Analysis Of Routine Data Research Articles

Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria

Background: This paper aims to promote the use of interrupted time series analyses of routine data as a responsive feedback tool to improve public health programs on an ongoing basis. This methodology is demonstrated by measuring the effect of a radio campaign to promote a family planning call center in Nigeria on the demand for family planning information and explains how the results were used to adapt the program. Methods: We used a single group interrupted time series design (ITS) as a responsive feedback mechanism to determine whether the radio campaign influenced use of the Honey&Banana call center. ITS is ideal when a control group is not available and assumes that an interruption of the trend in the outcome measure occurs after the intervention starts. ITS uses the pre-intervention trend to predict what would have happened if the intervention were absent. Results: After conducting ITS analyses, the results show that the number of calls requesting family planning information increased throughout the campaign period, with a gain of about 500 additional calls per month, and then decreased after the campaign ended. However, the number of calls gained from the campaign was substantially lower than anticipated. Conclusions: While end-of-project impact evaluations are necessary, there should be regular feedback system to provide program implementers with information about the status of the project, such as failures, successes, and areas of improvements. This would allow implementers to make necessary adjustments as needed throughout the intervention period. The finding that the radio campaign was not living up to expectations helped program implementers to end the campaign prematurely and re-allocate resources to a more promising activity. Our research shows that basic ITS analysis of routine data can be a useful tool for receiving regular feedback to guide programming improvements.

Effect of CYP2D6 pharmacogenetic phenotype and phenoconversion on serum concentrations of antidepressants and antipsychotics: a retrospective cohort study.

Pharmacogenetics (PGx), especially in regard to CYP2D6, is gaining more importance in routine clinical settings. Including phenoconversion effects (PC) in result interpretation could maximize its potential benefits. However, studies on genetics of pharmacokinetic genes including the functional enzyme status are lacking. The retrospective analyses of clinical routine data aimed to investigating how the CYP2D6 functional enzyme status affects serum concentrations and metabolite-to-parent ratios of seven common psychotropic drugs and allows an evaluation of the relevance of this information for patient care. Two patient cohorts (total n = 316; 44.2 ± 15.4years) were investigated for the CYP2D6 functional enzyme status and its associations with drug exposure and metabolism of venlafaxine, amitriptyline, mirtazapine, sertraline, escitalopram, risperidone and quetiapine. We found an increase in intermediate and poor metabolizers, as well as a decrease in normal metabolizers of CYP2D6 when including PC. Moreover, we found associations between amitriptyline exposure with the phenoconversion-corrected activity score of CYP2D6 (Spearman correlation; p = 0.03), and risperidone exposure with CYP2D6 functional enzyme status (Kruskal-Wallis test; p = 0.01), as well as between metabolite-to-parent ratio of venlafaxine and risperidone with CYP2D6 functional enzyme status (Kruskal-Wallis test; p < 0.001; p = 0.05). The data stress the relevance of PC-informed PGx in psychopharmacological treatment and suggest that PC should be included in PGx result interpretation when PGx is implemented in routine clinical care, especially before initiating amitriptyline- or risperidone-treatment, to start with a dose adequate to the respective CYP2D6 functional enzyme status. Moreover, PGx and therapeutic drug monitoring should be used complementary but not alternatively.

Whole exome sequencing analysis and prenatal diagnosis in children with neurodevelopmental disorders

To explore the application value of whole exome sequencing (WES) in the diagnosis of prenatal and postnatal neurodevelopmental disorders (NDDs). A total of 70 patients diagnosed with NDDs who underwent WES at the Medical Genetics Center of the Maternal and Child Health Hospital of Hubei Province between June 2020 and July 2021 were retrospectively analyzed. Genomic DNA was extracted from peripheral blood samples and amniotic fluid. WES-based copy number variant (CNV) analysis was integrated into the routine WES data analysis pipeline. The results showed that a molecular diagnosis rate could be made in 21/70 (30%) cases. Of 21 positive cases, 14 (23%) cases were detected by single-nucleotide variant/small insertion/deletion (SNV/Indel) analysis, of which 12 variants were novel, 6 (9.8%) cases were detected by WES-based CNV analysis, and 1 (1.6%) case was detected by a combination of both. The diagnostic yield of WES combined with CNV analysis was higher than that of SNV/Indel analysis alone (30%, 21/70 vs. 20%, 14/70). Of the 28 prenatally diagnosed cases, 6 cases were found to have inherited parental variation for NDDs, 10 cases were found not to have the same pathogenic variation as the proband, and the remaining 12 cases were found to have no pathogenic or likely pathogenic variation that could explain the NDDs phenotype. Clinical follow-up showed that 5 families opted for abortion and the remaining had no current abnormalities. In conclusion, WES may be an effective method to clarify the genetic etiology and prenatal diagnosis of NDDs, which is helpful in assessing the prognosis to aid clinical management and reproductive guidance.

