The prevention of mother-to-child transmission of HIV cascade analysis tool: supporting health managers to improve facility-level service delivery

Posttrial Experiences in Sustainment of a Scaled Model of the Systems Analysis and Improvement Approach (SAIA-SCALE) in the Absence of External Funding in Manica Province, Mozambique

BACKGROUND

Following the conclusion of a stepped-wedge cluster randomized trial of the Systems Analysis and Improvement Approach (SAIA) to optimize the prevention of mother-to-child HIV transmission cascade in Manica Province, Mozambique, we conducted a natural experiment to test the sustainability of the delivery model with limited financial inputs.

METHODS

District nurse supervisors were encouraged to continue to facilitate SAIA cycles in subordinate health facilities and provided phone credit and tablet access to upload implementation data. No additional resources (eg, funds for transport, refreshments, or supplies) were provided. Barriers to implementation were collected via conversations with district supervisors.

RESULTS

Monthly facilitation of SAIA cycles continued in 11 of 12 (92%) districts and 13 of 36 (36%) facilities through 12 months posttrial, which declined to 10 districts and 10 facilities by the end of the 15-month posttrial period. Despite interest among district supervisors to continue implementation, logistical and financial barriers prevented visits to facilities not in close proximity to district management offices. Turnover of district supervisors resulted in replacements not having knowledge and experience facilitating SAIA. The lack of refreshments for facility staff and limited supplies (pens and papers) were cited as additional barriers.

CONCLUSION

Despite the scalability of the SAIA model, it is susceptible to implementation decay without sufficient health system resources. Additional research is needed to test sustainment strategies that address identified barriers and enable continued delivery of the implementation strategy core components at a sufficient level of fidelity to maintain desired health system improvements and patient-level outcomes.

Systems analysis and improvement approach to optimize tuberculosis (SAIA-TB) screening, treatment, and prevention in South Africa: a stepped-wedge cluster randomized trial

BACKGROUND

The use of systems engineering tools, including the development and use of care cascades using routinely collected data, process mapping, and continuous quality improvement, is used for frontline healthcare workers to devise systems level change. South Africa experiences high rates of tuberculosis (TB) infection and disease as well as HIV co-infection. The Department of Health has made significant gains in HIV services over the last two decades, reaching their set "90-90-90" targets for HIV. However, TB services, although robust, have lagged in comparison for both disease and infection. The Systems Analysis and Improvement Approach (SAIA) is a five-step implementation science method, drawn from systems engineering, to identify, define, and implement workflow modifications using cascade analysis, process mapping, and repeated quality improvement cycles within healthcare facilities.

METHODS

This stepped-wedge cluster randomized trial will evaluate the effectiveness of SAIA on TB (SAIA-TB) cascade optimization for patients with TB and high-risk contacts across 16 clinics in four local municipalities in the Sarah Baartman district, Eastern Cape, South Africa. We hypothesize that SAIA-TB implementation will lead to a 20% increase in each of: TB screening, TB preventive treatment initiation, and TB disease treatment initiation during the 18-month intervention period. Focus group discussions and key informant interviews with clinic staff will also be conducted to determine drivers of implementation variability across clinics.

DISCUSSION

This study has the potential to improve TB screening, treatment initiation, and completion for both active disease and preventive measures among individuals with and without HIV in a high burden setting. SAIA-TB provides frontline health care workers with a systems-level view of their care delivery system with the aim of sustainable systems-level improvements.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT06314386. Registered 18 March 2024, https://clinicaltrials.gov/study/NCT06314386 . NCT06314386.

Scaling-up and scaling-out the Systems Analysis and Improvement Approach to optimize the hypertension diagnosis and care cascade for HIV infected individuals (SCALE SAIA-HTN): a stepped-wedge cluster randomized trial

BACKGROUND

Undiagnosed and untreated hypertension is a main driver of cardiovascular disease and disproportionately affects persons living with HIV (PLHIV) in low- and middle-income countries. Across sub-Saharan Africa, guideline application to screen and manage hypertension among PLHIV is inconsistent due to poor service readiness, low health worker motivation, and limited integration of hypertension screening and management within HIV care services. In Mozambique, where the adult HIV prevalence is over 13%, an estimated 39% of adults have hypertension. As the only scaled chronic care service in the county, the HIV treatment platform presents an opportunity to standardize and scale hypertension care services. Low-cost, multi-component systems-level strategies such as the Systems Analysis and Improvement Approach (SAIA) have been found effective at integrating hypertension and HIV services to improve the effectiveness of hypertension care delivery for PLHIV, reduce drop-offs in care, and improve service quality. To build off lessons learned from a recently completed cluster randomized trial (SAIA-HTN) and establish a robust evidence base on the effectiveness of SAIA at scale, we evaluated a scaled-delivery model of SAIA (SCALE SAIA-HTN) using existing district health management structures to facilitate SAIA across six districts of Maputo Province, Mozambique.

METHODS

This study employs a stepped-wedge design with randomization at the district level. The SAIA strategy will be "scaled up" with delivery by district health supervisors (rather than research staff) and will be "scaled out" via expansion to Southern Mozambique, to 18 facilities across six districts in Maputo Province. SCALE SAIA-HTN will be introduced over three, 9-month waves of intensive intervention, where technical support will be provided to facilities and district managers by study team members from the Mozambican National Institute of Health. Our evaluation of SCALE SAIA-HTN will be guided by the RE-AIM framework and will seek to estimate the budget impact from the payer's perspective.

DISCUSSION

SAIA packages user-friendly systems engineering tools to support decision-making by frontline health workers and to identify low-cost, contextually relevant improvement strategies. By integrating SAIA delivery into routine management structures, this pragmatic trial will determine an effective strategy for national scale-up and inform program planning.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05002322 (registered 02/15/2023).

Evaluating elimination of mother-to-child transmission of HIV in Suriname: a mixed method study

Objectives

To evaluate the cascade of care for the elimination of mother-to-child-transmission of human immunodeficiency virus (HIV) in Suriname and identify sociodemographic and clinical factors preventing transmission to exposed infants.

Methods

A mixed-methods study design was used. Antenatal care data from the 2018 cross-sectional multi-indicator cluster survey on 1 026 women aged 15-49 years who had had a live birth in the previous 2 years were used. Furthermore, national data on a cohort of 279 mothers with HIV and their 317 infants born from 2016 to 2018 were evaluated. Additionally, 13 cases of mother-to-child-transmission of HIV were reviewed.

Results

In 89.3% of cases, no mother-to-child HIV transmission occurred. Early cascade steps show that 28.4% of women had unmet family planning needs, 15% had no antenatal visits, 8% delivered outside a health facility, and 71.5% received an HIV test during antenatal care. Of the pregnant women with HIV, 84.2% received antiretroviral therapy, while 95.5% of their infants received HIV prophylactic treatment. Receiving antiretroviral therapy for the mother (odds ratio (OR) 45.4, 95% confidence interval (CI) 9.6-215.3) and the child (OR 145.7, 95% CI 14.4-1477.4) significantly increased the odds of a negative HIV test result in infants. Conversely, living in the interior decreased the odds (OR 0.2, 95% CI 0.4-0.7) compared with urban living.

