METHODS: Patients initiating cART between 2006 and 2013 were included. TI was defined as stopping cART for >1 day. Treatment failure was defined as confirmed virological, immunological or clinical failure. Time to treatment failure during cART was analysed using Cox regression, not including periods off treatment. Covariables with P < 0.10 in univariable analyses were included in multivariable analyses, where P < 0.05 was considered statistically significant.
RESULTS: Of 4549 patients from 13 countries in Asia, 3176 (69.8%) were male and the median age was 34 years. A total of 111 (2.4%) had TIs due to AEs and 135 (3.0%) had TIs for other reasons. Median interruption times were 22 days for AE and 148 days for non-AE TIs. In multivariable analyses, interruptions >30 days were associated with failure (31-180 days HR = 2.66, 95%CI (1.70-4.16); 181-365 days HR = 6.22, 95%CI (3.26-11.86); and >365 days HR = 9.10, 95% CI (4.27-19.38), all P < 0.001, compared to 0-14 days). Reasons for previous TI were not statistically significant (P = 0.158).
CONCLUSIONS: Duration of interruptions of more than 30 days was the key factor associated with large increases in subsequent risk of treatment failure. If TI is unavoidable, its duration should be minimised to reduce the risk of failure after treatment resumption.
METHODS: We conducted a retrospective cohort study by retrieving 4 years (2018-2021) of TB patients' records at 10 public health clinics in Sarawak, Malaysia. Adult patients (≥18 years) with drug-susceptible TB were selected. Treatment interruption was defined as ≥2 weeks of cumulative interruption during treatment. The Chi-square test, Mann-Whitney U test, Kaplan-Meier and Cox proportional hazards regression were used to analyse the data, with p
AIMS: to identify the prevalence of adherence to lipidlowering therapy, the factors contributing to non-adherence and knowledge regarding hyperlipidaemia and its' treatment among Malaysian patients with hyperlipidemia.
METHODS: A quantitative study using a cross-sectional survey was carried out in an urban primary care clinic in August 2015. Patients on lipid-lowering therapy for ≥ 1 year aged ≥ 18 years were selected using simple random sampling. consenting patients answered a selfadministered questionnaire (in Malay/English) which included socio-demographic profile, hyperlipidaemia profile, adherence to lipid-lowering therapy (using the Morisky Medication Adherence scale-8; score ≥ 6 taken as adherent), reasons leading to non-adherence, knowledge regarding hyperlipidaemia and its' treatment, and use of non-allopathic medicine.
RESULTS: the response rate was 90.7%. the prevalence of adherence to lipid-lowering therapy was 82.4%. "the most common reasons for non-adherence was being worried about side effect of lipid-lowering agent (71.4%), followed by the need to take too many drugs in a day (61.4%) and negative influences by friends, relative and mass media (60%)". Factors associated with non-adherence include male gender, on longer duration of therapy, less frequency of follow-up, less number of follow-up clinics, taking medication at night/random timing and having lower knowledge scores.
CONCLUSION: Overall the prevalence of adherence was high in patients with hyperlipidaemia. Interventions to boost adherence should target those who were identified as nonadherent.
METHODS: Regional Asian data (2001-2016) were analyzed to describe PHIVA who experienced ≥2 weeks of lamivudine or emtricitabine monotherapy or treatment interruption and trends in CD4 count and HIV viral load during and after episodes. Survival analyses were used for World Health Organization (WHO) stage III/IV clinical and immunologic event-free survival during monotherapy or treatment interruption, and a Poisson regression to determine factors associated with monotherapy or treatment interruption.
RESULTS: Of 3,448 PHIVA, 84 (2.4%) experienced 94 monotherapy episodes, and 147 (4.3%) experienced 174 treatment interruptions. Monotherapy was associated with older age, HIV RNA >400 copies/mL, younger age at ART initiation, and exposure to ≥2 combination ART regimens. Treatment interruption was associated with CD4 count <350 cells/μL, HIV RNA ≥1,000 copies/mL, ART adverse event, and commencing ART age ≥10 years compared with age <3 years. WHO clinical stage III/IV 1-year event-free survival was 96% and 85% for monotherapy and treatment interruption cohorts, respectively. WHO immunologic stage III/IV 1-year event-free survival was 52% for both cohorts. Those who experienced monotherapy or treatment interruption for more than 6 months had worse immunologic and virologic outcomes.
CONCLUSIONS: Until challenges of treatment adherence, engagement in care, and combination ART durability/tolerability are met, monotherapy and treatment interruption will lead to poor long-term outcomes.
OBJECTIVES: To assess the effects of mobile phone text messaging in patients with established arterial occlusive events on adherence to treatment, fatal and non-fatal cardiovascular events, and adverse effects.
SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, the Conference Proceedings Citation Index - Science on Web of Science on 7 November 2016, and two clinical trial registers on 12 November 2016. We contacted authors of included studies for missing information and searched reference lists of relevant papers. We applied no language or date restrictions.
