Systematic review of end stage renal disease in Pakistan: Identifying implementation research outcomes.

AIM AND OBJECTIVES: The aim of this study was to conduct a systematic review analysis to identify and evaluate the available literature on implementation science outcomes research in relation to End Stage Renal Disease (ESRD) in Pakistan. METHODS: A systematic database search of PubMed, Web of Science, EMBASE, Cochrane Library, CINAHL, and Ovid was conducted through October 22nd, 2022, without any restrictions on publication dates. A screening and data extraction tool, Covidence, was used to evaluate the literature against our inclusion and exclusion criteria. Furthermore, a Mixed Methods Appraisal Tool (MMAT) was used to evaluate the selected studies. RESULTS: We identified four studies that presented findings of implementation outcomes research which were related to appropriateness, feasibility, and acceptability. Appropriateness was examined using knowledge scores (p = 0.022) and medication adherence scores (p < 0.05) that showed statistical significance between the control and intervention groups. Acceptability was assessed through a cross sectional quantitative descriptive study that evaluated the reasons for refusal and acceptance of treatment in a cohort of patients suffering from ESRD. Feasibility was examined in one cross sectional, and one mixed methods study that aimed to evaluate and understand the impact of initiating dialysis treatment and the feasibility of maintaining it in low-income families that care for children or adults with ESRD. CONCLUSION: The preliminary results of this review indicate a gap in the availability of implementation research studies about ESRD in Pakistan. The burden of ESRD, and the implementation methods by which it is treated is notable in Pakistan and requires evidence-based measures to be implemented to support the critical healthcare delivery platforms that provide treatment.

Evidence-based interventions to reduce maternal malnutrition in low and middle-income countries: a systematic review.

Introduction: Despite remarkable strides in global efforts to reduce maternal mortality, low-and middle-income countries (LMICs) continue to grapple with a disproportionate burden of maternal mortality, with malnutrition emerging as a significant contributing factor to this enduring challenge. Shockingly, malnourished women face a mortality risk that is twice as high as their well-nourished counterparts, and a staggering 95% of maternal deaths in 2020 occurred within LMICs. The critical importance of addressing maternal malnutrition in resource-constrained settings cannot be overstated, as compelling research studies have demonstrated that such efforts could potentially save thousands of lives. However, the landscape is marred by a scarcity of evidence-based interventions (EBIs) specifically tailored for pregnant individuals aimed at combatting maternal malnutrition and reducing mortality rates. It is against this backdrop that our study endeavors to dissect the feasibility, adoption, sustainability, and cost-effectiveness of EBIs designed to combat maternal malnutrition. Methods: Our comprehensive search encompassed eight prominent databases covering the period from 2003 to 2022 in LMICs. We began our study with a comprehensive search across multiple databases, yielding a total of 149 studies. From this initial pool, we eliminated duplicate entries and the remaining studies underwent a thorough screening process resulting in the identification of 63 full-text articles that aligned with our predefined inclusion criteria. Results: The meticulous full-text review left us with a core selection of six articles that shed light on interventions primarily centered around supplementation. They underscored a critical issue -the limited understanding of effective implementation in these countries, primarily attributed to inadequate monitoring and evaluation of interventions and insufficient training of healthcare professionals. Moreover, our findings emphasize the pivotal role of contextual factors, such as cultural nuances, public trust in healthcare, the prevalence of misinformation, and concerns regarding potential adverse effects of interventions, which profoundly influence the successful implementation of these programs. Discussion: While the EBIs have shown promise in reducing maternal malnutrition, their true potential for feasibility, adoption, cost-effectiveness, and sustainability hinges on their integration into comprehensive programs addressing broader issues like food insecurity and the prevention of both communicable and non-communicable diseases.

Implementation of non-insulin-dependent diabetes self-management education (DSME) in LMICs: a systematic review of cost, adoption, acceptability, and fidelity in resource-constrained settings.

