OBJECTIVE: This study aims to assess the prevalence of smartphone ownership, the level of comfort in providing the personal information required to use mHealth apps, and interest in using an mHealth app to access harm reduction services among PWID to guide the development of an app.
METHODS: We administered a survey to 115 PWID who were enrolled via respondent-driven sampling from July 2018 to July 2019. We examined the extent to which PWID had access to smartphones; were comfortable in providing personal information such as name, email, and address; and expressed interest in various app-based services. We measured participant characteristics (demographics, health status, and behaviors) and used binary logistic and Poisson regressions to identify independent correlates of mHealth-related variables. The primary regression outcomes included summary scores for access, comfort, and interest. The secondary outcomes included binary survey responses for individual comfort or interest components.
RESULTS: Most participants were White (74/105, 70.5%), male (78/115, 67.8%), and middle-aged (mean=41.7 years), and 67.9% (74/109) owned a smartphone. Participants reported high levels of comfort in providing personal information to use an mHealth app, including name (96/109, 88.1%), phone number (92/109, 84.4%), email (85/109, 77.9%), physical address (85/109, 77.9%), and linkage to medical records (72/109, 66.1%). Participants also reported strong interest in app-based services, including medication or sterile syringe delivery (100/110, 90.9%), lab or appointment scheduling (90/110, 81.8%), medication reminders (77/110, 70%), educational material (65/110, 59.1%), and group communication forums (64/110, 58.2%). Most participants were comfortable with the idea of home delivery of syringes (93/109, 85.3%). Homeless participants had lower access to smartphones (adjusted odds ratio [AOR] 0.15, 95% CI 0.05-0.46; P=.001), but no other participant characteristics were associated with primary outcomes. Among secondary outcomes, recent SSP use was positively associated with comfort with the home delivery of syringes (AOR 3.29, 95% CI 1.04-10.3 P=.04), and being older than 50 years was associated with an increased interest in educational materials (AOR 4.64, 95% CI 1.31-16.5; P=.02) and group communication forums (AOR 3.69, 95% CI 1.10-12.4; P=.04).
CONCLUSIONS: Our findings suggest that aside from those experiencing homelessness or unstable housing, PWID broadly have access to smartphones, are comfortable with sharing personal information, and express interest in a wide array of services within an app. Given the suboptimal access to and use of SSPs among PWID, an mHealth app has a high potential to address the harm reduction needs of this vulnerable population.
METHODS: This study included participants from the intervention arm of a randomised controlled trial which was conducted to evaluate the effects of pharmacist-led interventions on CML patients treated with TKIs. Participants were recruited and followed up in the haematology clinics of two hospitals in Malaysia from March 2017 to January 2019. A pharmacist identified DRPs and helped to resolve them. Patients were followed-up for six months, and their DRPs were assessed based on the Pharmaceutical Care Network Europe Classification for DRP v7.0. The identified DRPs, the pharmacist's interventions, and the acceptance and outcomes of the interventions were recorded. A Poisson multivariable regression model was used to analyse factors associated with the number of identified DRPs per participant.
RESULTS: A total of 198 DRPs were identified from 65 CML patients. The median number of DRPs per participants was 3 (interquartile range: 2, 4). Most participants (97%) had at least one DRP, which included adverse drug events (45.5%), treatment ineffectiveness (31.5%) and patients' treatment concerns or dissatisfaction (23%). The 228 causes of DRPs identified comprised the following: lack of disease or treatment information, or outcome monitoring (47.8%), inappropriate drug use processes (23.2%), inappropriate patient behaviour (19.9%), suboptimal drug selection (6.1%), suboptimal dose selection (2.6%) and logistic issues in dispensing (0.4%). The number of concomitant medications was significantly associated with the number of DRPs (adjusted Odds Ratio: 1.100; 95% CI: 1.005, 1.205; p = 0.040). Overall, 233 interventions were made. These included providing patient education on disease states or TKI-related side effects (75.1%) and recommending appropriate instructions for taking medications (7.7%). Of the 233 interventions, 94.4% were accepted and 83.7% were implemented by the prescriber or patient. A total of 154 DRPs (77.3%) were resolved.
CONCLUSIONS: The pharmacist-led interventions among CML patients managed to identify various DRPs, were well accepted by both TKI prescribers and patients, and had a high success rate of resolving the DRPs.
METHODS: Following a systematic literature review, drug survival at 12 and 12-24 months of followup was estimated by summing proportions of patients continuing treatment and dividing by number of studies. Drug survival at ≥ 36 months of followup was estimated through Metaprop.