SELECTION CRITERIA: We included randomised trials with at least 50% of the participants with established arterial occlusive events. We included trials investigating interventions using short message service (SMS) or multimedia messaging service (MMS) with the aim to improve adherence to medication for the secondary prevention of cardiovascular events. Eligible comparators were no intervention or other modes of communication.
DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. In addition, we attempted to contact all authors on how the SMS were developed.
MAIN RESULTS: We included seven trials (reported in 13 reports) with 1310 participants randomised. Follow-up ranged from one month to 12 months. Due to heterogeneity in the methods, population and outcome measures, we were unable to conduct meta-analysis on these studies. All seven studies reported on adherence, but using different methods and scales. Six out of seven trials showed a beneficial effect of mobile phone text messaging for medication adherence. Dale 2015a, reported significantly greater medication adherence score in the intervention group (Mean Difference (MD) 0.58, 95% confidence interval (CI) 0.19 to 0.97; 123 participants randomised) at six months. Khonsari 2015 reported less adherence in the control group (Relative Risk (RR) 4.09, 95% CI 1.82 to 9.18; 62 participants randomised) at eight weeks. Pandey 2014 (34 participants randomised) assessed medication adherence through self-reported logs with 90% adherence in the intervention group compared to 70% in the control group at 12 months. Park 2014a (90 participants randomised) reported a greater increase of the medication adherence score in the control group, but also measured adherence with an event monitoring system for a number of medications with adherence levels ranging from 84.1% adherence to 86.2% in the intervention group and 79.7% to 85.7% in the control group at 30 days. Quilici 2013, reported reduced odds of non-adherence in the intervention group (Odds Ratio (OR) 0.43, 95% CI 0.22 to 0.86, 521 participants randomised) at 30 days. Fang 2016, reported that participants given SMS alone had reduced odds of being non-adherent compared to telephone reminders (OR 0.40 95% CI 0.18 to 0.63; 280 patients randomised). Kamal 2015 reported higher levels of adherence in the intervention arm (adjusted MD 0.54, 95% CI 0.22 to 0.85; 200 participants randomised). Khonsari 2015 was the only study to report fatal cardiovascular events and only reported two events, both in the control arm. No study reported on the other primary outcomes. No study reported repetitive thumb injury or road traffic crashes or other adverse events that were related to the intervention.Four authors replied to our questionnaire on SMS development. No study reported examining causes of non-adherence or provided SMS tailored to individual patient characteristics.The included studies were small, heterogeneous and included participants recruited directly after acute events. All studies were assessed as having high risk of bias across at least one domain. Most of the studies came from high-income countries, with two studies conducted in an upper middle-income country (China, Malaysia), and one study from a lower middle-income country (Pakistan). The quality of the evidence was found to be very low. There was no obvious conflicts of interest from authors, although only two declared their funding.
AUTHORS' CONCLUSIONS: While the results of this systematic review are promising, there is insufficient evidence to draw conclusions on the effectiveness of text message-based interventions for adherence to medications for secondary prevention of CVD. Sufficiently powered, high-quality randomised trials are needed, particularly in low- and middle-income countries.
METHODS AND FINDINGS: This is a retrospective cohort study of all adult people living with HIV (PLWH) incarcerated in Connecticut, US, during the period January 1, 2007, to December 31, 2011, and observed through December 31, 2014 (n = 1,094). Most cohort participants were unmarried (83.7%) men (77.0%) who were black or Hispanic (78.1%) and acquired HIV from injection drug use (72.6%). Prison-based pharmacy and custody databases were linked with community HIV surveillance monitoring and case management databases. Post-release RIC declined steadily over 3 years of follow-up (67.2% retained for year 1, 51.3% retained for years 1-2, and 42.5% retained for years 1-3). Compared with individuals who were not re-incarcerated, individuals who were re-incarcerated were more likely to meet RIC criteria (48% versus 34%; p < 0.001) but less likely to have VS (72% versus 81%; p = 0.048). Using multivariable logistic regression models (individual-level analysis for 1,001 individuals after excluding 93 deaths), both sustained RIC and VS at 3 years post-release were independently associated with older age (RIC: adjusted odds ratio [AOR] = 1.61, 95% CI = 1.22-2.12; VS: AOR = 1.37, 95% CI = 1.06-1.78), having health insurance (RIC: AOR = 2.15, 95% CI = 1.60-2.89; VS: AOR = 2.01, 95% CI = 1.53-2.64), and receiving an increased number of transitional case management visits. The same factors were significant when we assessed RIC and VS outcomes in each 6-month period using generalized estimating equations (for 1,094 individuals contributing 6,227 6-month periods prior to death or censoring). Additionally, receipt of antiretroviral therapy during incarceration (RIC: AOR = 1.33, 95% CI 1.07-1.65; VS: AOR = 1.91, 95% CI = 1.56-2.34), early linkage to care post-release (RIC: AOR = 2.64, 95% CI = 2.03-3.43; VS: AOR = 1.79; 95% CI = 1.45-2.21), and absolute time and proportion of follow-up time spent re-incarcerated were highly correlated with better treatment outcomes. Limited data were available on changes over time in injection drug use or other substance use disorders, psychiatric disorders, or housing status.