Background: Type II diabetes (T2D), is a serious health issue accounting for 10.7% of mortality globally. 80% of cases worldwide are found in low- and middle-income countries (LMIC), with rapidly increasing prevalence. Diabetes-self management education (DSME) is a cost-effective program that provides at-risk individuals with the knowledge and skills they need to adopt lifestyle changes that will improve their health and well-being. This systematic review examined the application of DSME in LMICs and identified the corresponding implementation results (cost, fidelity, acceptance, and adoption) associated with successful implementation in low-resource settings. Methods and analysis: The available research on T2D and the use of DSME in LMIC were systematically searched for using six electronic databases (PubMed, Embase, Cochrane, Web of Science, Google Scholar, PAIS, and EBSCO Discovery) between the months of October and November of 2022. The articles that met the search criteria were subsequently imported into EndNote and Covidence for analysis. The Cochrane RoB methodology for randomized trials was used to evaluate the risk of bias (RoB) in the included studies. A narrative synthesis was used to summarize the results. Results: A total of 773 studies were imported for screening, after 203 duplicates were removed, 570 remained. Abstract and title screenings resulted in the exclusion of 487 articles, leaving 83 for full-text review. Following a full-text review, 76 articles were excluded and seven were found to be relevant to our search. The most common reasons for exclusion were study design (n = 23), lack of results (n = 14), and wrong patient population (n = 12). Conclusion: Our systemic review found that DSME can be an acceptable and cost-effective solution in LMIC. While we intended to analyze cost, adoption, acceptability, and fidelity, our investigation revealed a gap in the literature on those areas, with most studies focusing on acceptability and cost and no studies identifying fidelity or adoption. To further evaluate the efficacy of DSME and enhance health outcomes for T2D in LMICs, more research is needed on its application. Systematic Review Registration: osf.io/7482t.

An Evolving HIV Epidemic in the Middle East and North Africa (MENA) Region: A Scoping Review.

Human immunodeficiency virus (HIV) in the Middle East and North Africa (MENA) region is severely understudied despite the region's increase in new HIV infections since 2010. A key population that is particularly affected, due to the lack of adequate knowledge and proper interventional implementation, includes people who inject drugs (PWID). Furthermore, the paucity of HIV data (prevalence and trends) worsens an already critical situation in this region. A scoping review was conducted to address the scarcity of information and to synthesize the available data on HIV prevalence rates within the key population of PWID throughout the MENA region. Information was sourced from major public health databases and world health reports. Of the 1864 articles screened, 40 studies discussed the various factors contributing to the under-reporting of HIV data in the MENA region among PWID. High and overlapping risk behaviors were cited as the most prevalent reason why HIV trends were incomprehensible and hard to characterize among PWID, followed by lack of service utilization, lack of intervention-based programs, cultural norms, lack of advanced HIV surveillance systems, and protracted humanitarian emergencies. Overall, the lack of reported information limits any adequate response to the growing and unknown HIV trends throughout the region.

Evaluation of Diagnostic and Triage Accuracy and Usability of a Symptom Checker in an Emergency Department: Observational Study.