Conclusions

HIV medication for mothers with HIV and their infants remains key in the prevention of mother-to-child-transmission of HIV. Early prenatal care with follow-up should be strengthened in Suriname.

Results of a cluster randomized trial testing the Systems Analysis and Improvement Approach to increase cervical cancer screening in family planning clinics in Mombasa County, Kenya

BACKGROUND

Cervical cancer is the leading cause of cancer death in Kenyan women. Integrating cervical cancer screening into family planning (FP) clinics is a promising strategy to improve health for reproductive-aged women. The objective of this cluster randomized trial was to test the efficacy of an implementation strategy, the Systems Analysis and Improvement Approach (SAIA), as a tool to increase cervical cancer screening in FP clinics in Mombasa County, Kenya.

METHODS

Twenty FP clinics in Mombasa County were randomized 1:1 to SAIA versus usual procedures. SAIA has five steps: (1) cascade analysis tool to understand the cascade and identify inefficiencies, (2) sequential process flow mapping to identify bottlenecks, (3) develop and implement workflow modifications (micro-interventions) to address identified bottlenecks, (4) assess the micro-intervention in the cascade analysis tool, and (5) repeat the cycle. Prevalence ratios were calculated using Poisson regression with robust standard errors to compare the proportion of visits where women were screened for cervical cancer in SAIA clinics compared to control clinics.

RESULTS

In the primary intent-to-treat analysis in the last quarter of the trial, 2.5% (37/1507) of visits with eligible FP clients at intervention facilities included cervical cancer screening compared to 3.7% (66/1793) in control clinics (prevalence ratio [PR] 0.67, 95% CI 0.45-1.00). When adjusted for having at least one provider trained to perform cervical cancer screening at baseline, there was no significant difference between screening in intervention clinics compared to control clinics (adjusted PR 1.14, 95% CI 0.74-1.75).

CONCLUSIONS

The primary analysis did not show an effect on cervical cancer screening. However, the COVID-19 pandemic and a healthcare worker strike likely impacted SAIA's implementation with significant disruptions in FP care delivery during the trial. While SAIA's data-informed decision-making and clinic-derived solutions are likely important, future work should directly study the mechanisms through which SAIA operates and the influence of contextual factors on implementation.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03514459. Registered on April 19, 2018.

Systems analysis and improvement approach to improve naloxone distribution within syringe service programs: study protocol of a randomized controlled trial

BACKGROUND

More than half a million Americans died of an opioid-related overdose between 1999 and 2020, the majority occurring between 2015 and 2020. The opioid overdose mortality epidemic disproportionately impacts Black, Indigenous, and people of color (BIPOC): since 2015, overdose mortality rates have increased substantially more among Black (114%) and Latinx (97%) populations compared with White populations (32%). This is in part due to disparities in access to naloxone, an opioid antagonist that can effectively reverse opioid overdose to prevent death. Our recent pilot work determined that many barriers to naloxone access can be identified and addressed by syringe service programs (SSPs) using the Systems Analysis and Improvement Approach to Naloxone distribution (SAIA-Naloxone). This randomized controlled trial will test SAIA-Naloxone's ability to improve naloxone distribution in general and among BIPOC specifically.

METHODS

We will conduct a trial with 32 SSPs across California, randomly assigning 16 to the SAIA-Naloxone arm and 16 to receive implementation as usual. SAIA-Naloxone is a multifaceted, multilevel implementation strategy through which trained facilitators work closely with SSPs to (1) assess organization-level barriers, (2) prioritize barriers for improvement, and (3) test solutions through iterative change cycles until achieving and sustaining improvements. SSPs receiving SAIA-Naloxone will work with a trained facilitator for a period of 12 months. We will test SAIA-Naloxone's ability to improve SSPs' naloxone distribution using an interrupted time series approach. Data collection will take place during a 3-month lead-in period, the 12-month active period, and for an additional 6 months afterward to determine whether impacts are sustained. We will use a structured approach to specify SAIA-Naloxone to ensure strategy activities are clearly defined and to assess SAIA-Naloxone fidelity to aid in interpreting study results. We will also assess the costs associated with SAIA-Naloxone and its cost-effectiveness.

DISCUSSION

This trial takes a novel approach to improving equitable distribution of naloxone amid the ongoing epidemic and associated racial disparities. If successful, SAIA-Naloxone represents an important organizational-level solution to the multifaceted and multilevel barriers to equitable naloxone distribution.

The Systems Analysis and Improvement Approach: specifying core components of an implementation strategy to optimize care cascades in public health

BACKGROUND

Healthcare systems in low-resource settings need simple, low-cost interventions to improve services and address gaps in care. Though routine data provide opportunities to guide these efforts, frontline providers are rarely engaged in analyzing them for facility-level decision making. The Systems Analysis and Improvement Approach (SAIA) is an evidence-based, multi-component implementation strategy that engages providers in use of facility-level data to promote systems-level thinking and quality improvement (QI) efforts within multi-step care cascades. SAIA was originally developed to address HIV care in resource-limited settings but has since been adapted to a variety of clinical care systems including cervical cancer screening, mental health treatment, and hypertension management, among others; and across a variety of settings in sub-Saharan Africa and the USA. We aimed to extend the growing body of SAIA research by defining the core elements of SAIA using established specification approaches and thus improve reproducibility, guide future adaptations, and lay the groundwork to define its mechanisms of action.

METHODS

Specification of the SAIA strategy was undertaken over 12 months by an expert panel of SAIA-researchers, implementing agents and stakeholders using a three-round, modified nominal group technique approach to match core SAIA components to the Expert Recommendations for Implementing Change (ERIC) list of distinct implementation strategies. Core implementation strategies were then specified according to Proctor's recommendations for specifying and reporting, followed by synthesis of data on related implementation outcomes linked to the SAIA strategy across projects.

RESULTS

Based on this review and clarification of the operational definitions of the components of the SAIA, the four components of SAIA were mapped to 13 ERIC strategies. SAIA strategy meetings encompassed external facilitation, organization of provider implementation meetings, and provision of ongoing consultation. Cascade analysis mapped to three ERIC strategies: facilitating relay of clinical data to providers, use of audit and feedback of routine data with healthcare teams, and modeling and simulation of change. Process mapping matched to local needs assessment, local consensus discussions and assessment of readiness and identification of barriers and facilitators. Finally, continuous quality improvement encompassed tailoring strategies, developing a formal implementation blueprint, cyclical tests of change, and purposefully re-examining the implementation process.

CONCLUSIONS

Specifying the components of SAIA provides improved conceptual clarity to enhance reproducibility for other researchers and practitioners interested in applying the SAIA across novel settings.

