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Implementation outcomes and strategies for delivering evidence-based hypertension interventions in lower-middle-income countries: Evidence from a multi-country consortium for hypertension control

  • Joyce Gyamfi ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    gyamfj01@nyu.edu

    Affiliation School of Global Public Health, New York University, New York, New York, United States of America

  • Juliet Iwelunmor,

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Saint Louis University, Saint Louis, Missouri, United States of America

  • Shivani Patel,

    Roles Data curation, Formal analysis, Investigation, Validation, Visualization, Writing – review & editing

    Affiliation Department of Global Health, Emory University, Atlanta, Georgia, United States of America

  • Vilma Irazola,

    Roles Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – review & editing

    Affiliation Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina

  • Angela Aifah,

    Roles Formal analysis, Investigation, Project administration, Writing – review & editing

    Affiliation Section for Global Health, Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, New York, United States of America

  • Ashlin Rakhra,

    Roles Data curation, Investigation, Project administration, Writing – review & editing

    Affiliation Section for Global Health, Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, New York, United States of America

  • Mark Butler,

    Roles Data curation, Methodology, Project administration, Writing – review & editing

    Affiliation Center for Personalized Health, Feinstein Institutes for Medical Research, Northwell Health, New York, New York, United States of America

  • Rajesh Vedanthan,

    Roles Data curation, Writing – review & editing

    Affiliation Section for Global Health, Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, New York, United States of America

  • Giang Nguyen Hoang,

    Roles Data curation, Writing – review & editing

    Affiliation Health Strategy and Policy Institute, Vietnam Ministry of Health, Hanoi, Vietnam

  • Monicah Nyambura ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation USAID AMPATH Kenya, Eldoret, Kenya

  • Hoa Nguyen ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worchester, Massachusetts, United States of America

  • Cuc Nguyen ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Health Strategy and Policy Institute, Vietnam Ministry of Health, Hanoi, Vietnam

  • Kwaku Poku Asante ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Funding acquisition, Investigation, Writing – review & editing

    Affiliation Kintampo Health Research Centre, Kintampo, Ghana

  • Solomon Nyame ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Kintampo Health Research Centre, Kintampo, Ghana

  • Kwame Adjei ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Kintampo Health Research Centre, Kintampo, Ghana

  • John Amoah ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Kintampo Health Research Centre, Kintampo, Ghana

  • Kingsley Apusiga ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Department of Physiology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana

  • Kezia Gladys Amaning Adjei ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Department of Physiology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana

  • Manuel Ramierz-Zea ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala, United States of America

  • Diego Hernandez ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala, United States of America

  • Meredith Fort ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Department of Health Systems, Management & Policy, Colorado School of Public Health, Aurora, Colorado, United States of America

  • Hanspria Sharma ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation All India Institute of Medical Sciences, New Delhi, India

  • Prashant Jarhyan ,

    Contributed equally to this work with: Monicah Nyambura, Hoa Nguyen, Cuc Nguyen, Kwaku Poku Asante, Solomon Nyame, Kwame Adjei, John Amoah, Kingsley Apusiga, Kezia Gladys Amaning Adjei, Manuel Ramierz-Zea, Diego Hernandez, Meredith Fort, Hanspria Sharma, Prashant Jarhyan

    Roles Data curation, Writing – review & editing

    Affiliation Centre for Chronic Disease Control, New Delhi, India

  • Emmanuel Peprah,

    Roles Methodology, Validation, Writing – review & editing

    Affiliation School of Global Public Health, New York University, New York, New York, United States of America

  •  [ ... ],
  • Gbenga Ogedegbe

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing

    Affiliation Section for Global Health, Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, New York, United States of America