BACKGROUND: Symptom checkers are clinical decision support apps for patients, used by tens of millions of people annually. They are designed to provide diagnostic and triage advice and assist users in seeking the appropriate level of care. Little evidence is available regarding their diagnostic and triage accuracy with direct use by patients for urgent conditions. OBJECTIVE: The aim of this study is to determine the diagnostic and triage accuracy and usability of a symptom checker in use by patients presenting to an emergency department (ED). METHODS: We recruited a convenience sample of English-speaking patients presenting for care in an urban ED. Each consenting patient used a leading symptom checker from Ada Health before the ED evaluation. Diagnostic accuracy was evaluated by comparing the symptom checker's diagnoses and those of 3 independent emergency physicians viewing the patient-entered symptom data, with the final diagnoses from the ED evaluation. The Ada diagnoses and triage were also critiqued by the independent physicians. The patients completed a usability survey based on the Technology Acceptance Model. RESULTS: A total of 40 (80%) of the 50 participants approached completed the symptom checker assessment and usability survey. Their mean age was 39.3 (SD 15.9; range 18-76) years, and they were 65% (26/40) female, 68% (27/40) White, 48% (19/40) Hispanic or Latino, and 13% (5/40) Black or African American. Some cases had missing data or a lack of a clear ED diagnosis; 75% (30/40) were included in the analysis of diagnosis, and 93% (37/40) for triage. The sensitivity for at least one of the final ED diagnoses by Ada (based on its top 5 diagnoses) was 70% (95% CI 54%-86%), close to the mean sensitivity for the 3 physicians (on their top 3 diagnoses) of 68.9%. The physicians rated the Ada triage decisions as 62% (23/37) fully agree and 24% (9/37) safe but too cautious. It was rated as unsafe and too risky in 22% (8/37) of cases by at least one physician, in 14% (5/37) of cases by at least two physicians, and in 5% (2/37) of cases by all 3 physicians. Usability was rated highly; participants agreed or strongly agreed with the 7 Technology Acceptance Model usability questions with a mean score of 84.6%, although "satisfaction" and "enjoyment" were rated low. CONCLUSIONS: This study provides preliminary evidence that a symptom checker can provide acceptable usability and diagnostic accuracy for patients with various urgent conditions. A total of 14% (5/37) of symptom checker triage recommendations were deemed unsafe and too risky by at least two physicians based on the symptoms recorded, similar to the results of studies on telephone and nurse triage. Larger studies are needed of diagnosis and triage performance with direct patient use in different clinical environments.

Using a Syndemics Framework to Understand How Substance Use Contributes to Morbidity and Mortality among People Living with HIV in Africa: A Call to Action.

Substance use is increasing throughout Africa, with the prevalence of alcohol, tobacco, cannabis, and other substance use varying regionally. Concurrently, sub-Saharan Africa bears the world's largest HIV burden, with 71% of people living with HIV (PWH) living in Africa. Problematic alcohol, tobacco, and other substance use among PWH is associated with multiple vulnerabilities comprising complex behavioral, physiological, and psychological pathways that include high-risk behaviors (e.g., sexual risk-taking), HIV disease progression, and mental health problems, all of which contribute to nonadherence to antiretroviral therapy. Physiologically, severe substance use disorders are associated with increased levels of biological markers of inflammation; these, in turn, are linked to increased mortality among PWH. The biological mechanisms that underlie the increased risk of substance use among PWH remain unclear. Moreover, the biobehavioral mechanisms by which substance use contributes to adverse health outcomes are understudied in low- and middle-income countries (LMIC). Syndemic approaches to understanding the co-occurrence of substance use and HIV have largely been limited to high-income countries. We propose a syndemic coupling conceptual model to disentangle substance use from vulnerabilities to elucidate underlying disease risk for PWH. This interventionist perspective enables assessment of biobehavioral mechanisms and identifies malleable targets of intervention.

Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review.

BACKGROUND: Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by individuals and clinicians to capture health outcomes or behavioral and physiological characteristics of individuals. Although academia is taking an active role in evaluating digital sensing products, academic contributions to advancing the safe, effective, ethical, and equitable use of digital clinical measures are poorly characterized. OBJECTIVE: We performed a systematic review to characterize the nature of academic research on digital clinical measures and to compare and contrast the types of sensors used and the sources of funding support for specific subareas of this research. METHODS: We conducted a PubMed search using a range of search terms to retrieve peer-reviewed articles reporting US-led academic research on digital clinical measures between January 2019 and February 2021. We screened each publication against specific inclusion and exclusion criteria. We then identified and categorized research studies based on the types of academic research, sensors used, and funding sources. Finally, we compared and contrasted the funding support for these specific subareas of research and sensor types. RESULTS: The search retrieved 4240 articles of interest. Following the screening, 295 articles remained for data extraction and categorization. The top five research subareas included operations research (research analysis; n=225, 76%), analytical validation (n=173, 59%), usability and utility (data visualization; n=123, 42%), verification (n=93, 32%), and clinical validation (n=83, 28%). The three most underrepresented areas of research into digital clinical measures were ethics (n=0, 0%), security (n=1, 0.5%), and data rights and governance (n=1, 0.5%). Movement and activity trackers were the most commonly studied sensor type, and physiological (mechanical) sensors were the least frequently studied. We found that government agencies are providing the most funding for research on digital clinical measures (n=192, 65%), followed by independent foundations (n=109, 37%) and industries (n=56, 19%), with the remaining 12% (n=36) of these studies completely unfunded. CONCLUSIONS: Specific subareas of academic research related to digital clinical measures are not keeping pace with the rapid expansion and adoption of digital sensing products. An integrated and coordinated effort is required across academia, academic partners, and academic funders to establish the field of digital clinical measures as an evidence-based field worthy of our trust.