Assessing the sustainability of the Systems Analysis and Improvement Approach to increase HIV testing in family planning clinics in Mombasa, Kenya: results of a cluster randomized trial

BACKGROUND

In Kenya, HIV incidence is highest among reproductive-age women. A key HIV mitigation strategy is the integration of HIV testing and counseling (HTC) into family planning services, but successful integration remains problematic. We conducted a cluster-randomized trial using the Systems Analysis and Improvement Approach (SAIA) to identify and address bottlenecks in HTC integration in family planning clinics in Mombasa County, Kenya. This trial (1) assessed the efficacy of this approach and (2) examined if SAIA could be sustainably incorporated into the Department of Health Services (DOHS) programmatic activities. In Stage 1, SAIA was effective at increasing HTC uptake. Here, we present Stage 2, which assessed if SAIA delivery would be sustained when implemented by the Mombasa County DOHS and if high HTC performance would continue to be observed.

METHODS

Twenty-four family planning clinics in Mombasa County were randomized to either the SAIA implementation strategy or standard care. In Stage 1, the study staff conducted all study activities. In Stage 2, we transitioned SAIA implementation to DOHS staff and compared HTC in the intervention versus control clinics 1-year post-transition. Study staff provided training and minimal support to DOHS implementers and collected quarterly HTC outcome data. Interviews were conducted with family planning clinic staff to assess barriers and facilitators to sustaining HTC delivery.

RESULTS

Only 39% (56/144) of planned SAIA visits were completed, largely due to the COVID-19 pandemic and a prolonged healthcare worker strike. In the final study quarter, 81.6% (160/196) of new clients at intervention facilities received HIV counseling, compared to 22.4% (55/245) in control facilities (prevalence rate ratio [PRR]=3.64, 95% confidence interval [CI]=2.68-4.94). HIV testing was conducted with 60.5% (118/195) of new family planning clients in intervention clinics, compared to 18.8% (45/240) in control clinics (PRR=3.23, 95% CI=2.29-4.55). Interviews with family planning clinic staff suggested institutionalization contributed to sustained HTC delivery, facilitated by low implementation strategy complexity and continued oversight.

CONCLUSIONS

Intervention clinics demonstrated sustained improvement in HTC after SAIA was transitioned to DOHS leadership despite wide-scale healthcare disruptions and incomplete delivery of the implementation strategy. These findings suggest that system interventions may be sustained when integrated into DOHS programmatic activities.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT02994355) registered on 16 December 2016.

Qualitative evaluation of the Systems Analysis and Improvement Approach as a strategy to increase HIV testing in family planning clinics using the Consolidated Framework for Implementation Research and the Implementation Outcomes Framework

BACKGROUND

Significant gaps remain in HIV testing and counseling (HTC) in family planning (FP) clinics. To address these gaps, our group tested an implementation strategy called the Systems Analysis and Improvement Approach (SAIA), an evidenced-based multi-component implementation strategy focused on improving entire care cascades. In a cluster randomized trial of 24 FP clinics in Mombasa County, Kenya, SAIA led to a significant increase in HTC in intervention clinics compared to control clinics. The objective of this manuscript was to evaluate SAIA using the Consolidated Framework for Implementation Research (CFIR) and assess the Implementation Outcomes Framework outcomes of acceptability, appropriateness, and feasibility.

METHODS

This qualitative assessment was nested within the cluster-randomized trial. Data collection included questionnaires to assess modifiable and non-modifiable health system factors related to HTC and in-depth interviews to query clinic norms, priorities, communication strategies, and readiness for change. The primary outcomes of interest were feasibility, appropriateness, and acceptability of SAIA. Data on inner setting and structural characteristics of FP clinics were collected to inform how context may impact outcomes. All interviews were recorded and analyzed using a rapid assessment approach.

RESULTS

Of the 12 intervention clinics, 6 (50%) were public facilities. Availability of resources varied by clinic. Most clinics had a positive implementation climate, engaged leadership, and access to resources and information. While not all clinics identified HTC as a clinic priority, most reported a strong culture of embracing change and recognition of the importance of HIV testing within FP clinics. Interviews highlighted very high acceptability, appropriateness, and feasibility of SAIA. The implementation strategy was not complicated and fit well into existing clinic processes. In particular, staff appreciated that SAIA allowed clinic staff to generate contextually relevant solutions that they implemented.

CONCLUSIONS

SAIA was implemented in FP clinics of varying sizes, capacity, and management support and was found to be acceptable, appropriate, and feasible. The agency that clinic staff felt in proposing and implementing their own solutions was likely part of SAIA's success. We anticipate this will continue to be a mechanism of SAIA's success when it is scaled up to more clinics in future trials.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT02994355) registered 16 December 2016.

Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial

BACKGROUND

Significant investments are being made to close the mental health (MH) treatment gap, which often exceeds 90% in many low- and middle-income countries (LMICs). However, limited attention has been paid to patient quality of care in nascent and evolving LMIC MH systems. In system assessments across sub-Saharan Africa, MH loss-to-follow-up often exceeds 50% and sub-optimal medication adherence often exceeds 60%. This study aims to fill a gap of evidence-based implementation strategies targeting the optimization of MH treatment cascades in LMICs by testing a low-cost multicomponent implementation strategy integrated into routine government MH care in Mozambique.

METHODS

Using a cluster-randomized trial design, 16 clinics (8 intervention and 8 control) providing primary MH care will be randomized to the Systems Analysis and Improvement Approach for Mental Health (SAIA-MH) or an attentional placebo control. SAIA-MH is a multicomponent implementation strategy blending external facilitation, clinical consultation, and provider team meetings with system-engineering tools in an overall continuous quality improvement framework. Following a 6-month baseline period, intervention facilities will implement the SAIA-MH strategy for a 2-year intensive implementation period, followed by a 1-year sustainment phase. Primary outcomes will be the proportion of all patients diagnosed with a MH condition and receiving pharmaceutical-based treatment who achieve functional improvement, adherence to medication, and retention in MH care. The Consolidated Framework for Implementation Research (CFIR) will be used to assess determinants of implementation success. Specific Aim 1b will include the evaluation of mechanisms of the SAIA-MH strategy using longitudinal structural equation modeling as well as specific aim 2 estimating cost and cost-effectiveness of scaling-up SAIA-MH in Mozambique to provincial and national levels.

DISCUSSION

This study is innovative in being the first, to our knowledge, to test a multicomponent implementation strategy for MH care cascade optimization in LMICs. By design, SAIA-MH is a low-cost strategy to generate contextually relevant solutions to barriers to effective primary MH care, and thus focuses on system improvements that can be sustained over the long term. Since SAIA-MH is integrated into routine government MH service delivery, this pragmatic trial has the potential to inform potential SAIA-MH scale-up in Mozambique and other similar LMICs.

TRIAL REGISTRATION

ClinicalTrials.gov; NCT05103033 ; 11/2/2021.