RESULTS: There were 170 publications included. In the first-line setting, drug survival at 12 months with ETN, IFX, or ADA was 71%, 69%, and 70%, respectively, while at 12-24 months the corresponding rates were 63%, 57%, and 59%. In the second-line setting, drug survival at 12 months with ETN, IFX, or ADA was 61%, 69%, and 55%, respectively, while at 12-24 months the corresponding rates were 53%, 39%, and 43%. Drug survival at ≥ 36 months with ETN, IFX, or ADA in the first-line setting was 59% (95% CI 46-72%), 49% (95% CI 43-54%), and 51% (95% CI 41-60%), respectively, while in the second-line setting the corresponding rates were 56% (95% CI 52-61%), 48% (95% CI 40-55%), and 41% (95% CI 36-47%). Discontinuation of ETN, IFX, and ADA at 36 months of followup was 38-48%, 42-62%, and 38-59%, respectively. Data on CZP and GOL were scarce.
CONCLUSION: After > 12 months of followup, more patients with RA receiving ETN remain on treatment compared with other tumor necrosis factor inhibitors.
METHODS: Using empirical data from Hartford, Connecticut, we deployed a stochastic block model to simulate an injection network of 1574 PWID. We used a susceptible-infected model for HCV and human immunodeficiency virus to evaluate the effectiveness of several HCV TasP strategies, including in combination with OAT and SSP scale-up, over 20 years.
RESULTS: At the highest HCV prevalence (75%), when OAT coverage is increased from 10% to 40%, combined with HCV treatment of 10% per year and SSP scale up to 40%, the time to achieve microelimination is reduced from 18.4 to 11.6 years. At the current HCV prevalence (60%), HCV TasP strategies as low as 10% coverage per year may achieve HCV microelimination within 10 years, with minimal impact from additional OAT scale-up. Strategies based on mass initial HCV treatment (50 per 100 PWID the first year followed by 5 per 100 PWID thereafter) were most effective in settings with HCV prevalence of 60% or lower.
CONCLUSIONS: Scale-up of HCV TasP is the most effective strategy for microelimination of HCV. OAT scale-up, however, scale-up may be synergistic toward achieving microelimination goals when HCV prevalence exceeds 60% and when HCV treatment coverage is 10 per 100 PWID per year or lower.
AIM: To determine the survival outcomes of New Zealand patients with unresectable or metastatic melanoma treated with pembrolizumab or nivolumab.
METHODS: This is a national retrospective cohort study. Patients with advanced unresectable or metastatic melanoma who received publicly funded immune-checkpoint inhibitors (ICIs) from 2017 to 2019 were included. Individual patient data were extracted from national administrative databases. The primary endpoint was OS, and secondary endpoints included OS by age, duration of treatment, posttreatment survival, and 30-day mortality from last pharmaceutical claim.
RESULTS: Five hundred ninety-seven patients were included, with a median follow-up of 25 months. One-year OS was 72%, the 2-year OS estimate was 60%, and median OS not reached. Survival did not differ by dichotomized age (≥70 vs. <70 year old), hazard ratio (HR) .94 (95% confidence interval (CI): .72-1.22; p = .62). Median duration of treatment was 9.0 months (95% CI: 7.9-10.1). Median post-treatment survival for the subgroup who had ceased treatment was 12.0 months (95% CI: 9.0-14.0). For the sample as a whole, the estimated 30-day mortality from last pharmaceutical claim was 15.7%.
CONCLUSION: OS in our New Zealand real-world population is comparable to pivotal clinical trials and real-world data (RWD) from other countries. These findings support the achievement of health gains from use of ICI in advanced unresectable and metastatic melanoma.
AIM: Our aim is to develop and validate a pharmaceutical assessment screening tool (PAST) to guide medical ward pharmacists in our local hospitals to effectively prioritise patient care.
METHOD: This study involved 2 major phases; (1) development of PAST through literature review and group discussion, (2) validation of PAST using a three-round Delphi survey. Twenty-four experts were invited by email to participate in the Delphi survey. In each round, experts were required to rate the relevance and completeness of PAST criteria and were given chance for open feedback. The 75% consensus benchmark was set and criteria with achieved consensus were retained in PAST. Experts' suggestions were considered and added into PAST for rating. After each round, experts were provided with anonymised feedback and results from the previous round.
RESULTS: Three Delphi rounds resulted in the final tool (rearranged as mnemonic 'STORIMAP'). STORIMAP consists of 8 main criteria with 29 subcomponents. Marks are allocated for each criteria in STORIMAP which can be combined to a total of 15 marks. Patient acuity level is determined based on the final score and clerking priority is assigned accordingly.
CONCLUSION: STORIMAP potentially serves as a useful tool to guide medical ward pharmacists to prioritise patients effectively, hence establishing acuity-based pharmaceutical care.