A Cyberbullying Media-Based Prevention Intervention for Adolescents on Instagram: Pilot Randomized Controlled Trial.

BACKGROUND: Between 15% and 70% of adolescents report experiencing cybervictimization. Cybervictimization is associated with multiple negative consequences, including depressed mood. Few validated, easily disseminated interventions exist to prevent cybervictimization and its consequences. With over 97% of adolescents using social media (such as YouTube, Facebook, Instagram, or Snapchat), recruiting and delivering a prevention intervention through social media and apps may improve accessibility of prevention tools for at-risk youth. OBJECTIVE: This study aims to evaluate the feasibility and acceptability of and obtain preliminary outcome data on IMPACT (Intervention Media to Prevent Adolescent Cyber-Conflict Through Technology), a brief, remote app-based intervention to prevent and reduce the effect of cyberbullying. METHODS: From January 30, 2020, to May 3, 2020, a national sample of 80 adolescents with a history of past-year cybervictimization was recruited through Instagram for a randomized control trial of IMPACT, a brief, remote research assistant-led intervention and a fully automated app-based program, versus enhanced web-based resources (control). Feasibility and acceptability were measured by consent, daily use, and validated surveys. Although not powered for efficacy, outcomes (victimization, bystander self-efficacy, and well-being) were measured using validated measures at 8 and 16 weeks and evaluated using a series of longitudinal mixed models. RESULTS: Regarding feasibility, 24.5% (121/494) of eligible participants provided contact information; of these, 69.4% (84/121) completed full enrollment procedures. Of the participants enrolled, 45% (36/80) were randomized into the IMPACT intervention and 55% (44/80) into the enhanced web-based resources groups. All participants randomized to the intervention condition completed the remote intervention session, and 89% (77/80) of the daily prompts were answered. The retention rate was 99% (79/80) at 8 weeks and 96% (77/80) at 16 weeks for all participants. Regarding acceptability, 100% (36/36) of the intervention participants were at least moderately satisfied with IMPACT overall, and 92% (33/36) of the participants were at least moderately satisfied with the app. At both 8 and 16 weeks, well-being was significantly higher (ß=1.17, SE 0.87, P=.02 at 8 weeks and ß=3.24, SE 0.95, P<.001 at 16 weeks) and psychological stress was lower (ß=-.66, SE 0.08, P=.04 at 8 weeks and ß=-.89, SE 0.09, P<.001 at 16 weeks) among IMPACT users than among control group users. Participants in the intervention group attempted significantly more bystander interventions than those in the control group at 8 weeks (ß=.82, SE 0.42; P=.02). CONCLUSIONS: This remote app-based intervention for victims of cyberbullying was feasible and acceptable, increased overall well-being and bystander interventions, and decreased psychological stress. Our findings are especially noteworthy given that the trial took place during the COVID-19 pandemic. The use of Instagram to recruit adolescents can be a successful strategy for identifying and intervening with those at the highest risk of cybervictimization. TRIAL REGISTRATION: ClinicalTrials.gov NCT04259216; http://clinicaltrials.gov/ct2/show/NCT04259216.

Feasibility and Cost of Using Instagram to Recruit Adolescents to a Remote Intervention.