Results of a cluster randomized trial testing the systems analysis and improvement approach to increase HIV testing in family planning clinics

OBJECTIVE

The aim of this study was to test an implementation strategy, the Systems Analysis and Improvement Approach (SAIA), to increase rates of HIV testing and counseling (HTC) in family planning clinics in Mombasa, Kenya.

DESIGN

A cluster randomized trial.

METHODS

Twenty-four family planning clinics were randomized 1 : 1 to implementing SAIA versus usual procedures. Study staff implemented monthly SAIA cycles with family planning clinic staff for 12 months. SAIA has five steps. Step 1 uses a "cascade analysis' tool to quantify the number of individuals who complete each step of a process. Step 2 involves sequential process flow mapping to identify modifiable bottlenecks in the system. Step 3 develops and implements workflow modifications to address bottlenecks. Step 4 assesses impact of the modification by recalculating the cascade analysis. Step 5 repeats the cycle. The primary outcome was the proportion of new family planning clients tested for HIV during the last quarter of the trial.

RESULTS

During the last 3 months of the trial, 85% (740/868) of new family planning clients were counseled for HIV in intervention clinics compared with 67% (1036/1542) in control clinics (prevalence rate ratio [PRR] 1.27, 95% confidence interval [CI] 1.15-1.30). Forty-two percent (364/859) of family planning clients were tested for HIV at intervention clinics compared with 32% (485/1521) at control clinics (PRR 1.33, 95% CI 1.16-1.52).

CONCLUSION

SAIA led to a significant increase in HIV testing in family planning clinics in Mombasa. Integrating routine HTC into family planning clinics is a promising strategy to achieve the UNAIDS goal of 95% of people living with HIV being aware of their status.

Providing HIV Prevention of Mother to Child Transmission (PMTCT) Services to Migrants During the COVID-19 Pandemic in South Africa: Insights of Healthcare Providers

Background:

In March 2020, COVID-19 entered South Africa, resulting in 2.9 million cases, the country took preventative and precautionary measures to control the spread of COVID-19 infection. These measures limited population mobility especially for migrant women living with HIV (WLWH) and the provision of PMTCT services. The purpose of this research was to explore the challenges of the COVID-19 pandemic on PMTCT provision by healthcare providers and understand what strategies could be implemented with lifelong antiretroviral therapy (ART) for migrants to better manage the program.

Methods:

Twelve in-depth interviews were conducted with healthcare providers across city and provincial levels on how the changes to the healthcare system with COVID-19 affected highly mobile patients’ adherence and utilization of PMTCT services. A thematic content analysis was used for emerging themes and guided by The Utilization of PMTCT Services conceptual framework.

Results:

Five main themes emerged: (1) Facilitators and barriers to adherence, which included the need for multi-month dispensing for the long term supply of antiretrovirals (ARVs) and the fear of contracting COVID-19 at the hospital that disrupted patients’ continuum of care; (2) Healthcare providers work environment, where participants felt overwhelmed with the high patient demand and the lack of infrastructural resources to follow social distancing protocols; (3) Financial challenges and opportunity costs, PMTCT proved difficult for migrants due to border closures and documentation required to receive care, this resulted in treatment interruption and left many unable to receive support at the facility due to capacity restrictions; (4) Interpersonal interactions, mistreatment, and xenophobic attitudes existed toward the migrant HIV population; and (5) “Program sustainability” revealed three key areas for strengthening: longer duration of time allocated with counseling for same-day initiation, the increased use of technology, and translation services for migrants.

Conclusions:

It is important to take what was learned during the pandemic and integrate it into routine service delivery, which includes long-term medication supply to reduce risk with multiple visits to collect medication, and the use of technology to alleviate the high-burden of patient demand. Healthcare policies that work toward inclusion and sustainability for migrants are needed to improve the integration of safer and practical methods of PMTCT provision into health systems.

Optimizing treatment cascades for mental healthcare in Mozambique: preliminary effectiveness of the Systems Analysis and Improvement Approach for Mental Health (SAIA-MH)

Substantial investments are being made to scale-up access to mental healthcare in low- and middle-income countries, but less attention has been paid to quality and performance of nascent public-sector mental healthcare systems. This study tested the initial effectiveness of an implementation strategy to optimize routine outpatient mental healthcare cascade performance in Mozambique [the Systems Analysis and Improvement Approach for Mental Health (SAIA-MH)]. This study employed a pre-post design from September 2018 to August 2019 across four Ministry of Health clinics among 810 patients and 3234 outpatient mental health visits. Effectiveness outcomes evaluated progression through the care cascade, including: (1) initial diagnosis and medication selection; (2) enrolling in follow-up care; (3) returning after initial consultation within 60 days; (4) returning for follow-up visits on time; (5) returning for follow-up visits adherent to medication and (6) achieving function improvement. Clustered generalized linear models evaluated odds of completing cascade steps pre- vs post-intervention. Facilities prioritized improvements focused on the follow-up cascade, with 62.5% (10 of 16) monthly system modifications targeting medication adherence. At baseline, only 4.2% of patient visits achieved function improvement; during the 6 months of SAIA-MH implementation, this improved to 13.1% of patient visits. Multilevel logistic regression found increased odds of returning on time and adherent [aOR = 1.53, 95% CI (1.21, 1.94), P = 0.0004] and returning on time, adherent and with function improvement [aOR = 3.68, 95% CI (2.57, 5.44), P < 0.0001] after SAIA-MH implementation. No significant differences were observed regarding other cascade steps. The SAIA-MH implementation strategy shows promise for rapidly and significantly improving mental healthcare cascade outcomes, including the ultimate goal of patient function improvement. Given poor baseline mental healthcare cascade performance, there is an urgent need for evidence-based implementation strategies to optimize the performance of mental healthcare cascades in low- and middle-income countries.

Use of data from various sources to evaluate and improve the prevention of mother-to-child transmission of HIV programme in Zimbabwe: a data integration exercise

INTRODUCTION

Despite improvements in prevention of mother-to-child transmission (PMTCT) of HIV outcomes, there remain unacceptably high numbers of mother-to-child transmissions (MTCT) of HIV. Programmes and research collect multiple sources of PMTCT data, yet this data is rarely integrated in a systematic way. We conducted a data integration exercise to evaluate the Zimbabwe national PMTCT programme and derive lessons for strengthening implementation and documentation.

METHODS

We used data from four sources: research, Ministry of Health and Child Care (MOHCC) programme, Implementer - Organization for Public Health Interventions and Development, and modelling. Research data came from serial population representative cross-sectional surveys that evaluated the national PMTCT programme in 2012, 2014 and 2017/2018. MOHCC and Organization for Public Health Interventions and Development collected data with similar indicators for the period 2018 to 2019. Modelling data from 2017/18 UNAIDS Spectrum was used. We systematically integrated data from the different sources to explore PMTCT programme performance at each step of the cascade. We also conducted spatial analysis to identify hotspots of MTCT.