DbCAN3: automated carbohydrate-active enzyme and substrate annotation.

Carbohydrate active enzymes (CAZymes) are made by various organisms for complex carbohydrate metabolism. Genome mining of CAZymes has become a routine data analysis in (meta-)genome projects, owing to the importance of CAZymes in bioenergy, microbiome, nutrition, agriculture, and global carbon recycling. In 2012, dbCAN was provided as an online web server for automated CAZyme annotation. dbCAN2 (https://bcb.unl.edu/dbCAN2) was further developed in 2018 as a meta server to combine multiple tools for improved CAZyme annotation. dbCAN2 also included CGC-Finder, a tool for identifying CAZyme gene clusters (CGCs) in (meta-)genomes. We have updated the meta server to dbCAN3 with the following new functions and components: (i) dbCAN-sub as a profile Hidden Markov Model database (HMMdb) for substrate prediction at the CAZyme subfamily level; (ii) searching against experimentally characterized polysaccharide utilization loci (PULs) with known glycan substates of the dbCAN-PUL database for substrate prediction at the CGC level; (iii) a majority voting method to consider all CAZymes with substrate predicted from dbCAN-sub for substrate prediction at the CGC level; (iv) improved data browsing and visualization of substrate prediction results on the website. In summary, dbCAN3 not only inherits all the functions of dbCAN2, but also integrates three new methods for glycan substrate prediction.

Exploring children’s formal help-seeking behaviour for violence in Zimbabwe: analysis of national survey and routine service provider data

ObjectivesTo explore knowledge of formal services and help-seeking behaviour for violence among Zimbabwean children aged 18 years and under.DesignWe use cross-sectional data from the 2017 Zimbabwe Violence Against Children Survey...

Lipoprotein(a) As a Risk Factor in a Cohort of Hospitalised Cardiovascular Patients: A Retrospective Clinical Routine Data Analysis.

Lipoprotein(a) (Lp(a)) is a well-recognised risk factor for ischemic heart disease (IHD) and calcific aortic valve stenosis (AVS). A retrospective observational study of Lp(a) levels (mg/dL) in patients hospitalised for cardiovascular diseases (CVD) in our clinical routine was performed. The Lp(a)-associated risk of hospitalisation for IHD, AVS, and concomitant IHD/AVS versus other non-ischemic CVDs (oCVD group) was assessed by means of logistic regression. In total of 11,767 adult patients, the association with Lp(a) was strongest in the IHD/AVS group (eβ = 1.010, p < 0.001), followed by the IHD (eβ = 1.008, p < 0.001) and AVS group (eβ = 1.004, p < 0.001). With increasing Lp(a) levels, the risk of IHD hospitalisation was higher compared with oCVD in women across all ages and in men aged ≤75 years. The risk of AVS hospitalisation was higher only in women aged ≤75 years (eβ = 1.010 in age < 60 years, eβ = 1.005 in age 60-75 years, p < 0.05). The Lp(a)-associated risk was highest for concomitant IHD/AVS hospitalisations. The differential impact of sex and age was most pronounced in the AVS group with an increased risk only in women aged ≤75 years.

Prevalence of metabolic syndrome : Analysis based on routine statutory health insurance data

