Adherence to chronic disease management is critical to achieving improved health outcomes, quality of life, and cost-effective health care. As the burden of chronic diseases continues to grow ...globally, so does the impact of non-adherence. Mobile technologies are increasingly being used in health care and public health practice (mHealth) for patient communication, monitoring, and education, and to facilitate adherence to chronic diseases management.
We conducted a systematic review of the literature to evaluate the effectiveness of mHealth in supporting the adherence of patients to chronic diseases management ("mAdherence"), and the usability, feasibility, and acceptability of mAdherence tools and platforms in chronic disease management among patients and health care providers.
We searched PubMed, Embase, and EBSCO databases for studies that assessed the role of mAdherence in chronic disease management of diabetes mellitus, cardiovascular disease, and chronic lung diseases from 1980 through May 2014. Outcomes of interest included effect of mHealth on patient adherence to chronic diseases management, disease-specific clinical outcomes after intervention, and the usability, feasibility, and acceptability of mAdherence tools and platforms in chronic disease management among target end-users.
In all, 107 articles met all inclusion criteria. Short message service was the most commonly used mAdherence tool in 40.2% (43/107) of studies. Usability, feasibility, and acceptability or patient preferences for mAdherence interventions were assessed in 57.9% (62/107) of studies and found to be generally high. A total of 27 studies employed randomized controlled trial (RCT) methods to assess impact on adherence behaviors, and significant improvements were observed in 15 of those studies (56%). Of the 41 RCTs that measured effects on disease-specific clinical outcomes, significant improvements between groups were reported in 16 studies (39%).
There is potential for mHealth tools to better facilitate adherence to chronic disease management, but the evidence supporting its current effectiveness is mixed. Further research should focus on understanding and improving how mHealth tools can overcome specific barriers to adherence.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Amoxicillin is recommended as first-line antibiotic treatment for community-acquired pneumonia, the leading infectious cause of mortality in children aged less than 5 years. We conducted a ...double-blind, randomized controlled non-inferiority trial comparing 3- to 5-day amoxicillin treatment for non-severe chest-indrawing pneumonia in HIV-negative children aged 2 to 59 months in Malawi. In a secondary analysis, we assessed the frequency of serious adverse events (SAEs) during the trial to evaluate the safety of treatment with amoxicillin. Enrolled children with non-severe chest-indrawing pneumonia were randomized to either 3- or 5-day amoxicillin and followed for 14 days to track clinical outcomes. In addition to evaluation for treatment failure (primary endpoint, day 6), relapse, and study drug adherence, children were assessed for adverse events, including SAEs, which were managed per local standard clinical practice until resolution or stabilization. Between March 2016 and April 2019, 3000 children were enrolled, with male and younger children (aged less than 24 months) demonstrating more SAEs (10.3% for males vs 8.1% for females, p = 0.04; 10.0% for 2-6 months, 10.8% for 7-11 months, 9.7% for 12-23 months and 5.6% for 24-59 months, p = 0.01). The most common SAEs were progression of or recurrent pneumonia (220 SAEs in 217 children), acute gastroenteritis (14 SAEs in 14 children), and fever (8 SAEs in 8 children); however, there were no significant or substantive differences in the percentage of children with pneumonia-related, acute gastroenteritis, or fever SAEs noted between the 3- versus 5-day amoxicillin treatment groups. In our pediatric community-acquired pneumonia trial evaluating amoxicillin treatment, there were relatively few SAEs overall and very few attributed to amoxicillin. Duration of amoxicillin treatment did not impact the frequency of SAEs. We found male and younger children appear to be more vulnerable to SAEs in our trial; however, our data support previous data demonstrating the safety of amoxicillin use in children with pneumonia.Clinical trial registration: ClinicalTrials.gov (NCT02678195).
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•Comparison of fast-breathing vs chest-indrawing community-acquired pneumonia.•Male and younger children appear more vulnerable to chest-indrawing pneumonia.•Understanding sex-, age-, and ...nutrition-related differences informs interventions.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Accurate clinical sensors and devices are essential to support optimal medical decision-making, and accuracy can be demonstrated through the conduct of clinical validation studies using validated ...reference sensors and/or devices for comparison. Typically unmeasurable, the true reference value can be substituted with an accepted physiological measurement with an associated uncertainty. We describe a basic model of measurement uncertainty that specifies the factors that may degrade the accuracy of an observed measurement value from a sensor, and we detail validation study design strategies that may be used to quantify and minimize these uncertainties. In addition, we describe a model that extends the observed measurement uncertainty to the resultant clinical decision and the factors that may impact the uncertainty of this decision. Clinical validation studies should be designed to estimate and minimize uncertainty that is unrelated to the sensor accuracy. The contribution of measurement observation uncertainty to clinical decision-making should be minimized but also acknowledged and incorporated into the clinical decision-making process.
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Children in Malawi with chest-indrawing pneumonia were randomly assigned to a 3-day or a 5-day regimen of amoxicillin. The 3-day regimen was noninferior to the 5-day regimen with respect to the ...incidence of treatment failure (5.9% vs. 5.2%). The frequency of adverse events was similar in the two groups.
Vaccination to reduce antimicrobial resistance Ginsburg, Amy Sarah; Klugman, Keith P
The Lancet global health,
December 2017, 2017-12-00, 20171201, 2017-12-01, Volume:
5, Issue:
12
Journal Article
Peer reviewed
Open access
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Point-of-care ultrasound has the potential to help inform assessment, diagnosis, and management of illness in low- and middle-income countries (LMIC). To better understand current ultrasound use, ...barriers and facilitators to use, and perceptions and practices in LMIC, we conducted an anonymous online global survey targeting healthcare providers training and using ultrasound in LMIC. A total of 241 respondents representing 62 countries participated and most were physicians working in publicly-funded urban tertiary hospitals in LMIC. Most had received ultrasound training (78%), reported expertise (65%) and confidence (90%) in ultrasound use, and had access to ultrasound (88%), utilizing ultrasound most commonly for procedures and for evaluations of lungs, heart, and trauma. Access to an ultrasound machine was reported as both the top barrier (17%) and top facilitator (53%); other common barriers included access to education and training, cost, and competition for use and other common facilitators included access to a probe, gel, and electricity, and acceptance by healthcare providers, administrators, and patients. Most (80%) noted ultrasound access was important and 96% agreed that ultrasound improves quality of care and patient outcomes. Improving access to low-cost ultrasound equipment is critical to increasing ultrasound use among those who are trained.
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•The utility of clinical assessment every 3 hours in children with pneumonia was evaluated.•Despite frequent assessments, post-discharge treatment failure was not identified.•Reliable parameters for ...risk stratification in childhood pneumonia are needed.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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