RESULTS

We developed cascades for HIV-positive and negative-mothers, and HIV exposed and infected infants to 24 months post-partum. Most data were available on HIV positive mothers. Few data were available 6-8 weeks post-delivery for HIV exposed/infected infants and none were available post-delivery for HIV-negative mothers. The different data sources largely concurred. Antenatal care (ANC) registration was high, although women often presented late. There was variable implementation of PMTCT services, MTCT hotspots were identified. Factors positively associated with MTCT included delayed ANC registration and mobility (use of more than one health facility) during pregnancy/breastfeeding. There was reduced MTCT among women whose partners accompanied them to ANC, and infants receiving antiretroviral prophylaxis. Notably, the largest contribution to MTCT was from postnatal women who had previously tested negative (12/25 in survey data, 17.6% estimated by Spectrum modelling). Data integration enabled formulation of interventions to improve programmes.

CONCLUSIONS

Data integration was feasible and identified gaps in programme implementation/documentation leading to corrective interventions. Incident infections among mothers are the largest contributors to MTCT: there is need to strengthen the prevention cascade among HIV-negative women.

Using Multisite Process Mapping to Aid Care Improvement: An Examination of Inpatient Suicide-Screening Procedures

Although most suicides occur outside of medical settings, a critical and often overlooked subgroup of patients attempt and complete suicide within general medical and inpatient units. The purpose of this quality improvement initiative was to perform a baseline assessment of the current practices for suicide prevention within medical inpatient units across eight Veterans Affairs medical centers throughout the nation, as part of the VA Quality Scholars (VAQS) fellowship training program. In conjunction with the VAQS national curriculum, the authors and their colleagues used multisite process mapping and developed a heuristic process to identify best practices and improvement recommendations with the hopes of advancing knowledge related to a key organizational priority-suicide prevention. Findings demonstrate a multitude of benefits arising from this process, both in relation to system-level policy change as well as site-based clinical care. This interprofessional and multisite approach provided an avenue for process literacy and consensus building, resulting in the identification of strengths including the improvement of prevention efforts and accessibility of supportive resources, the discovery of opportunities for improvement related to risk detection and response and the patient centeredness of current prevention efforts, and the provision of solutions that aim to achieve sustained change across a complex health system.

Integrated Hypertension and HIV Care Cascades in an HIV Treatment Program in Eastern Uganda: A Retrospective Cohort Study

BACKGROUND

Persons living with HIV (PLHIV) are at increased risk of cardiovascular disease. Integration of services for hypertension (HTN), the primary cardiovascular disease risk factor, into HIV care programs is recommended in Uganda, though, uptake has been limited. We sought to compare the care cascades for HTN and HIV within an HIV program in Eastern Uganda.

METHODS

We conducted a retrospective cohort study of all PLHIV enrolled in 3 HIV clinics between 2014 and 2017. We determined the proportion of patients in the following cascade steps over 12 months: Screened, Diagnosed, Initiated on treatment, Retained, Monitored, and Controlled. Cascades were analyzed using descriptive statistics and compared using χ and t tests.

RESULTS

Of 1649 enrolled patients, 98.5% were initiated on HIV treatment, of whom 70.7% were retained in care, 100% had viral load monitoring, and 90.3% achieved control (viral suppression). Four hundred fifty-six (27.7%) participants were screened for HTN, of whom 46.9% were diagnosed, 88.1% were initiated on treatment, 57.3% were retained in care, 82.7% were monitored, and 24.3% achieved blood pressure control. There were no differences in any HIV cascade step between participants with HIV alone and those with both conditions.

CONCLUSIONS

The HIV care cascade approached global targets, whereas the parallel HTN care cascade demonstrated notable quality gaps. Management of HTN within this cohort did not negatively impact HIV care. Our findings suggest that models of integration should focus on screening PLHIV for HTN and retention and control of those diagnosed to fully leverage the successes of HIV programs.

A preliminary cervical cancer screening cascade for eight provinces rural Chinese women: a descriptive analysis of cervical cancer screening cases in a 3-stage framework

Background:

Cascade analysis is an effective method to analyze the processing data of an event, such as a provided service or a series of examinations. This study aimed to develop a primary cervical cancer screening cascade in China to promote the quality of the screening process.

Methods:

We designed a cervical cancer screening cascade in China according to the program flow chart. It had three stages, each with two steps and one result. Data from 117,522 women aged 35 to 64 years in the Rural Cervical Cancer Surveillance Project from January 1, 2014, to December 31, 2014, were collected to analyze the main results of the cascade. The data and proportion are used to describe the follow-up of cervical cancer and pre-cancer detection rate.

Results:

In 2014, 117,522 (80.94% of all cases reported by the Rural Cervical Cancer Surveillance Project) women aged 35 to 64 years had not received cervical cytology in the previous 3 years. The pre-cancer and cancer detection rates were 256.12/100,000 and 16.16/100,000, respectively. A total of 3031 cases failed to follow-up through the screening process, and 1189, 1555, and 287 cases were lost at cervical cytology, colposcopy, and histopathological screening stages, respectively. The estimated cases of pre-cancer and cancer cases would have been 544 and 34, respectively, and the estimated detection rates of pre-cancer and cancer would have been 462.89/100,000 and 28.93/100,000, respectively.

Conclusion:

In order to increase the detection rate of cervical cancer, cervical cancer screening staff should focus on increasing the rate of follow-up of those who are positive for cervical cancer screening (ie, those with positive cytology results), especially for the 40 to 44 years age range.

Cascade Analysis: An Adaptable Implementation Strategy Across HIV and Non-HIV Delivery Platforms

BACKGROUND

Cascades have been used to characterize sequential steps within a complex health system and are used in diverse disease areas and across prevention, testing, and treatment. Routine data have great potential to inform prioritization within a system, but are often inaccessible to frontline health care workers (HCWs) who may have the greatest opportunity to innovate health system improvement.

METHODS

The cascade analysis tool (CAT) is an Excel-based, simple simulation model with an optimization function. It identifies the step within a cascade that could most improve the system. The original CAT was developed for HIV treatment and the prevention of mother-to-child transmission of HIV.

RESULTS

CAT has been adapted 7 times: to a mobile application for prevention of mother-to-child transmission; for hypertension screening and management and for mental health outpatient services in Mozambique; for pediatric and adolescent HIV testing and treatment, HIV testing in family planning, and cervical cancer screening and treatment in Kenya; and for naloxone distribution and opioid overdose reversal in the United States. The main domains of adaptation have been technical-estimating denominators and structuring steps to be binary sequential steps-as well as logistical-identifying acceptable approaches for data abstraction and aggregation, and not overburdening HCW.

DISCUSSION

CAT allows for prompt feedback to HCWs, increases HCW autonomy, and allows managers to allocate resources and time in an equitable manner. CAT is an effective, feasible, and acceptable implementation strategy to prioritize areas most requiring improvement within complex health systems, although adaptations are being currently evaluated.

