SPUR-27 - Psychometric Properties of a Patient-Reported Outcome Measure of Medication Adherence in Chronic Obstructive Pulmonary Disease.

Purpose: People living with COPD who struggle to take their medicines often experience poorer health outcomes such as exacerbations of symptoms, more frequent and lengthy hospital admissions, and worsening mortality rates. This study aimed to evaluate the psychometric properties of the previously validated SPUR-27 model, a multi-factorial model of medication adherence. Patients and Methods: This cross-sectional study was conducted with 100 adult patients living with COPD in a hospital setting in Southwest London. Medication adherence was assessed using a shortened SPUR model (SPUR-27) against the validated Inhaler Adherence Scale (IAS) as a comparator. In addition, objective medication adherence data, presented as the Medication Possession Ratio (MPR), were derived from patient medical and pharmacy records. The COPD Assessment Tool (CAT) score was used to examine the relationship between medication adherence and COPD symptom severity. Reliability of SPUR-27 was assessed using internal consistency estimates. Exploratory factor analysis, partial confirmatory factor analysis, and maximum likelihood analysis were conducted in conjunction with construct, concurrent, and known-group validity testing to explore the psychometric properties of the SPUR model in this population. Results: A 7-factor model for SPUR-27 was derived with adequate factor loadings. SPUR (α=0.893) observed strong internal consistency (>0.8). The model was significantly positively correlated with IAS score (p<0.001) as well as MPR (p<0.01). A significant (p<0.01) relationship between poor medication adherence and worsening symptom severity, as defined by the CAT score, was identified for SPUR (χ 2 = 8.570) using Chi-Square analysis. Furthermore, SPUR-27 demonstrated early evidence of validity with good incremental fit indices: NFI (0.96), TFI (0.97), and CFI (0.93) were all reported as >0.9 in addition to the RMSEA, which was <0.08 (0.059). Conclusion: SPUR demonstrated strong psychometric properties in patients living with COPD. Further work should look to examine the test-retest reliability of the model and its application in broader sample populations.

SPUR: A Patient-Reported Medication Adherence Model as a Predictor of Admission and Early Readmission in Patients Living with Type 2 Diabetes.

Purpose: Poor medication adherence (MA) is linked to an increased likelihood of hospital admission. Early interventions to address MA may reduce this risk and associated health-care costs. This study aimed to evaluate a holistic Patient Reported Outcome Measure (PROM) of MA, known as SPUR, as a predictor of general admission and early readmission in patients living with Type 2 Diabetes. Patients and Methods: An observational study design was used to assess data collected over a 12-month period including 6-month retrospective and 6-month prospective monitoring of the number of admissions and early readmissions (admissions occurring within 30 days of discharge) across the cohort. Patients (n = 200) were recruited from a large South London NHS Trust. Covariates of interest included: age, ethnicity, gender, level of education, income, the number of medicines and medical conditions, and a Covid-19 diagnosis. A Poisson or negative binomial model was employed for count outcomes, with the exponentiated coefficient indicating incident ratios (IR) [95% CI]. For binary outcomes (Coefficient, [95% CI]), a logistic regression model was developed. Results: Higher SPUR scores (increased adherence) were significantly associated with a lower number of admissions (IR = 0.98, [0.96, 1.00]). The number of medical conditions (IR = 1.07, [1.01, 1.13]), age ≥80 years (IR = 5.18, [1.01, 26.55]), a positive Covid-19 diagnosis during follow-up (IR = 1.83, [1.11, 3.02]) and GCSE education (IR = 2.11, [1.15,3.87]) were factors associated with a greater risk of admission. When modelled as a binary variable, only the SPUR score (-0.051, [-0.094, -0.007]) was significantly predictive of an early readmission, with patients reporting higher SPUR scores being less likely to experience an early readmission. Conclusion: Higher levels of MA, as determined by SPUR, were significantly associated with a lower risk of general admissions and early readmissions among patients living with Type 2 Diabetes.

An Observational Cohort Study to Evaluate the Impact of a Tailored Medicines Optimisation Service on Medication Use, Accident and Emergency Department Visits, and Admissions Among Patients Identified with Medication Support Needs in Secondary Care.

