the number of visits to primary healthcare clinics before being referred. Caregivers had difficulties coping with and accepting the diagnosis, alongside managing continued care for the child and other children at home. Support received by family and community members was varied. Financial strain was an important concern. The two private sector parents indicated greater levels of support and no financial hardship, but expressed similar levels of emotional stress. Conclusion: These caregiver experiences indicate that improvements are urgently needed in the recognition of childhood cancer symptoms at primary healthcare level in SA. They also highlight a need for increased financial support from government through social grants, travel allowances and nutritional support.

Evaluation of alignment of the reimbursement medicines list for children in Albania with the WHO essential medicines list for children.

Background: The WHO Essential Medicine List for Children was released on the 30th anniversary of the general Essential Medicine List in 2007, to recognise special needs for medicines in children, and to promote the inclusion of paediatric medicines in national procurement programmes. This study aimed to investigate the alignment of the medicines included in the Albanian reimbursement medicines list of the Mandatory Healthcare Insurance Fund (AMHIF) and the Essential Medicine List for Children. Methods: A quantitative evaluation was performed to compare the paediatric medicines included in the 2022 list of the AMHIF and the 2021 WHO Essential Medicine List for Children. In addition, vaccines in the Albanian vaccination programmes for children were compared to the ones listed on the WHO Essential Medicine List for Children. Results: Both lists had a total of 284 active ingredients in common, whereas 14 of 24 vaccines were found to be in common in the Essential Medicine List for Children list and the Albanian vaccination programmes. Conclusions: This is the first study in Albania to investigate the alignment of the WHO EMLc and AMHIF list. In case of the same active ingredient there were many deviations in terms of dosage form, strength and indication.

SDG indicator 3.b.3 - an analysis of its robustness and challenges for measuring access to medicines for children.

BACKGROUND: Sustainable Development Goal (SDG) indicator 3.b.3 monitors progress in medicines' accessibility for adults and has significant limitations when applying to medicines for children. An adapted indicator methodology was developed to fill this gap, but no proof of its robustness exists. We provide this evidence through sensitivity analyses. METHODS: Data on availability and prices of child medicines from ten historical datasets were combined to create datasets for analysis: Dataset 1 (medicines selected at random) and Dataset 2 (preference given to available medicines, to better capture affordability of medicines). A base case scenario and univariate sensitivity analyses were performed to test critical components of the methodology, including the new variable of number of units needed for treatment (NUNT), disease burden (DB) weighting, and the National Poverty Line (NPL) limits. Additional analyses were run on a continuously smaller basket of medicines to explore the minimum number of medicines required. Mean facility scores for access were calculated and compared. RESULTS: The mean facility score for Dataset 1 and Dataset 2 within the base case scenario was 35.5% (range 8.0-58.8%) and 76.3% (range 57.2-90.6%). Different NUNT scenarios led to limited variations in mean facility scores of + 0.1% and -0.2%, or differences of + 4.4% and -2.1% at the more critical NPL of $5.50 (Dataset 1). For Dataset 2, variations to the NUNT generated differences of + 0.0% and -0.6%, at an NPL of $5.50 the differences were + 5.0 and -2.0%. Different approaches for weighting for DB induced considerable fluctuations of 9.0% and 11.2% respectively. Stable outcomes with less than 5% change in mean facility score were observed for a medicine basket down to 12 medicines. For smaller baskets, scores increased more rapidly with a widening range. CONCLUSION: This study has confirmed that the proposed adaptations to make SDG indicator 3.b.3 appropriate for children are robust, indicating that they could be an important addition to the official Global Indicator Framework. At least 12 child-appropriate medicines should be surveyed to obtain meaningful outcomes. General concerns that remain about the weighting of medicines for DB and the NPL should be considered at the 2025 planned review of this framework.

Pharmaceutical Scientists' Perspectives on Capacity Building in Pharmaceutical Sciences.

With the anticipated health challenges brought by demographic and technological changes, ensuring capacity in underlying workforce in place is essential for addressing patients' needs. Therefore, a timely identification of important drivers facilitating capacity building is important for strategic decisions and workforce planning. In 2020, internationally renowned pharmaceutical scientists (N = 92), largely from the academia and pharmaceutical industry, with mostly pharmacy and pharmaceutical sciences educational background were approached (through a questionnaire) for their considerations on influencing drivers to facilitate meeting current capacity in pharmaceutical sciences research. From a global view, based on the results of the questionnaire, the top drivers were better alignment with patient needs as well as strengthening education - both through continuous learning and deeper specialisation. The study also showed that capacity building is more than simply increasing the influx of graduates. Pharmaceutical sciences are being influenced by other disciplines, and we can expect more diversity in scientific background and training. Capacity building of pharmaceutical scientists should allow flexibility for rapid change driven by the clinic and need for specialised science and it should be underpinned by lifelong learning.

Unmet Medical Need as a Driver for Pharmaceutical Sciences - A Survey Among Scientists.

Historical antecedents of pharmaceutical sciences are sound on product orientation based on (analytical) chemistry, drug delivery and basic pharmacology. Over the last decades we have seen a transition towards a stronger disease orientation. This raises questions on whether, how and to what extent unmet medical need (UMN) is important in priority setting, funding and impact in pharmaceutical sciences. An online survey in 2020 collected perspectives of internationally recognised pharmaceutical scientists (N = 92), mainly from academia and industry, on drivers and influencing factors in pharmaceutical sciences. The study offers a unique global perspective, demonstrating a solid command of the global needs in pharmaceutical sciences. The survey revealed that UMN is currently seen as one of the three most important drivers, also in addition to emerging trends in science and opportunities driven by collaboration. There are expectations that UMN's impact becomes more influential. This was consistent for both industry and academic respondents. The majority of respondents also indicated that anticipated lessons learned from COVID-19 will strengthen the impact of UMN on science and leadership. This is important as prioritisation of research towards UMN can address the clinical needs where needed the most.

The patterns of anticoagulation control and the risk of stroke, bleeding and mortality in patients with non-valvular atrial fibrillation.

BACKGROUND: Anticoagulation control is often summarized using the percentage of time spent in a therapeutic range (TTR). This method does not describe the timing and severity of fluctuations in the International Normalised Ratio (INR). OBJECTIVE: To evaluate whether the TTR method can be improved by considering the patterns of INR over time. METHODS: The cohort included adults aged 40+ years with atrial fibrillation (AF) and laboratory records of INR as recorded in the UK Clinical Practice Research Datalink. Statistical clustering techniques based on simple INR measures were used to describe the patterns of INR. Nested case-control studies calculated the odds ratios (ORs) for the risk of stroke, bleeding and mortality with TTR and different INR patterns. It was also evaluated whether cluster analyses improved the prediction of outcomes over TTR. RESULTS: A number of 27 381 patients were studied with a mean age of 73 years. The OR for mortality was 3.76 (95% confidence interval [CI] 3.03-4.68) in patients with < 30% TTR compared with patients with 100% TTR. INR patterns were found to be best described by six different clusters. The cluster with the most unstable pattern was associated with the largest risk of mortality (OR 10.7, 95% CI 8.27-13.85) and stroke (OR 3.42, 95% CI 2.08-5.63). INR measures that predicted death independent of the TTR-included absolute difference between two subsequent INR measurements and change relative to the mean over time. CONCLUSION: Cluster analysis of INR patterns improved the prediction of clinical outcomes over TTR and may help to identify warfarin users who need additional anticoagulation monitoring.