A tool for estimating antiretroviral medication coverage for HIV-infected women during pregnancy (PMTCT-ACT)

BACKGROUND

In the typical prevention of mother to child transmission (PMTCT) of HIV cascade of care discussion or analysis, the period of analysis begins at the first visit for antenatal care (ANC) for that pregnancy. This starting point is problematic for two reasons: (1) a large number of HIV-infected women are already on life-long antiretroviral therapy (ART) when presenting for ANC; and (2) women present to ANC at different gestational ages. The PMTCT ART Coverage Tool (PMTCT-ACT), which estimates the proportion of days covered (PDC) with ART, was developed to address each of these problems.

METHODS

PDC is a preferred method to measure adherence to chronic medications, such as ART. For evaluating the PMTCT cascade of care, as indicated by PDC with ART over various time periods, a "starting point" based on a specific day before delivery must be defined that applies to all women (treatment experienced or naïve at the first ANC visit at any gestational age). Using the example of 168 days prior to delivery (24 weeks), PMTCT-ACT measures PDC with ART during that period. PMTCT-ACT is provided as a STATA do-file. Using an example dataset for two women (ID1 is treatment experienced; ID2 is treatment naïve), the details of each major portion of the tool (Parts 1-5) are presented. PMTCT-ACT along with the intermediate datasets created during the analysis are provided as supplemental files.

CONCLUSIONS

Evaluating the PMTCT cascade of care requires a standard definition of the follow-up period during pregnancy that applies to all HIV-infected pregnant women and a standard measure of adherence. PMTCT-ACT is a new tool that fits this purpose. PMTCT-ACT can also be easily adjusted to evaluate other ante- and post-natal periods (e.g., final 4 weeks, final 8 weeks, complete pregnancy period, initial 24 weeks postpartum, time periods consistent with infant HIV testing guidelines).

Access to prevention of mother-to-child transmission of HIV along HIV services cascade through integrated active case management in 15 operational districts in Cambodia

INTRODUCTION

Following the introduction of option B+ in 2013, and with the perspective of eliminating mother-to-child transmission of HIV by 2025, Cambodia has implemented an integrated active case management (IACM) approach since 2014 to improve the notification and follow-up of all HIV-infected cases including pregnant women, and to ensure access to and use of the full prevention of mother-to-child transmission (PMTCT) service package by HIV-infected pregnant women and their HIV-exposed infants. This study aimed to analyse PMTCT cascade data in 15 operational districts (ODs) implementing the IACM approach in Cambodia.

METHODS

We analysed PMTCT cohort data from 15 ODs implementing IACM approach between 1 January 2014 and 31 December 2016. We measured key indicators along the PMTCT cascade and compared them to available (cross-sectional) PMTCT indicators during the 2011 to 2013 period.

RESULTS

During the period 2014 to 2016, among 938 identified HIV-infected pregnant women, 308 (32.8%) were tested HIV positive during their pregnancy, 9 (1.0%) during labour, while the remaining 621 (66.2%) were women on antiretroviral therapy (ART) who became pregnant. During the study period, 867 (92.4%) of the 938 women received ART during pregnancy and labour. Subsequently, 456 (85.6%) of the 533 HEI born and alive during the study period received 6-week antiretroviral (ARV) prophylaxis, 390 (76.6%) and 396 (77.8%) of the 509 infants aged six weeks or older received cotrimoxazole prophylaxis and HIV-DNA PCR test respectively. Among the 396 HEI who received HIV-DNA PCR test, 7 (1.8%) were found HIV positive. The comparison with cross-sectional PMTCT indicator obtained during the previous 2011 to 2013 period in the same 15 ODs, showed a significant increase in ARV uptake among HIV-infected pregnant women (from 72.3% to 92.4%), in cotrimoxazole uptake (from 41.6% to 73.2%), and in HIV-DNA PCR testing coverage among HEI (from 41.2% to 74.3%).

CONCLUSIONS

The implementation of option B+ and IACM may have contributed to the improvement of the PMTCT cascade in Cambodia. However, some gaps in accessing PMTCT services along the HIV cascade persist and need to be addressed.

Making Smarter Decisions Faster: Systems Engineering to Improve the Global Public Health Response to HIV

PURPOSE OF REVIEW

This review offers an operational definition of systems engineering (SE) as applied to public health, reviews applications of SE in the field of HIV, and identifies opportunities and challenges of broader application of SE in global health.

RECENT FINDINGS

SE involves the deliberate sequencing of three steps: diagnosing a problem, evaluating options using modeling or optimization, and providing actionable recommendations. SE includes diverse tools (from process improvement to mathematical modeling) applied to decisions at various levels (from local staffing decisions to planning national-level roll-out of new interventions). Contextual factors are crucial to effective decision-making, but there are gaps in understanding global decision-making processes. Integrating SE into pre-service training and translating SE tools to be more accessible could increase utilization of SE approaches in global health. SE is a promising, but under-recognized approach to improve public health response to HIV globally.

Scaling-up the Systems Analysis and Improvement Approach for prevention of mother-to-child HIV transmission in Mozambique (SAIA-SCALE): a stepped-wedge cluster randomized trial

BACKGROUND

The introduction of option B+-rapid initiation of lifelong antiretroviral therapy regardless of disease status for HIV-infected pregnant and breastfeeding women-can dramatically reduce HIV transmission during pregnancy, birth, and breastfeeding. Despite significant investments to scale-up Option B+, results have been mixed, with high rates of loss to follow-up, sub-optimal viral suppression, continued pediatric HIV transmission, and HIV-associated maternal morbidity. The Systems Analysis and Improvement Approach (SAIA) cluster randomized trial demonstrated that a package of systems engineering tools improved flow through the prevention of mother-to-child HIV transmission (PMTCT) cascade. This five-step, facility-level intervention is designed to improve understanding of gaps (cascade analysis), guide identification and prioritization of low-cost workflow modifications (process mapping), and iteratively test and redesign these modifications (continuous quality improvement). This protocol describes a novel model for SAIA delivery (SAIA-SCALE) led by district nurse supervisors (rather than research nurses), and evaluation procedures, to serve as a foundation for national scale-up.

METHODS

The SAIA-SCALE stepped wedge trial includes three implementation waves, each 12 months in duration. Districts are the unit of assignment, with four districts randomly assigned per wave, covering all 12 districts in Manica province, Mozambique. In each district, the three highest volume health facilities will receive the SAIA-SCALE intervention (totaling 36 intervention facilities). The RE-AIM framework will guide SAIA-SCALE's evaluation. Reach describes the proportion of clinics and population in Manica province reached, and sub-groups not reached. Effectiveness assesses impact on PMTCT process measures and patient-level outcomes. Adoption describes the proportion of districts/clinics adopting SAIA-SCALE, and determinants of adoption using the Organizational Readiness for Implementing Change (ORIC) tool. Implementation will identify SAIA-SCALE core elements and determinants of successful implementation using the Consolidated Framework for Implementation Research (CFIR). Maintenance describes the proportion of districts sustaining the intervention. We will also estimate the budget and program impact from the payer perspective for national scale-up.