Purpose: Quantifying the impact of pharmacy interventions, such as tailored medicines optimisation, can be challenging owing to the sometimes-indirect nature of their effect on patient outcomes such A&E (Accident & Emergency) attendance, hospital admission and length of stay. This study aimed to assess the impact of the, Lewisham Integrated Medicines Optimisation Service (LIMOS) on medicines self-management, A&E attendances and hospital admissions. Patients and Methods: The study was conducted as a retrospective and prospective observational evaluation of patients referred to LIMOS at University Hospital Lewisham between April and September 2016. Only patients with an appropriate referral that received a LIMOS intervention within the study period were considered eligible. The main outcomes examined pre- and post-LIMOS included medicines self-management, A&E attendance, number of admissions, as well as length of stay. Results: Data were collected for a total of 193 patients. Over half (56.4%, n = 109) identified as female with a mean age of 78 years at the time of referral. The number of hospital admissions decreased significantly post-LIMOS (-0.36 ± 1.87, 95% CI -0.63-0.10). Furthermore, the mean reduction in length of stay was significant and decreased by over a week (19.58 vs 11.09 days post-LIMOS, -7.67 ± 48.57, 95% CI -14.57--0.78). There was a significant increase in A&E visits observed post-intervention (0.78 ± 1.93, 95% CI 0.50-1.06); however, the majority (63%, n =165/261) occurred over 90 days post-intervention. There was a significant reduction in the number of patients self-managing medication post-LIMOS, with the number of patients receiving additional support with their medication increasing (-0.38 ± 0.50, 95% CI -0.45--0.31). LIMOS, therefore, successfully identified patients who were unable to manage their medicines. Conclusion: Specialist pharmacy interventions, which include support with medicines management, have a positive impact on admission avoidance and length of hospital stay.

A Systematic Analysis of Reviews Exploring the Scope, Validity, and Reporting of Patient-Reported Outcomes Measures of Medication Adherence in Type 2 Diabetes.

Introduction: Non-adherence to medicines is estimated to cost billions to healthcare providers across the US and Europe each year. Addressing medication adherence (MA) can be challenging. Patient-reported outcome measures (PROMs) have been developed to collect self-reported data on MA, among other behaviours. Despite the myriad PROMs available and their widespread implementation in research, there is little commentary or standardization on the way they are reported, or their validity assessed. This review aims to provide a comprehensive analysis of systematic reviews (SRs) that report PROMs of MA with a focus on type 2 diabetes to explore PROM reporting and validity. Materials and Methods: A literature search was conducted using the following databases: PubMed, EMBASE, CINAHL, Cochrane, and Web of Science. SRs reporting on PROMs related to MA behaviour in patients living with type 2 diabetes were included. Any SR published in English prior to December 2021 was included. Abstract and title screening were performed prior to full-text review by two independent researchers with discrepancies managed by a third. Protocols and SRs reporting on paediatric populations were excluded. Results: A total of 19 eligible SRs that included 241 unique PROM studies were captured from the initial 2074 records that were identified. Data were captured across a 30-year scope, with roughly half (47.4%, n=9/19) of the SRs published in the last 5 years. In total, 104 unique PROMs were identified. Inclusion of non-validated PROMs was identified in 63.2% (n=12/19) of the included SRs, and reporting issues were identified in 47.3% of studies (n=114/241). A lower journal impact factor was significantly associated with a higher prevalence of validity issues (r=0.44, p=0.04). Conclusion: There are a broad range of available PROMs; however, they have been reported inconsistently in the literature, often lacking significant evidence with respect to validity criteria. Standardization of reporting and assessments of validity may help to address this.

Development of the SPUR tool: a profiling instrument for patient treatment behavior.