The metabolic syndrome is a decisive risk factor for the manifestation of cardiovascular and metabolic diseases. Metabolic syndrome is the term used to describe the joint presence of specific diseases (obesity, hypertension, type2 diabetes mellitus, disorders of fat metabolism). Aclassification is made more difficult by inconsistent definition criteria and amissing International Statistical Classification of Diseases and Related Health Problems (ICD) code. There are no known prevalence studies for Germany based on routine data of the statutory health insurance (GKV). The main aim of the present study was to classify the metabolic syndrome based on routine data of the GKV and to estimate the frequency of diagnosis. In addition, the influence of social factors (school and educational qualifications) was examined for the subgroup of employees with social insurance. Aretrospective routine data analysis was carried out based on routine administrative data from the AOK Lower Saxony (AOKN). In contrast to the established definitions, which use medical parameters, the risk factors are taken into account via four coded diagnoses according to the ICD-10 classification: 1)obesity (E66.0, E66.8, E66.9), 2)type 2 diabetes mellitus (E11), 3)hypertension (I10) and 4)metabolic disorders (E78). Ametabolic syndrome is present if at least two of the four diagnoses are present. The prevalence of metabolic syndrome in the population of the AOKN in 2019 was 25.7%. The standardized comparison according to the census population of 2011 showed an increase in the frequency of diagnosis (2009: 21.5% and 2019: 24%). The frequency of diagnosis differed according to school and educational qualifications. Aclassification and analysis of the frequency of the metabolic syndrome based on routine data of the GKV is possible. Between 2009 and 2019 there was a clear increase in the frequency of diagnoses.

Molecular genetic diagnosis of kidney ciliopathies: Lessons from interpreting genomic sequencing data and the requirement for accurate phenotypic data.

Massively parallel sequencing (MPS) techniques have made a major impact on the identification of the genetic basis of inherited kidney diseases such as the ciliopathy autosomal dominant polycystic kidney disease (ADPKD). Great care must be taken when analysing MPS data in isolation from accurate phenotypic information, as this can cause misdiagnosis. Here, we describe a family trio, recruited to the Genomics England 100,000 Genomes Project, labelled as having cystic kidney disease, who were genetically unsolved following routine data analysis pipelines. We performed a bespoke reanalysis of Whole Genome Sequencing (WGS) data and coupled this with revised phenotypic data and targeted PCR and Sanger sequencing to provide a precise molecular genetic diagnosis. We detected a heterozygous PKD1 frameshift variant within the WGS data which segregated with the redefined ADPKD phenotypes. An additional heterozygous exon deletion in ALG8 was also found in affected and unaffected individuals, but its precise clinical significance remains unclear. This case illustrates that reanalysis of WGS data in unsolved cases of cystic kidney disease is valuable. Clinical phenotypes must be reassessed as these may have been incorrectly recorded and evolve over time. Undertaking additional studies including genotype-phenotype correlation in wider family members provides useful diagnostic information.

Assessing the impact of the COVID-19 restrictions on HIV testing services in Malawi: an interrupted time series analysis

Background: Restrictions on public gatherings and movement to mitigate the spread of COVID-19 may have disrupted access and availability of HIV services in Malawi. We quantified the impact of these restrictions on HIV testing services in Malawi. Methods: We conducted an interrupted time series analysis of routine aggregated programme data from 808 public and private, adult and paediatric health facilities across rural and urban communities in Malawi between January 2018 and March 2020 (pre-restrictions) and April to December 2020 (post restrictions), with April 2020 as the month restrictions took effect. Positivity rates were expressed as the proportion of new diagnoses per 100 persons tested. Data were summarised using counts and median monthly tests stratified by sex, age, type of health facility and service delivery points at health facilities. The immediate effect of restriction and post-lockdown outcomes trends were quantified using negative binomial segmented regression models adjusted for seasonality and autocorrelation. Results: The median monthly number of HIV tests and diagnosed people living with HIV (PLHIV) declined from 261 979 (interquartile range [IQR] 235 654–283 293) and 7 929 (IQR 6 590–9 316) before the restrictions, to 167 307 (IQR 161 122–185 094) and 4 658 (IQR 4 535–5 393) respectively, post restriction. Immediately after restriction, HIV tests declined by 31.9% (incidence rate ratio [IRR] 0.681; 95% CI 0.619–0.750), the number of PLHIV diagnosed declined by 22.8% (IRR 0.772; 95% CI 0.695–0.857), while positivity increased by 13.4% (IRR 1.134; 95% CI 1.031–1.247). As restrictions eased, total HIV testing outputs and the number of new diagnoses increased by an average of 2.3% each month (slope change: 1.023; 95% CI 1.010–1.037) and 2.5% (slope change:1.025; 95% CI 1.012–1.038) respectively. Positivity remained similar (slope change: 1.001; 95% CI 0.987–1.015). Unlike general trends noted, while HIV testing services among children aged <12 months declined 38.8% (IRR 0.351; 95% CI 0.351–1.006) with restrictions, recovery has been minimal (slope change: 1.008; 95% CI 0.946–1.073). Conclusion: COVID-19 restrictions were associated with significant but short-term declines in HIV testing services in Malawi, with differential recovery in these services among population subgroups, especially infants. While efforts to restore HIV testing services are commendable, more nuanced strategies that promote equitable recovery of HIV testing services can ensure no subpopulations are left behind.