DISCUSSION

SAIA packages user-friendly systems engineering tools to guide decision-making by frontline health workers, and to identify low-cost, contextually appropriate PMTCT improvement strategies. By integrating SAIA delivery into routine management structures, this pragmatic trial is designed to test a model for national intervention scale-up.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03425136 (registered 02/06/2018).

A novel application of process mapping in a criminal justice setting to examine implementation of peer support for veterans leaving incarceration

BACKGROUND

Between 12,000 and 16,000 veterans leave incarceration every year, yet resources are limited for reentry support that helps veterans remain connected to VA and community health care and services after leaving incarceration. Homelessness and criminal justice recidivism may result when such follow-up and support are lacking. In order to determine where gaps exist in current reentry support efforts, we developed a novel methodological adaptation of process mapping (a visualization technique being increasingly used in health care to identify gaps in services and linkages) in the context of a larger implementation study of a peer-support intervention to link veterans to health-related services after incarceration ( https://clinicaltrials.gov/ , NCT02964897, registered November 4, 2016) to support their reentry into the community.

METHODS

We employed process mapping to analyze qualitative interviews with staff from organizations providing reentry support. Interview data were used to generate process maps specifying the sequence of events and the multiple parties that connect veterans to post-incarceration services. Process maps were then analyzed for uncertainties, gaps, and bottlenecks.

RESULTS

We found that reentry programs lack systematic means of identifying soon-to-be released veterans who may become their clients; veterans in prisons/jails, and recently released, lack information about reentry supports and how to access them; and veterans' whereabouts between their release and their health care appointments are often unknown to reentry and health care teams. These system-level shortcomings informed our intervention development and implementation planning of peer-support services for veterans' reentry.

CONCLUSIONS

Systematic information sharing that is inherent to process mapping makes more transparent the research needed, helping to engage participants and operational partners who are critical for successful implementation of interventions to improve reentry support for veterans leaving incarceration. Even beyond our immediate study, process mapping based on qualitative interview data enables visualization of data that is useful for 1) verifying the research team's interpretation of interviewee's accounts, 2) specifying the events that occur within processes that the implementation is targeting (identifying knowledge gaps and inefficiencies), and 3) articulating and tracking the pre- to post-implementation changes clearly to support dissemination of evidence-based health care practices for justice-involved populations.

Implementation and Operational Research: Impact of a Systems Engineering Intervention on PMTCT Service Delivery in Côte d'Ivoire, Kenya, Mozambique: A Cluster Randomized Trial

BACKGROUND

Efficacious interventions to prevent mother-to-child HIV transmission (PMTCT) have not translated well into effective programs. Previous studies of systems engineering applications to PMTCT lacked comparison groups or randomization.

METHODS

Thirty-six health facilities in Côte d'Ivoire, Kenya, and Mozambique were randomized to usual care or a systems engineering intervention, stratified by country and volume. The intervention guided facility staff to iteratively identify and then rectify barriers to PMTCT implementation. Registry data quantified coverage of HIV testing during first antenatal care visit, antiretrovirals (ARVs) for HIV-positive pregnant women, and screening HIV-exposed infants (HEI) for HIV by 6-8 weeks. We compared the change between baseline (January 2013-January 2014) and postintervention (January 2015-March 2015) periods using t-tests. All analyses were intent-to-treat.

RESULTS

ARV coverage increased 3-fold [+13.3% points (95% CI: 0.5 to 26.0) in intervention vs. +4.1 (-12.6 to 20.7) in control facilities] and HEI screening increased 17-fold [+11.6 (-2.6 to 25.7) in intervention vs. +0.7 (-12.9 to 14.4) in control facilities]. In prespecified subgroup analyses, ARV coverage increased significantly in Kenya [+20.9 (-3.1 to 44.9) in intervention vs. -21.2 (-52.7 to 10.4) in controls; P = 0.02]. HEI screening increased significantly in Mozambique [+23.1 (10.3 to 35.8) in intervention vs. +3.7 (-13.1 to 20.6) in controls; P = 0.04]. HIV testing did not differ significantly between arms.

CONCLUSIONS

In this first randomized trial of systems engineering to improve PMTCT, we saw substantially larger improvements in ARV coverage and HEI screening in intervention facilities compared with controls, which were significant in prespecified subgroups. Systems engineering could strengthen PMTCT service delivery and protect infants from HIV.

Evaluation of a Systems Analysis and Improvement Approach to Optimize Prevention of Mother-To-Child Transmission of HIV Using the Consolidated Framework for Implementation Research

Supplemental Digital Content is Available in the Text.

Background:

Despite large investments to prevent mother-to-child-transmission (PMTCT), pediatric HIV elimination goals are not on track in many countries. The Systems Analysis and Improvement Approach (SAIA) study was a cluster randomized trial to test whether a package of systems engineering tools could strengthen PMTCT programs. We sought to (1) define core and adaptable components of the SAIA intervention, and (2) explain the heterogeneity in SAIA's success between facilities.

Methods:

The Consolidated Framework for Implementation Research (CFIR) guided all data collection efforts. CFIR constructs were assessed in focus group discussions and interviews with study and facility staff in 6 health facilities (1 high-performing and 1 low-performing site per country, identified by study staff) in December 2014 at the end of the intervention period. SAIA staff identified the intervention's core and adaptable components at an end-of-study meeting in August 2015. Two independent analysts used CFIR constructs to code transcripts before reaching consensus.

Results:

Flow mapping and continuous quality improvement were the core to the SAIA in all settings, whereas the PMTCT cascade analysis tool was the core in high HIV prevalence settings. Five CFIR constructs distinguished strongly between high and low performers: 2 in inner setting (networks and communication, available resources) and 3 in process (external change agents, executing, reflecting and evaluating).

Discussion:

The CFIR is a valuable tool to categorize elements of an intervention as core versus adaptable, and to understand heterogeneity in study implementation. Future intervention studies should apply evidence-based implementation science frameworks, like the CFIR, to provide salient data to expand implementation to other settings.

Using the PMTCT Cascade to Accelerate Achievement of the Global Plan Goals

BACKGROUND

Development of country plans for prevention of mother-to-child HIV transmission (PMTCT), including expansion of comprehensive, integrated services, was key to Global Plan achievements.

APPROACHES

Use of the PMTCT cascade, an evolving series of sequential steps needed to maximize the health of women and HIV-free survival of infants, was critical for development and implementation of PMTCT plans. Regular review of cascade data at national/subnational levels was a tool for evidence-based decision making, identifying areas of greatest need at each level, and targeting program interventions to address specific gaps. Resulting improvements in PMTCT service delivery contributed to success. Populating the cascade highlighted limitations in data availability and quality that focused attention on improving national health information systems.