CONCLUSIONS: In a large cohort of CJ-involved PLWH with a 3-year post-release evaluation, RIC diminished significantly over time, but was associated with HIV care during incarceration, health insurance, case management services, and early linkage to care post-release. While re-incarceration and conditional release provide opportunities to engage in care, reducing recidivism and supporting community-based RIC efforts are key to improving longitudinal treatment outcomes among CJ-involved PLWH.
OBJECTIVE: To assess the effect of a service containing self-management support delivered by community pharmacists to patients with asthma.
METHODS: A systematic search was performed in the following databases from inception to January 2017: PubMed, Embase, Cochrane Library's Central Register of Controlled Trials, CINAHL (Cumulative Index to Nursing and Allied Health Literature) Plus, International Pharmaceutical Abstracts, and PsycInfo. Original studies were selected if they met the following criteria: (a) provided by community pharmacists; (b) the intervention service included the essential components of asthma self-management; (c) included a usual care group; and (d) measured control/severity of asthma symptoms, health-related quality of life (HRQOL), or medication adherence.
RESULTS: Of the 639 articles screened, 12 studies involving 2,121 asthma patients were included. Six studies were randomized trials, and the other 6 were nonrandomized trials. Patients with asthma who received a self-management support service by community pharmacists had better symptom control/lower severity compared with those receiving usual care (standardized mean difference [SMD] = 0.46; 95% CI = 0.09-0.82) with high heterogeneity (I2=82.6%; P = 0.000). The overall improvement in HRQOL and medication adherence among patients in the asthma self-management support group was greater than for those in the usual care group with SMD of 0.23 (95% CI = 0.12-0.34) and 0.44 (95% CI = 0.27-0.61), respectively. Evidence of heterogeneity was not observed in these 2 outcomes.
CONCLUSIONS: Self-management support service provided by community pharmacists can help improve symptom control, quality of life, and medication adherence in patients with asthma.
DISCLOSURES: This study received financial support from Naresuan University's Faculty of Pharmaceutical Sciences Research Fund. Two authors, Saini and Krass, have studies that were included in this review. However, they were not involved in the processes that could bias outcomes of the present study, that is, quality assessment and meta-analysis. The remaining authors have declared no conflicts of interest.
METHODS: A prospective study was performed for a period of 1 year among 180 newly diagnosed schizophrenics, aged 20-60 years to observe the symptoms, medication adherence and side effects. Morisky-Green-Levine Scale was used to evaluate medication adherence, LUNSER for side effects and PANSS to measure positive and negative symptoms. Data were analyzed using SPSS.
RESULTS: Positive symptoms (Male: Baseline 36.14 vs. endpoint 23.58, Female: 35.29 vs. 23.74) and negative symptoms (Males 27.9 vs. 20.05, Females 28.41 vs. 20.2) of schizophrenia were equally reduced after a follow up of 1 year in both the genders. Male population suffered more accumulative side effects (11.4 in males vs. 6.40 in females), extrapyramidal symptoms such as tardive dyskinesia and tremors (1.21 in males vs. 0.57 in females) and other side effects as compared to women (p ≤ .005). Males were found poorly adherent to antipsychotic treatment than females (93.3% in males vs. 6.7% in females (p ≤ .005).
CONCLUSIONS: Prescribing practices should not overlook sex specific factors like hormonal changes, altered brain morphology and socioeconomic factors that may be responsible for the difference in the response to the course of schizophrenia.
OBJECTIVE: This study aimed to evaluate the impact of CMI on medication adherence and glycaemic control among patients with type 2 diabetes in Qatar.
METHODS: We developed and customised CMI for all the anti-diabetic medications used in Qatar. A randomised controlled trial in which the intervention group patients (n = 66) received the customised CMI with usual care, while the control group patients (n = 74) received usual care only, was conducted. Self-reported medication adherence and haemoglobin A1c (HbA1c ) were the primary outcome measures. Glycaemic control and medication adherence parameters were measured at baseline, 3 months, and 6 months in both groups. Medication adherence was measured using the 8-item Morisky Medication Adherence Scale (MMAS-8).
RESULTS: Although the addition of CMI resulted in better glycaemic control, this did not reach statistical significance, possibly because of the short-term follow-up. The median MMAS-8 score improved from baseline (6.6 [IQR = 1.5]) to 6-month follow-up (7.0 [IQR = 1.00]) in the intervention group. In addition, there was a statistically significant difference between the intervention and the control groups in terms of MMAS-8 score at the third visit (7.0 [IQR = 1.0]) vs 6.5 (IQR = 1.25; P-value = .010).
CONCLUSION: CMI for anti-diabetic medications when added to usual care has the potential to improve medication adherence and glycaemic control among patients with type 2 diabetes. Therefore, providing better health communication and CMI to patients with diabetes is recommended.