Hepatitis C treatment program in Maputo, Mozambique, the challenge of genotypes and key populations: A 5-year retrospective analysis of routine programmatic data.

Hepatitis C (HCV) programs face challenges, especially linked to key populations to achieve World Health Organization (WHO) goals of eliminating hepatitis. Médecins Sans Frontières and Mozambique's Ministry of Health first implemented HCV treatment in Maputo, in 2016 and harm reduction activities in 2017. We retrospectively analyzed routine data of patients enrolled between December 2016 and July 2021. Genotyping was systematically requested up to 2018 and subsequently in cases of treatment failure. Sustainable virological response was assessed 12 weeks after the end of treatment by sofosbuvir-daclatasvir or sofosbuvir-velpatasvir. Two hundred and two patients were enrolled, with 159 (78.71%) males (median age: 41 years [interquartile range (IQR): 37.10, 47.00]). Risk factors included drug use (142/202; 70.29%). One hundred and eleven genotyping results indicated genotype 1 predominant (87/111; 78.37%). Sixteen patients presented genotype 4, with various subtypes. The people who used drugs and HIV coinfected patients were found more likely to present a genotype 1. Intention-to-treat analysis showed 68.99% (89/129) cure rate among the patients initiated and per-protocol analysis, 88.12% (89/101) cure rate. Nineteen patients received treatment integrated with opioid substitution therapy, with a 100% cure rate versus 59.37% (38/64) for initiated ones without substitution therapy (p < 0.001). Among the resistance testing performed, NS5A resistance-associated substitutions were found in seven patients among the nine tested patients and NS5B ones in one patient. We found varied genotypes, including some identified as difficult-to-treat subtypes. People who used drugs were more likely to present genotype 1. In addition, opioid substitution therapy was key for these patients to achieve cure. Access to second-generation direct-acting antivirals (DAAs) and integration of HCV care with harm reduction are crucial to program effectiveness.

Using telehealth to support community health workers in Uganda during COVID-19: a mixed-method study

BackgroundAt the onset of the COVID-19 pandemic, a local consortium in Uganda set up a telehealth approach that aimed to educate 3,500 Community Health Workers (CHW) in rural areas about COVID-19, help them identify, refer and care for potential COVID-19 cases, and support them in continuing their regular community health work. The aim of this study was to assess the functioning of the telehealth approach that was set up to support CHWs during the COVID-19 pandemic.MethodsFor this mixed-method study, we combined analysis of routine consultation data from the call-center, 24 interviews with key-informants and two surveys of 150 CHWs. Data were analyzed using constant comparative method of analysis.ResultsBetween March 2020 and June 2021, a total of 35,553 consultations took place via the call center. While the CHWs made extensive use of the call center, they rarely asked for support for potential Covid-19 cases. According to the CHWs, there were no signs that people in their communities were suffering from severe health problems due to COVID-19. People compared the lack of visible symptoms to diseases such as Ebola and were skeptical about the danger of COVID-19. At the same time, people in rural areas were afraid to report relevant symptoms and get tested for fear of being quarantined and stigmatized. The telehealth approach did prove useful for other purposes, such as supporting CHWs with their regular tasks and coordinating the supply of essential products. The health professionals at the call center supported CHWs in diagnosing, referring and treating patients and adhering to infection prevention and control practices. The CHWs felt more informed and less isolated, saying the support from the call center helped them to provide better care and improved the supply of medicine and other essential health products.ConclusionsThe telehealth approach, launched at the start of the COVID-19 pandemic, provided useful support to thousands of CHWs in rural communities in Uganda. The telehealth approach could be quickly set up and scaled up and offers a low cost strategy for providing useful and flexible support to CHWs in rural communities.

Neurosurgical care for patients with high-grade gliomas during the coronavirus disease 2019 pandemic: Analysis of routine billing data of a German nationwide hospital network.