LIMITATIONS

Use of aggregate, cross-sectional data in the PMTCT cascade presents challenges in settings with high mobility and weak systems to track women and children across services. Poor postnatal follow-up and losses at each step of the cascade have limited use of the cascade approach to measure maternal and child health outcomes beyond the early postnatal period.

LESSONS LEARNED

A cascade approach was an effective means for countries to measure progress, identify suboptimal performance areas, and be held accountable for progress toward achievement of Global Plan goals. Using the cascade requires investment of time and effort to identify the type, source, and quality of data needed as programs evolve. Ongoing review of cascade data, with interventions to address discontinuities in the continuum of care, can translate across health areas to improve health care quality and outcomes.

Patient engagement in HIV care and treatment in Zambia, 2004-2014

OBJECTIVE

To describe engagement along the HIV continuum of care using a large network of clinics in Zambia.

METHODS

We employed a practical framework to describe retention along the HIV treatment cascade, using routinely collected clinical data available in resource-constrained settings. We included health facilities in four Zambian provinces with more than 300 enrolled patients over the age of 5 years. We described attrition at each step, from HIV enrolment to 720 days after ART initiation. The population was further stratified by year of enrolment to describe temporal trends in patient engagement.

RESULTS

From January 2004 to December 2014, 444 439 individuals over the age of 5 years sought HIV care at 75 eligible health facilities. Among those enrolled into HIV care, 82.1% (95% confidence interval [CI]: 79.4-84.5%) were fully assessed for ART eligibility within 180 days of enrolment and 63.6% (95% CI: 61.7-65.3) were found to be eligible for ART based on the HIV treatment guidelines at the time. Of those patients eligible for ART, 81.1% (95% CI: 79.5-82.7%) initiated ART within 180 days. Patient retention in ART programme was 81.2% (95% CI: 80.4-81.9%) at 90 days, 70.0% (95% CI: 68.7-71.2%) at 360 days and 61.6% (95% CI: 60.0-63.2%) at 720 days. We noted a steady decline in proportions assessed for ART eligibility and deemed eligible for ART in the time frame. Proportions that started ART and remained in care remained relatively consistent.

CONCLUSION

We describe a simple approach for assessing patient engagement after enrolment into HIV care. Using limited types of data routinely available, we demonstrate an important and replicable approach to monitoring programmes in resource-constrained settings.

The impact of leadership hubs on the uptake of evidence-informed nursing practices and workplace policies for HIV care: a quasi-experimental study in Jamaica, Kenya, Uganda and South Africa

BACKGROUND

The enormous impact of HIV on communities and health services in Sub-Saharan Africa and the Caribbean has especially affected nurses, who comprise the largest proportion of the health workforce in low- and middle-income countries (LMICs). Strengthening action-based leadership for and by nurses is a means to improve the uptake of evidence-informed practices for HIV care.

METHODS

A prospective quasi-experimental study in Jamaica, Kenya, Uganda and South Africa examined the impact of establishing multi-stakeholder leadership hubs on evidence-informed HIV care practices. Hub members were engaged through a participatory action research (PAR) approach. Three intervention districts were purposefully selected in each country, and three control districts were chosen in Jamaica, Kenya and Uganda. WHO level 3, 4 and 5 health care institutions and their employed nurses were randomly sampled. Self-administered, validated instruments measured clinical practices (reports of self and peers), quality assurance, work place policies and stigma at baseline and follow-up. Standardised average scores ranging from 0 to 1 were computed for clinical practices, quality assurance and work place policies. Stigma scores were summarised as 0 (no reports) versus 1 (one or more reports). Pre-post differences in outcomes between intervention and control groups were compared using the Mantel Haenszel chi-square for dichotomised stigma scores, and independent t tests for other measures. For South Africa, which had no control group, pre-post differences were compared using a Pearson chi-square and independent t test. Multivariate analysis was completed for Jamaica and Kenya. Hub members in all countries self-assessed changes in their capacity at follow-up; these were examined using a paired t test.

RESULTS

Response rates among health care institutions were 90.2 and 80.4 % at baseline and follow-up, respectively. Results were mixed. There were small but statistically significant pre-post, intervention versus control district improvements in workplace policies and quality assurance in Jamaica, but these were primarily due to a decline in scores in the control group. There were modest improvements in clinical practices, workplace policies and quality assurance in South Africa (pre-post) (clinical practices of self-pre 0.67 (95 % CI, 0.62, 0.72) versus post 0.78 (95 % CI, 0.73-0.82), p = 0.002; workplace policies-pre 0.82 (95 % CI, 0.70, 0.85) versus post 0.87 (95 % CI, 0.84, 0.90), p = 0.001; quality assurance-pre 0.72 (95 % CI, 0.67, 0.77) versus post 0.84 (95 % CI, 0.80, 0.88)). There were statistically significant improvements in scores for nurses stigmatising patients (Jamaica reports of not stigmatising-pre-post intervention 33.9 versus 62.4 %, pre-post control 54.7 versus 64.4 %, p = 0.002-and Kenya pre-post intervention 35 versus 51.6 %, pre-post control 34.2 versus 47.8 %, p = 0.006) and for nurses being stigmatised (Kenya reports of no stigmatisation-pre-post intervention 23 versus 37.3 %, pre-post control 15.4 versus 27 %, p = 0.004). Multivariate results for Kenya and Jamaica were non-significant. Twelve hubs were established; 11 were active at follow-up. Hub members (n = 34) reported significant improvements in their capacity to address care gaps.

CONCLUSIONS

Leadership hubs, comprising nurses and other stakeholders committed to change and provided with capacity building can collectively identify issues and act on strategies that may improve practice and policy. Overall, hubs did not provide the necessary force to improve the uptake of evidence-informed HIV care in their districts. If hubs are to succeed, they must be integrated within district health authorities and become part of formal, legal organisations that can regularise and sustain them.

Implementation Research for the Prevention of Mother-to-Child HIV Transmission in Sub-Saharan Africa: Existing Evidence, Current Gaps, and New Opportunities

Tremendous gains have been made in the prevention of mother-to-child HIV transmission (PMTCT) in sub-Saharan Africa. Ambitious goals for the "virtual elimination" of pediatric HIV appear increasingly feasible, driven by new scientific advances, forward-thinking health policy, and substantial donor investment. To fulfill this promise, however, rapid and effective implementation of evidence-based practices must be brought to scale across a diversity of settings. The discipline of implementation research can facilitate this translation from policy into practice; however, to date, its core principles and frameworks have been inconsistently applied in the field. We reviewed the recent developments in implementation research across each of the four "prongs" of a comprehensive PMTCT approach. While significant progress continues to be made, a greater emphasis on context, fidelity, and scalability-in the design and dissemination of study results-would greatly enhance current efforts and provide the necessary foundation for future evidence-based programs.