PURPOSE: The purpose of this study was to describe the feasibility, cost-effectiveness, and generalizability of a strategy for recruiting adolescents into research studies through social media. METHODS: We designed and tested six Instagram advertisements (ads) with a combination of Instagram campaign objectives (Traffic vs. Reach) and types of placement (Story vs. Feed). The goal was to obtain remote assent and screen for a larger remote behavioral intervention study. The eligibility criteria for screening were being aged 13-17 years, residing in the United States, and English-speaking. The eligibility for the larger study was past year cybervictimization and smartphone ownership. A target sample was 80 participants, randomly assigned to a control or intervention group and followed up for 16 weeks. Recruitment rates and cost-per-enrolled participant with different advertising strategies, demographics, and retention were examined using descriptive statistics. RESULTS: The six ads were run over 907.5 hours, generating 1,069,747 impressions, 2,051 click-throughs, and 663 completed screening surveys. Of 493 eligible participants, 24.4% assented to participate, 69.4% completed enrollment, and 4.8% dropped/withdrew after randomization. Average advertising costs were $52/participant; the lowest-cost strategy (Traffic campaign + Feed ad placement) was $19/enrolled participant. The study sample was largely white (81.3%), non-Hispanic (87.5%), and female (77.5%) with an average age of 15.33 years. Nearly half of the participants were identified as lesbian, gay, or bisexual. More than 96% of participants were retained at the 16-week follow-up. CONCLUSIONS: Instagram can be a feasible and cost-effective way to recruit adolescents for a remote study. This method may be ideal for recruiting hard-to-reach audiences.

Mobile Peer-Support for Opioid Use Disorders: Refinement of an Innovative Machine Learning Tool.

BACKGROUND: The majority of individuals with Opioid Use Disorder (OUD) do not receive any formal substance use treatment. Due to limited engagement and access to traditional treatment, there is increasing evidence that patients with OUDs turn to online social platforms to access peer support and obtain health-related information about addiction and recovery. Interacting with peers before and during recovery is a key component of many evidence-based addiction recovery programs, and may improve self-efficacy and treatment engagement as well as reduce relapse. Commonly-used online social platforms are limited in utility and scalability as an adjunct to addiction treatment; lack effective content moderation (e.g., misinformed advice, maliciousness or "trolling"); and lack common security and ethical safeguards inherent to clinical care. METHODS: This present study will develop a novel, artificial-intelligence (AI) enabled, mobile treatment delivery method that fulfills the need for a robust, secure, technology-based peer support platform to support patients with OUD. Forty adults receiving outpatient buprenorphine treatment for OUD will be asked to pilot a smartphone-based mobile peer support application, the "Marigold App", for a duration of six weeks. The program will use (1) a prospective cohort study to obtain text message content and feasibility metrics, and (2) qualitative interviews to evaluate usability and acceptability of the mobile platform. ANTICIPATED FINDINGS AND FUTURE DIRECTIONS: The Marigold mobile platform will allow patients to access a tailored chat support group 24/7 as a complement to different forms of clinical OUD treatment. Marigold can keep groups safe and constructive by augmenting chats with AI tools capable of understanding the emotional sentiment in messages, automatically "flagging" critical or clinically relevant content. This project will demonstrate the robustness of these AI tools by adapting them to catch OUD-specific "flags" in peer messages while also examining the adoptability of the platform itself within OUD patients.

A technology-augmented intervention to prevent peer violence and depressive symptoms among at-risk emergency department adolescents: Protocol for a randomized control trial.