Little is known about delivery of neurosurgical care, complication rate and outcome of patients with high-grade glioma (HGG) during the coronavirus disease 2019 (Covid-19) pandemic. This observational, retrospective cohort study analyzed routine administrative data of all patients admitted for neurosurgical treatment of an HGG within the Helios Hospital network in Germany. Data of the Covid-19 pandemic (March 1, 2020-May 31, 2022) were compared to the pre-pandemic period (January 1, 2016-February 29, 2020). Frequency of treatment and outcome (in-hospital mortality, length of hospital stay [LOHS], time in intensive care unit [TICU] and ventilation outside the operating room [OR]) were separately analyzed for patients with microsurgical resection (MR) or stereotactic biopsy (STBx). A total of 1763 patients underwent MR of an HGG (648 patients during the Covid-19 pandemic; 1115 patients in the pre-pandemic period). 513 patients underwent STBx (182 [pandemic]; 331 patients [pre-pandemic]). No significant differences were found for treatment frequency (MR: 2.95 patients/week [Covid-19 pandemic] vs. 3.04 patients/week [pre-pandemic], IRR 0.98, 95% CI: 0.89-1.07; STBx (1.82 [Covid-19 pandemic] vs. 1.86 [pre-pandemic], IRR 0.96, 95% CI: 0.80-1.16, P > .05). Rates of in-hospital mortality, infection, postoperative hemorrhage, cerebral ischemia and ventilation outside the OR were similar in both periods. Overall LOHS was significantly shorter for patients with MR and STBx during the Covid-19 pandemic. The Covid-19 pandemic did not affect the frequency of neurosurgical treatment of patients with an HGG based on data of a large nationwide hospital network in Germany. LOHS was significantly shorter but quality of neurosurgical care and outcome was not altered during the Covid-19 pandemic.

Discrimination between earthquakes and quarry blasts in the Aswan region, southern Egypt, using P-wave source spectra

In order to distinguish between shallow earthquakes and quarrying activity, we evaluated 3069 seismic signals from 413 occurrences (112 explosions and 301 shallow earthquakes, depths 5 km), collected by the Aswan seismic sub-network in southern Egypt from 2010 to 2021. The spectral properties and related source parameters (e.g., seismic moment and corner frequency) using the estimated P-wave source spectra for both earthquakes and quarry blasts were investigated. The analysis showed that the P-wave source spectra of shallow earthquakes have higher corner frequencies (8.8–23 Hz) than quarry blasts (1.0–2.6 Hz) within the same magnitude range. The source spectra of quarry blasts exhibited significant misfits with the omega-square model and had steeper falloffs at high frequencies. The selected quarry blasts have a narrow seismic moment range, from 2.03 × 1011 to 1.35 × 1012 Nm. Our results demonstrate that the evaluation of misfit of P-wave spectra from the omega-square source model, based on spectral amplitude characteristics of high- and low-frequency bands, is the most reliable discriminant method in the routine data analysis of the target area.

The Value of Hybrid Teledermatology in German Prisons: Analysis of Routine Telemedical Data.

Introduction: German prisons face organizational and time-consuming difficulties in access to medical specialties. Since 2019, our institute offers interdisciplinary video consultations with spatially independent dermatological support for German prisons. Methods: Documentation of n = 200 consultations between February 2020 and July 2021 with retrospective analysis of dermatological conditions and consultation requests. Results: Most cases (98.0%; 196 of 200) were performed during a regular weekly teleclinic and only few cases on urgent demand. The average duration of the skin disease before request for consultation was 10.3 ± 26.9 months (mean ± standard deviation), the majority had first onset of their disease or acute recurrence of previously known skin diseases. With respect to medical complaints, 39.7% of patients reported severe itch and 7.7% indicated severe pain. For most cases (84.0%), topical treatment and for almost one-third (32.5%) we recommended systemic treatment. The predominant number of cases was only presented once (92.0%) and further treatment of the skin disease could be managed by the medical staff inhouse. Only few consultations could not be solved virtually and were referred to local physicians for face-to-face consultations or procedures. Discussion: Teledermatological care for prisoners effectively supports the inhouse medical resources of prisons. Our interdisciplinary approach enables general practitioners and medical staff of the respective prison to manage the case and shortens the time period until therapy starts.

Accelerated institutionalization ofan adolescent sexual and reproductive health (ASRH) intervention in Tanzania: Findings from a mixed-methods evaluation.