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Abstract

Guidance on contextually tailored implementation strategies for the prevention, treatment, and control of hypertension is limited in lower-middle income countries (Lower-MIC). To address this limitation, we compiled implementation strategies and accompanying outcomes of evidence-based hypertension interventions currently being implemented in five Lower-MIC. The Global Research on Implementation and Translation Science (GRIT) Coordinating Center (CC) (GRIT-CC) engaged its global network sites at Ghana, Guatemala, India, Kenya, and Vietnam. Purposively sampled implementation science experts completed an electronic survey assessing implementation outcomes, in addition to implementation strategies used in their ongoing hypertension interventions from among 73 strategies within the Expert Recommendations for Implementing Change (ERIC). Experts rated the strategies based on highest priority to their interventions. We analyzed the data by sorting implementation strategies utilized by sites into one of the nine domains in ERIC and summarized the data using frequencies, proportions, and means. Seventeen implementation experts (52.9% men) participated in the exercise. Of Proctor’s implementation outcomes identified across sites, all outcomes except for appropriateness were broadly assessed by three or more countries. Overall, 59 out of 73 (81%) strategies were being utilized in the five countries. The highest priority implementation strategies utilized across all five countries focused on evaluative and iterative strategies (e.g., identification of context specific barriers and facilitators) to delivery of patient- and community-level interventions, while the lowest priority was use of financial and infrastructure change strategies. More capacity building strategies (developing stakeholder interrelationships, training and educating stakeholders, and supporting clinicians) were incorporated into interventions implemented in India and Vietnam than Ghana, Kenya, and Guatemala. Although robust implementation strategies are being used in Lower -MICs, there is minimum use of financial and infrastructure change strategies. Our study contributes to the growing literature that demonstrates the use of Expert Recommendations for Implementing Change (ERIC) implementation strategies to deliver evidence-based hypertension interventions in Lower-MICs and will inform future cross-country data harmonization activities in resource-constrained settings.

Introduction

Gaps still exist between implementing evidence-based hypertension interventions and improving effectiveness outcomes for patients in lower-middle income countries (Lower-MIC) [1]. Increasingly, scholars argue that the use of implementation strategies that are essential to overcome barriers and enhance the adoption, implementation and sustainment of evidence-based hypertension interventions in real-world settings is suboptimal [24]. The aforementioned issue is particularly salient in Lower-MIC context [3] where hypertension, remains a major public health issue, contributing to more than 80% of premature deaths [5]. The rationale for focusing on implementation strategies includes clarifying which methods or techniques were used to enhance the adoption, implementation, and sustainability of evidence-based hypertension interventions in Lower-MIC [6], and their potential scale-up to address the huge burden of hypertension in low-and-middle income countries [7].

For effective implementation of evidence-based interventions for hypertension control, purposively selected, context-sensitive implementation strategies are necessary. Further, reporting of implementation strategies should be consistently standardized across programs to facilitate replication and the ease of evaluating what works, for whom, and in what context [811]. The Expert Recommendations for Implementing Change (ERIC) has identified 73 discrete implementation strategies grouped into nine domains to better define and classify implementation strategies [12, 13]. ERIC has been applied across programs in the United States [14], but evidence of application of these strategies in Lower-MIC is limited. Thus, to address this gap, the objective of this study was to leverage the National Heart Lung and Blood Institute (NHLBI) funded consortium’s five Hypertension Outcomes for T4 Research (Hy-TREC) programs research teams to compile implementation strategies, and outcomes, across community and clinic-based intervention programs being conducted in Ghana [15], Guatemala [16], India [17], Kenya [18], and Vietnam [19]. This process was guided by Expert Recommendations for Implementing Change (ERIC) [12, 13] checklist, and specified the various components of the implementation strategies suggested by Proctor et al. [20]. We further delineated the implementation outcomes using Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework [21] and assessed the Proctor’s implementation outcomes [22] being measured by each program. By detailing common implementation strategies among the Hy-TREC programs, we will advance the field of late-stage implementation science research and provide guidance for researchers, practitioners, and policymakers when scaling up evidence-based interventions for hypertension control in the community and routine clinical practice across resource-constrained settings worldwide.