BACKGROUND: Long-term treatment adherence is a worldwide concern, with nonadherence resulting from a complex interplay of behaviors and health beliefs. Determining an individual's risk of nonadherence and identifying the drivers of that risk are crucial for the development of successful interventions for improving adherence. Here, we describe the development of a new tool assessing a comprehensive set of characteristics predictive of patients' treatment adherence based on the Social, Psychological, Usage and Rational (SPUR) adherence framework. Concepts from existing self-reporting tools of adherence-related behaviors were identified following a targeted MEDLINE literature review and a subset of these concepts were then selected for inclusion in the new tool. SPUR tool items, simultaneously generated in US English and in French, were tested iteratively through two rounds of cognitive interviews with US and French patients taking long-term treatments for chronic diseases. The pilot SPUR tool, resulting from the qualitative analysis of patients' responses, was then adapted to other cultural settings (China and the UK) and subjected to further rounds of cognitive testing. RESULTS: The literature review identified 27 relevant instruments, from which 49 concepts were included in the SPUR tool (Social: 6, Psychological: 13, Usage: 11, Rational: 19). Feedback from US and French patients suffering from diabetes, multiple sclerosis, or breast cancer (n = 14 for the first round; n = 16 for the second round) indicated that the SPUR tool was well accepted and consistently understood. Minor modifications were implemented, resulting in the retention of 45 items (Social: 5, Psychological: 14, Usage: 10, Rational: 16). Results from the cognitive interviews conducted in China (15 patients per round suffering from diabetes, breast cancer or chronic obstructive pulmonary disease) and the UK (15 patients suffering from diabetes) confirmed the validity of the tool content, with no notable differences being identified across countries or chronic conditions. CONCLUSION: Our qualitative analyses indicated that the pilot SPUR tool is a promising model that may help clinicians and health systems to predict patient treatment behavior. Further steps using quantitative methods are needed to confirm its predictive validity and other psychometric properties.

SPUR: psychometric properties of a patient-reported outcome measure of medication adherence in type 2 diabetes.

INTRODUCTION: Poor medication adherence is associated with worsening patient health outcomes and increasing healthcare costs. A holistic tool to assess both medication adherence and drivers of adherence behaviour has yet to be developed. This study aimed to examine SPUR, a multifactorial patient-reported outcome measure of medication adherence in patients living with type 2 diabetes, with a view to develop a suitable model for psychometric analysis.Furthermore, the study aimed to explore the relationship between the SPUR model and socio-clinical factors of medication adherence. RESEARCH DESIGN AND METHODS: The study recruited 378 adult patients living with type 2 diabetes from a mix of community and secondary-care settings to participate in this non-interventional cross-sectional study. The original SPUR-45 tool was completed by participants with other patient-reported outcome measures for comparison, in addition to the collection of two objective adherence measures; HbA1c and the medication possession ratio (MPR). RESULTS: Factor and reliability analysis conducted on SPUR-45 produced a revised and more concise version (27-items) of the tool, SPUR-27, which was psychometrically assessed. SPUR-27 observed strong internal consistency with significant correlations to the other psychometric measures (Beliefs about Medication Questionnaire, Diabetes Treatment Satisfaction Questionnaire, Medicine Adherence Rating Scale) completed by participants. Higher SPUR-27 scores were associated with lower HbA1c values and a higher MPR, as well as other predicted socio-clinical factors such as higher income, increased age and lower body mass index. CONCLUSIONS: SPUR-27 demonstrated strong psychometric properties. Further work should look to examine the test-retest reliability of the model as well as examine transferability to other chronic conditions and broader population samples. Overall, the initial findings suggest that SPUR-27 is a reliable model for the multifactorial assessment of medication adherence among patients living with type 2 diabetes.

Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data.

BACKGROUND: Understanding the impact of socio-economic inequality on health outcomes is arguably more relevant than ever before given the global repercussions of Covid-19. With limited resources, innovative methods to track disease, population needs, and current health and social service provision are essential. To best make use of currently available data, there is an increasing reliance on technology. One approach of interest is the implementation and integration of mapping software. This research aimed to determine the usability and acceptability of a methodology for mapping public health data using GIS technology. METHODS: Prototype multi-layered interactive maps were created demonstrating relationships between socio-economic and health data (vaccination and admission rates). A semi-structured interview schedule was developed, including a validated tool known as the System Usability Scale (SUS), which assessed the usability of the mapping model with five stakeholder (SH) groups. Fifteen interviews were conducted across the 5 SH and analysed using content analysis. A Kruskal-Wallis H test was performed to determine any statistically significant difference for the SUS scores across SH. The acceptability of the model was not affected by the individual use of smart technology among SHs. RESULTS: The mean score from the SUS for the prototype mapping models was 83.17 out of 100, indicating good usability. There was no statistically significant difference in the usability of the maps among SH (p = 0.094). Three major themes emerged with respective sub-themes from the interviews including: (1) Barriers to current use of data (2) Design strengths and improvements (3) Multiple benefits and usability of the mapping model. CONCLUSION: Irrespective of variations in demographics or use of smart technology amongst interviewees, there was no significant difference in the usability of the model across the stakeholder groups. The average SUS score for a new system is 68. A score of 83.17 was calculated, indicative of a "good" system, as falling within the top 10% of scores. This study has provided a potential digital model for mapping public health data. Furthermore, it demonstrated the need for such a digital solution, as well as its usability and future utilisation avenues among SH.