From 2018 to 2020, Adolescents 360 (A360), aiming to increase demand for and voluntary uptake of modern contraception among adolescent girls 15-19 years, designed and scaled an intervention in Tanzania (Kuwa Mjanja) to 13 regions through project-funded expansion. In 2020, the project began to develop a strategy for its follow-on phase, focusing on program sustainability. In this process, funder priorities led to a decision to exit A360's programming in Tanzania over a 15-month exit period. A360 elected to pursue a process of expedited institutionalization of Kuwa Mjanja into government systems during this period. The institutionalization process was facilitated in 17 local government authorities in Tanzania. Quantitative and qualitative data were gathered and analyzed including time-trend analysis of routine performance data, statistical analysis of two rounds of client exit interviews, and thematic analysis of qualitative research. The sociodemographic characteristics of adolescent girls reached under government-led implementation were comparable to those reached by A360-led implementation. Intervention productivity decreased under government-led implementation but remained consistent. Adopter method mix shifted slightly toward greater long-acting and reversible contraceptive uptake under a government-led model. Factors that enabled successful institutionalization of Kuwa Mjanja included the presence of youth-supportive policies, the establishment of school clubs which provided sexual and reproductive health education, commitment of government stakeholders, and appreciation of adolescent pregnancy as a problem. Some intervention components were important for program effectiveness but proved difficult to institutionalize, primarily because of resource constraints. Lack of adolescent sexual and reproductive health (ASRH)-focused targets and indicators disincentivized Kuwa Mjanja implementation. There is significant potential in operationalizing user-centered ASRH models within government structures, even in a narrow time frame. A360 saw similar performance under government-led implementation and fidelity to the unique experience that the program was designed to deliver for adolescent girls. However, beginning this process earlier presents greater opportunities, as some aspects of the institutionalization process that are critical to sustained impact, for example, shifting government policy and measurement and mobilizing government resources, require heavy coordination and long-term efforts. Programs pursuing institutionalization in a shorter time frame would benefit from setting realistic expectations. This may include prioritizing a smaller subset of program components that have the greatest impact.

What if we wait? Using synthetic waiting lists to estimate treatment effects in routine outcome data

Objective: Due to the lack of randomization, pre–post routine outcome data precludes causal conclusions. We propose the “synthetic waiting list” (SWL) control group to overcome this limitation. Method: First, a step-by-step introduction illustrates this novel approach. Then, this approach is demonstrated using an empirical example with data from an outpatient cognitive–behavioral therapy (CBT) clinic (N = 139). We trained an ensemble machine learning model (“Super Learner”) on a data set of patients waiting for treatment (N = 311) to make counterfactual predictions of symptom change during this hypothetical period. Results: The between-group treatment effect was estimated to be d = 0.42. Of the patients who received CBT, 43.88% achieved reliable and clinically significant change, while this probability was estimated to be 14.54% in the SWL group. Counterfactual estimates suggest a clear net benefit of psychotherapy for 41% of patients. In 32%, the benefit was unclear, and 27% would have improved similarly without receiving CBT. Conclusions: The SWL is a viable new approach that provides between-group outcome estimates similar to those reported in the literature comparing psychotherapy with high-intensity control interventions. It holds the potential to mitigate common limitations of routine outcome data analysis.

An Automated Bioinformatics Pipeline Informing Near-Real-Time Public Health Responses to New HIV Diagnoses in a Statewide HIV Epidemic.

Molecular HIV cluster data can guide public health responses towards ending the HIV epidemic. Currently, real-time data integration, analysis, and interpretation are challenging, leading to a delayed public health response. We present a comprehensive methodology for addressing these challenges through data integration, analysis, and reporting. We integrated heterogeneous data sources across systems and developed an open-source, automatic bioinformatics pipeline that provides molecular HIV cluster data to inform public health responses to new statewide HIV-1 diagnoses, overcoming data management, computational, and analytical challenges. We demonstrate implementation of this pipeline in a statewide HIV epidemic and use it to compare the impact of specific phylogenetic and distance-only methods and datasets on molecular HIV cluster analyses. The pipeline was applied to 18 monthly datasets generated between January 2020 and June 2022 in Rhode Island, USA, that provide statewide molecular HIV data to support routine public health case management by a multi-disciplinary team. The resulting cluster analyses and near-real-time reporting guided public health actions in 37 phylogenetically clustered cases out of 57 new HIV-1 diagnoses. Of the 37, only 21 (57%) clustered by distance-only methods. Through a unique academic-public health partnership, an automated open-source pipeline was developed and applied to prospective, routine analysis of statewide molecular HIV data in near-real-time. This collaboration informed public health actions to optimize disruption of HIV transmission.