Methods

Conceptual framework

The study design, methods, and analysis integrate the Expert Recommendations for Implementing Change (ERIC) checklist of suggested implementation strategies, Proctor’s implementation outcomes [23] and the RE-AIM framework [21, 2426]. Our data collection tool was guided by the forementioned frameworks (see S1 File). ERIC was created to address gaps in the transfer of implementation science knowledge from research to practice by improving comprehensiveness, conceptual clarity, and relevance of implementation strategies [12, 13]. ERIC is a compilation of discrete strategies systematically gathered from the input of a diverse range of stakeholders (Powell et al., 2015) [12]. This compilation is to serve as “building blocks” for constructing implementation strategies, assessing existing strategies, and improving specification and reporting in implementation research [12, 13]. Proctor’s implementation outcomes distinguish implementation outcomes from clinical treatment outcomes and service system outcomes [22, 23]. These outcomes–acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability- serve as proximal indicators for the implementation process, key intermediate outcomes in treatment effectiveness and quality of care, and indicators for implementation success [22, 23]. The RE-AIM framework assess five dimensions–reach, efficacy, adoption, implementation, and maintenance—to evaluate the impact of an intervention [21]. The framework is applicable at multiple levels (individual, clinic, organization, community), and can be used to fulfill diverse evaluative purposes (e.g., overall public health impact, comparing interventions across dimensions, etc.) [21]. We compiled data from each of the five Hy-TREC consortium member sites, with data collection occurring between October and November 2020.

Study context

Hy-TREC is comprised of five single-country studies (4 trials and one quasi-experimental study) designed to evaluate implementation strategies and implementation outcomes for evidence-based interventions targeted at the prevention, treatment and control of hypertension in their respective settings. The intervention programs are being implemented over five years in Kenya, Ghana, Guatemala, India and Vietnam. Details of the Hy-TREC programs from the various countries are published elsewhere [1519]. The Global Research on Implementation and Translation Science (GRIT) Coordinating Center (CC) [2729] (GRIT-CC) was established to coordinate activities and synthesize knowledge across the separately funded sites. This study was conducted as a preparatory activity towards data harmonization and facilitate cross-country analyses.

Overview of the Hy-TREC programs

Table 1 provides a brief overview of each Hy-TREC site’s program and the implementation frameworks used by the various implementing countries (Ghana, Guatemala, India, Kenya, Vietnam). All programs except India employed a cluster-randomized design involving patients and community members. India’s integrated tracking, referral, electronic decision support, and care coordination (I-TREC) program used a quasi-experimental design within a single intervention block and a single comparison block. The interventions employed were multi-component and included multi-level stakeholders, with mixed methods evaluation designs. The interventions comprise:

  • Practice facilitation for the adoption of Task-Strengthening Strategy for Hypertension (TASSH) to improve systolic blood pressure reduction among adults with uncontrolled hypertension (Ghana); [15]
  • Team-based collaborative care, health provider education, health coaching sessions, home-based blood monitoring, and blood pressure audit and feedback(Guatemala); [16]
  • An electronic case record form (eCRF) to consolidate and track patient information and referrals across the publicly-funded healthcare system; an electronic clinical decision support system (CDSS) to assist clinicians to provide tailored guideline-based care to patients; a revised workflow to ensure coordinated care within and across facilities; and enhanced non-communicable disease training for physicians and nurses (India); [17]
  • Health information technology (HIT) and peer support intervention to improve referral completion, blood pressure reduction, and cardiovascular disease (CVD) risk reduction (Kenya); [18]
  • Expanded community health worker services; home blood pressure (BP) self-monitoring; and a “storytelling intervention,” which consists of interactive, literacy-appropriate, and culturally sensitive multimedia storytelling modules for motivating behavior change (Vietnam) [19].

The primary outcomes for the country programs included implementation outcomes (e.g., adoption, fidelity) and effectiveness outcomes (i.e., change in systolic and diastolic blood pressure).

Data collection

This study is a review of Hy-TREC site specific study protocols and synthesis of data. Expert study team members with experience in noncommunicable disease and implementation science provided verbal consent prior to data collection. Each Hy-TREC site received an electronic data form (See S1 File) template for the compilation of implementation outcomes, and implementation strategies to complete for their program in October 2020 (see measures section for additional details). Explicit instructions and definitions accompanied the form templates to ensure the standardization of reporting. Sites were encouraged to reach out to the GRIT-CC facilitator if they needed clarification for populating the forms with the requested information to be extracted from their proposed study protocol. The form was completed by at least 2–7 implementation experts from each site (17 total) and was received from all sites in November 2020. We used purposive sampling [35] to recruit implementation experts from each of the five country sites. The GRIT-CC consortium facilitator followed up with sites for clarification if there were any discrepancies between what sites reported in the study protocol and the completed form.