Development and evaluation of a serious game to support learning among pharmacy and nursing students.

BACKGROUND AND PURPOSE: Serious games (SGs) are a digital method that promotes learning through playability. DOSE is a SG that aims to improve the use and navigation of the British National Formulary, a standard medicines reference source. This research aimed to design and examine the playability and perceptions of DOSE within healthcare curricula. EDUCATIONAL ACTIVITY AND SETTING: The study used gaming psychology concepts to design DOSE and evaluated it across two cohorts of students from the undergraduate pharmacy and nursing courses at Kingston University. Pre- and post-game questionnaires were utilised to examine usability and student perceptions. SG playability and validity were measured against standard criteria using validated assessment frameworks. Cronbach's α was calculated to determine the internal reliability of the framework assessments. FINDINGS: The SG was validated for playability, functionality, and rationale (α ≥ 0.8). The majority (95%, n = 95) of pharmacy students reported they would use DOSE again with 58% (n = 58) indicating they would use the SG as a revision tool. DOSE was also perceived positively among the nursing cohort, with 84% (n = 118) indicating they would like to see DOSE embedded within the curriculum; 77% (n = 108) agreed DOSE had helped to improve their knowledge of pharmacology. SUMMARY: DOSE playability and validity was reported by pharmacy students. Nursing students reported a significant increase in confidence using the BNF and overall high acceptability of DOSE as a SG. DOSE was found to be a usable SG model across both cohorts.

Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK.

OBJECTIVES: This study forms the user requirements phase of the OPTIMAL project, which, through a predictive model and supportive intervention, aims to decrease early hospital readmissions. This phase aims to investigate the needs and characteristics of patients who had been admitted to hospital ≥2 times in the past 12 months. SETTING: This was a cross-sectional study involving patients from Croydon University Hospital (CUH), London, UK. PARTICIPANTS: A total of 347 patients responded to a postal questionnaire, a response rate of 12.7%. To meet the inclusion criteria, participants needed to be aged ≥18 and have been admitted ≥2 times in the previous 12 months (August 2014-July 2015) to CUH. PRIMARY AND SECONDARY OUTCOMES: To profile patients identified as frequent admitters to assess gaps in care at discharge or post-discharge. Additionally, to understand the patients' experience of admission, discharge and post-discharge care. RESULTS: The range of admissions in the past 12 months was 2-30, with a mean of 2.8. At discharge 72.4% (n=231/347) were not given a contact for out-of-hours help. Regression analysis identified patient factors that were significantly associated with frequent admissions (>2 in 12 months), which included age (p=0.008), being in receipt of care (p=0.005) and admission due to a fall (p=0.01), but not receiving polypharmacy. Post-discharge, 41.8% (n=145/347) were concerned about being readmitted to the hospital. In the first 30 days after discharge, over half of patients (54.5% n=189/347) had no contact from a healthcare professional. CONCLUSION: Considering that social care needs were more of a determinant of admission risk than medical needs, rectifying the lack of integration, communication and the under-utilisation of existing patient services could prevent avoidable problems during the transition of care and help decrease the likelihood of hospital readmission.

Development and evaluation of an educational game to support pharmacy students.