Public Health Response to Clusters of Rapid HIV Transmission Among Hispanic or Latino Gay, Bisexual, and Other Men Who Have Sex with Men - Metropolitan Atlanta, Georgia, 2021-2022.

During February 2021-June 2022, the Georgia Department of Public Health (GDPH) detected five clusters of rapid HIV transmission concentrated among Hispanic or Latino (Hispanic) gay, bisexual, and other men who have sex with men (MSM) in metropolitan Atlanta. The clusters were detected through routine analysis of HIV-1 nucleotide sequence data obtained through public health surveillance (1,2). Beginning in spring 2021, GDPH partnered with health districts with jurisdiction in four metropolitan Atlanta counties (Cobb, DeKalb, Fulton, and Gwinnett) and CDC to investigate factors contributing to HIV spread, epidemiologic characteristics, and transmission patterns. Activities included review of surveillance and partner services interview data,† medical chart reviews, and qualitative interviews with service providers and Hispanic MSM community members. By June 2022, these clusters included 75 persons, including 56% who identified as Hispanic, 96% who reported male sex at birth, 81% who reported male-to-male sexual contact, and 84% of whom resided in the four metropolitan Atlanta counties. Qualitative interviews identified barriers to accessing HIV prevention and care services, including language barriers, immigration- and deportation-related concerns, and cultural norms regarding sexuality-related stigma. GDPH and the health districts expanded coordination, initiated culturally concordant HIV prevention marketing and educational activities, developed partnerships with organizations serving Hispanic communities to enhance outreach and services, and obtained funding for a bilingual patient navigation program with academic partners to provide staff members to help persons overcome barriers and understand the health care system. HIV molecular cluster detection can identify rapid HIV transmission among sexual networks involving ethnic and sexual minority groups, draw attention to the needs of affected populations, and advance health equity through tailored responses that address those needs.

Determinants and rates of retention in HIV care among adolescents receiving antiretroviral therapy in Windhoek, Namibia: a baseline cohort analysis

BackgroundLong-term engagement in HIV care is essential to achieving and maintaining viral suppression. Adolescents living with HIV (ALHIV) experience many barriers to remaining engaged in care and treatment programs. Higher attrition among adolescents compared to adults remains a huge concern due to unique psychosocial and health systems challenges adolescents face, and recently the COVID-19 pandemic effects. We report on determinants and rates of retention in care in adolescents aged 10–19 years enrolled on antiretroviral therapy (ART) in Windhoek, Namibia.MethodsA retrospective cohort analysis of routine clinical data of 695 adolescents aged 10–19 years enrolled for ART at 13 Windhoek district public healthcare facilities, between January 2019 and December 2021 was conducted. Anonymized patient data were extracted from an electronic database and registers. Bivariate and Cox proportional hazards analysis were performed to determine factors associated with retention in care among ALHIV at 6, 12, 18, 24 and 36 months. Retention in care trends were also described using the Kaplan-Meier survival analysis.ResultsThe retention in care rates at 6, 12, 18, 24 and 36 months were 97.7%, 94.1%, 92.4%, 90.2%, and 84.6%, respectively. Our study population had predominantly treatment-experienced adolescents, who initiated ART between birth and 9 years (73.5%), were on treatment for > 24 months (85.0%), and on first-line ART (93.1%). After controlling for confounders, the risk of dropping out of care was increased for older adolescents aged 15–19 years (aHR = 1.964, 95% CI 1.033–3.735); adolescents on switched ART regimens (Second line + Third line regimen) (aHR = 4.024, 95% CI 2.021–8.012); adolescents who initiated ART at 15–19 years (aHR = 2.179, 95%CI 1.100-4.316); and male adolescents receiving ART at a PHC clinic (aHR = 4.322, 1.332–14.024). Conversely, the risk of ALHIV dropping out of care decreased for adolescents whose TB screen results were negative (aHR = 0.215, 95% CI 0.095–0.489).ConclusionRetention in care rates among ALHIV in Windhoek do not meet the UNAIDS revised target of 95%. Gender-specific interventions are needed to keep male and older adolescents motivated and engaged in long-term care, and to promote adherence amongst those adolescents who were initiated on ART in late adolescence (15–19 years).

Consequences of early thyroid ultrasound on subsequent tests, morbidity and costs: an explorative analysis of routine health data from German ambulatory care

ObjectivesThis study aims to evaluate whether the use of thyroid ultrasound (US) early in the work-up of suspected thyroid disorders triggers cascade effects of medical procedures and to analyse effects...