Measures

Implementation outcomes and other implementation measures consists of constructs that are measures of intervention implementation identified by prior research and theory. Examples of implementation outcomes include adoption and feasibility (Tables 2 and 3). These outcomes are derived from multiple frameworks (e.g., RE-AIM, Proctor’s implementation outcomes, etc.) and are indicators of implementation processes and success. We identified the implementation outcomes that are being measured in each of the consortium projects. Also, to understand the implementation context, we collected data on other implementation measures including contextual factors, such as provider attitudes, professional behavior, and the service system and its impact on intervention implementation, implementation climate, leadership support, and organizational capacity.

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Table 3. Implementation outcomes and other measures (information sources used).

https://doi.org/10.1371/journal.pone.0286204.t003

Implementation Strategies are specific actions being performed as part of the implementation process. We used the ERIC checklist of 73 different implementation strategies identified by implementation science experts [36]. We identified concrete strategies being implemented by study teams at their respective sites. Further, each country team provided detailed specifications for the implementation strategies that they are using. Proctor and colleagues [20], recommends providing specific details of how particular implementation strategies are operationalized. This includes defining important aspects of an implementation strategy (e.g., the actor who delivers the strategy, the action being targeted by the strategy and the dose of the strategy). By expanding upon the details of the implementation strategies which are most essential to the intervention, we can learn more about how the intervention is delivered and implementation fidelity.

Data analysis

Data from all sites were merged into a Microsoft Excel spreadsheet and analysis was conducted using SPSS statistical software 26. We summarized the implementation outcomes and implementation strategies used across the studies. Details of the implementation strategies used by country sites were analyzed to evaluate common strategies used across country sites. The implementation strategies employed by sites were grouped under the following ERIC implementation strategies domains: 1) Evaluative and iterative strategies, 2) Provide interactive assistance, 3) Adapt and tailor to context, 4) Develop stakeholder interrelationships strategies, 5) Train and educate stakeholder strategies, 6) Strategies to support clinicians, 7) Strategies to engage consumers, 8) Financial strategies, and 9) Change of infrastructure strategies [36].

We summarized the implementation strategies using frequencies, proportions and means. We calculated the frequencies of programs using each of the ERIC strategies. From the count of country usage of strategies within each category, we obtained the average proportions of countries using specific implementation strategies within each category across the 5 programs (i.e., numerator = sum of countries using each strategy, denominator = 5 total countries). To provide a comparable summary score across programs, the percentage and number of programs utilizing each strategy as part of their intervention are reported. We also computed the overall average of strategies used per category by dividing the total sum within a category by the specified strategies for that category. The total overall averages were then summed across all categories. The overall averages per category was then divided by the category mean to obtain the proportion of strategies being used by sites from specific categories (Fig 1). Based on the reported data, summary tables and pie charts were constructed to display the distribution of the proportion of implementation strategies being used across the five programs. The data summaries were relayed back to expert respondents for feedback and confirmation. The GRIT-CC facilitator presented the summary findings to the group, explained the data synthesize process and answered questions from country teams regarding their specific country data. We then followed up with a detailed email to each team to revisit their study implementation details and make any updates to their study information as needed, and or confirm that we can move forward with the summary data.

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Fig 1. Implementation strategies used by Hy-TREC programs.

https://doi.org/10.1371/journal.pone.0286204.g001

Results

Characteristics of respondents

We synthesized implementation strategies, and implementation outcomes used across the five Hy-TREC programs (see Table 1). A total of 17 implementation experts participated, including 52.9% male, with over 50% of respondents between the ages of 35–44 years. Experts had on average 5.1 years of experience conducting implementation science research (SD: 2.6; range 2–10 years). Fifty-nine percent were doctoral level trained professionals and 35% were master’s level trained, with 6% being bachelor level trained. The roles held by the various experts on the project included investigators (42%), project managers (16%), and project coordinators (42%).