INTRODUCTION: United Kingdom pharmacy students need to efficiently navigate the British National Formulary (BNF), a standard medicines reference source. "Pharmacy Challenge" is a web-based prototype game based on the BNF. This research aimed to evaluate the game in terms of design, content, and impact on students' performance and confidence. METHODS: Evaluation was comprised of three phases: implementation, perception, and impact. Game design and evaluation methods were modelled using adapted elements of the Relevance Embedding Translation Adaption Immersion and Naturalisation framework. Qualitative and quantitative questionnaires were utilised to assess students' perceptions of the game and its role in their education and to evaluate changes in confidence and performance after playing the game. Quizzes were developed to determine changes in performance. RESULTS: The questionnaire evaluation (n = 152) found students' confidence increased significantly (p < .05) in speed of using, knowledge of BNF sections, extracting information, and knowing where to look for the answer. Most students (88%) felt they had learnt something new and 86% felt that it reinforced their learning. A significant (p < .05) increase in pre- and post- BNF quiz marks was observed. CONCLUSIONS: Statistically significant improvement in students' perceived confidence was noted. The study identified design elements such as the need for a simple interface to encourage engagement. The prototype has undergone a design transformation based on the feedback provided and is now released under the name "DOSE" with a bank of 300 questions, improved graphics, a leadership board, and medals.

Health champions in South London: evaluation of training, and impact on public health.

OBJECTIVES: The Healthy Living Pharmacy framework, introduced in England in 2008, provides a tailored approach to the implementation of pharmacy services locally, facilitated by qualified 'Health Champions' (HCs). The study aimed to evaluate the perceived value of the 1-day level 2 HC training by assessing knowledge and confidence of HC pre- and post-training, and changes in practice. The views of additional stakeholders on factors that either obstructed or facilitated pharmacy engagement are also explored. METHODS: This study used a mixed method approach. Pre- and post-training surveys evaluating HC pre-existing knowledge and understanding of their role were used. Additionally, qualitative semi-structured interviews were undertaken with four key groups: participating pharmacists, non-participating pharmacists, Local Pharmaceutical Committee leads and Public Health Leads from Public Health England. KEY FINDINGS: A total of 354 pre-training evaluation surveys were completed on the training day (100%), compared to 54 post-evaluation postal surveys with a 19% (n = 54/282) response rate. The post-evaluation of the training indicated that 83% (n = 45) of qualified HC were actively implementing their new role, with observed increased confidence and service provision. From the 22 interviews conducted two major themes emerged including: Training and Impact. Training had a positive impact on staff knowledge and confidence plus service delivery. CONCLUSION: An immediate impact was observed in increasing HC knowledge and confidence, service delivery and awareness of facilities for patient sign-posting. There was no statistical evidence to support a positive effect stemming from training on services. However, it was identified that time and further training were needed to both provide and assess value within local public health.

Sea-level rise and archaeological site destruction: An example from the southeastern United States using DINAA (Digital Index of North American Archaeology).

The impact of changing climate on terrestrial and underwater archaeological sites, historic buildings, and cultural landscapes can be examined through quantitatively-based analyses encompassing large data samples and broad geographic and temporal scales. The Digital Index of North American Archaeology (DINAA) is a multi-institutional collaboration that allows researchers online access to linked heritage data from multiple sources and data sets. The effects of sea-level rise and concomitant human population relocation is examined using a sample from nine states encompassing much of the Gulf and Atlantic coasts of the southeastern United States. A 1 m rise in sea-level will result in the loss of over >13,000 recorded historic and prehistoric archaeological sites, as well as over 1000 locations currently eligible for inclusion on the National Register of Historic Places (NRHP), encompassing archaeological sites, standing structures, and other cultural properties. These numbers increase substantially with each additional 1 m rise in sea level, with >32,000 archaeological sites and >2400 NRHP properties lost should a 5 m rise occur. Many more unrecorded archaeological and historic sites will also be lost as large areas of the landscape are flooded. The displacement of millions of people due to rising seas will cause additional impacts where these populations resettle. Sea level rise will thus result in the loss of much of the record of human habitation of the coastal margin in the Southeast within the next one to two centuries, and the numbers indicate the magnitude of the impact on the archaeological record globally. Construction of large linked data sets is essential to developing procedures for sampling, triage, and mitigation of these impacts.