BACKGROUND: Peer violence and depressive symptoms are increasingly prevalent among adolescents, and for many, use the emergency department (ED) as their primary source of healthcare. Brief in-person interventions and longitudinal text-message-based interventions are feasible, acceptable, and may be effective in reducing peer violence and depressive symptoms when delivered in the ED setting. This paper presents the study design and protocol for an in-ED brief intervention (BI) and text messaging program (Text). METHODS: This study will be conducted in a pediatric ED which serves over 50,000 pediatric patients per year. Recruitment of study participants began in August 2018 and anticipated to continue until October 2021. The study will enroll 800 adolescents (ages13-17) presenting to the ED for any reason who self-report past-year physical peer violence and past-two week mild-to-moderate depressive symptoms. The study will use a factorial randomized trial to test both overall intervention efficacy and determine the optimal combination of intervention components. A full 2 × 2 factorial design randomizes patients at baseline to 1) BI or no BI; and 2) Text or no Text. Peer violence and depressive symptoms improvements will be measured at 2, 4, and 8 months through self-report and medical record review. DISCUSSION: This study has important implications for the progress of the greater field of mobile health interventions, as well as for adolescent violence and depression prevention in general. This proposal has high clinical and public health significance with high potential scalability, acceptability, and impact.

Using High-Risk Adolescents' Voices to Develop a Comprehensible Cognitive Behavioral Therapy-Based Text-Message Program.

At-risk adolescents' comprehension of, and preferences for, the content of a text-message (SMS) delivered, cognitive behavioral therapy (CBT)-based depression prevention intervention was investigated using two qualitative studies. Adolescents with depressive symptoms and a history of peer violence were recruited from an urban emergency department. Forty-one participants completed semi-structured qualitative interviews. Thematic analysis using deductive and inductive codes were used to capture a priori and emerging themes. Five major themes were identified: CBT-based messages resonated with at-risk adolescents; high levels of peer violence, comorbid symptoms, and prior exposure to the mental health system were variables affecting preferred content; participants endorsed emotional regulation messages, but found mindfulness content difficult to understand via SMS; cognitive awareness and restructuring content was most acceptable when framed by self-efficacy content; adolescent participants generated applicable CBT content in their own voices. Overall, CBT-informed content was able to be distilled into 160-character text messages without losing its comprehensibility.

PTSD, cyberbullying and peer violence: prevalence and correlates among adolescent emergency department patients.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is often underdiagnosed and undertreated among adolescents. The objective of this analysis was to describe the prevalence and correlates of symptoms consistent with PTSD among adolescents presenting to an urban emergency department (ED). METHODS: A cross-sectional survey of adolescents aged 13-17 years presenting to the ED for any reason was conducted between August 2013 and March 2014. Validated self-report measures were used to measure mental health symptoms, violence exposure and risky behaviors. Multivariate logistic regression analysis was performed to determine adjusted differences in associations between symptoms consistent with PTSD and predicted correlates. RESULTS: Of 353 adolescents, 23.2% reported current symptoms consistent with PTSD, 13.9% had moderate or higher depressive symptoms and 11.3% reported past-year suicidal ideation. Adolescents commonly reported physical peer violence (46.5%), cyberbullying (46.7%) and exposure to community violence (58.9%). On multivariate logistic regression, physical peer violence, cyberbullying victimization, exposure to community violence, female gender and alcohol or other drug use positively correlated with symptoms consistent with PTSD. CONCLUSIONS: Among adolescents presenting to the ED for any reason, symptoms consistent with PTSD, depressive symptoms, physical peer violence, cyberbullying and community violence exposure are common and interrelated. Greater attention to PTSD, both disorder and symptom levels, and its cooccurring risk factors is needed.

"You need to get them where they feel it": Conflicting Perspectives on How to Maximize the Structure of Text-Message Psychological Interventions for Adolescents.

Mobile psychological interventions are of growing interest, particularly for populations with little access to traditional mental health services. Optimum structural components of these interventions are unknown. In this study, twenty-one adolescents (age 13-17) with past two week depressive symptoms were recruited from the emergency department to participate in a semi-structured interview, to inform development of a text-message-based depression prevention intervention. Teens expressed conflict about intervention structure. Although trust and reliability were essential to sustain engagement, teens disagreed about how to best maintain reliability; whether the program should be "pushed" or "pulled"; and what the ideal degree of human interaction would be. These findings highlight the challenges in automating psychological interventions that are normally delivered face-to-face. Data indicate a broad desire for developing tailoring methods for system design (duration, frequency, and level of interactivity). The paper closes with thoughts about potential solutions to these structural issues for mobile psychological interventions.