Implementation outcomes, and other implementation measures

Implementation outcomes used by the Hy-TREC programs are described in Table 1 (studies are still ongoing). RE-AIM dimensions including reach, efficacy/effectiveness, adoption, implementation, are widely being assessed, with all countries reporting on these implementation measures (Tables 2 and 3). Four out of five countries will report on maintenance / sustainability. Table 3 provides the general implementation measure definitions and information sources used to capture RE-AIM dimensions and Proctor’s implementation outcomes across sites. Reach is measured by individual level of participation; Adoption is defined by sites as intention to use and or adherence to the intervention program; Acceptability (provider and patient attitudes) is measured as perceived acceptability by hypertensive patients, wider community, peer navigators, clinicians, and satisfaction with intervention and implementation process. Maintenance / sustainability is measured 12–24 months after conclusion of initial intervention.

Of the additional Proctor’s implementation outcomes identified across sites, all outcomes except for appropriateness are broadly being assessed by three or more countries, only two countries assessed appropriateness. All teams measured the adoption and fidelity of their programs to assess the uptake of the intervention and whether the study was implemented as intended. Appropriateness is being assessed by Kenya (for their integrated peer and technology referral support intervention) and Vietnam (for their community and clinic-based program involving community health workers and culturally tailored story telling interventions for blood pressure control, where participants were matched with local “stars” living in the same community with similar characteristics to help them through the behavior change process). Costs / cost-effectiveness is being assessed for the interventions implemented in Guatemala [16], India [17], Kenya [18], and Vietnam [19]. Specifically, Guatemala is evaluating the cost-effectiveness of the multilevel and multicomponent intervention program, compared to usual care [16]. Intervention costs include fixed costs such as education of health providers and salary of auxiliary nurses, and variable costs such as electronic BP monitors. Healthcare costs include ambulatory costs, such as drugs and laboratory tests, and hospital care (hospitalization). India is collecting data on patient expenditures related to outpatient and inpatient health care utilization in the last 3 months prior to survey completion to understand the cost incurred by patients to manage their hypertension [17].

The Kenyan team is evaluating the incremental cost-effectiveness of the combined HIT and peer support intervention, in terms of costs per unit decrease in SBP, per percent change in CVD risk score, and per disability-adjusted life year (DALY) saved [18]. In Vietnam, costs evaluations include the following: (1) program costs, which consist of costs to develop the intervention and implementation costs incurred at the district and community levels, and (2) patient costs for medications, diagnostic procedures, time lost, health center visits, and consultation fees [19].

The Hy-TREC studies used mixed-method approaches (qualitative and quantitative) for data collection. Reported data sources for evaluating the implementation outcomes include screening and enrollment data, questionnaires, semi-structured interviews, and focus groups. Implementation context, implementation climate, leadership support, and other organizational capacity was assessed via process evaluation and or the use of established implementation scales [3739].

Implementation strategies and components

Overall, 59 (81%) of the Expert Recommendations for Implementing Change (ERIC) suggested 73 strategies [36] were incorporated into the study protocols, with specific strategies being used by multiple country programs. In general, the use of evaluative and iterative strategies (e.g., needs assessment, identifying barriers and facilitators to implementation); providing interactive assistance, adaptation and tailoring the intervention to context, developing stakeholder interrelationships, and providing training and education to stakeholders, were the most prevalent strategies used among three or more country sites (average overall usage >50%) (Table 4). Country sites engaged both patients, implementers, and other key stakeholders (e.g., health policymakers) in the implementation process. Programs conducted in Asia (India and Vietnam) applied the most strategies with an average of 46 strategies used, while programs implemented in Africa (Ghana, Kenya) and Central America (Guatemala), used only about a third of the recommended implementation strategies, with an average of 21 and 24 strategies respectively used across sites. Strategies tailored at developing, training and educating stakeholders and supporting clinicians were less utilized in these settings. Fig 1 provides the overall proportion of strategies used by sites from the various domains. The sum of the country means from each of the nine ERIC categories was 20.2. On average, sites used only 0.1 (0.54%) of the nine strategies from the Use of financial incentives category; and a mean of 1 (4.94%) of strategies was used from the change of infrastructure category, which has 8 total strategies. We provide details of the implementation strategies, how the strategies were defined, how it was operationalized, and the affected implementation outcomes for each country’s program using the main implementation strategy as an example, in S1 Table. By expanding upon the details of the implementation strategies which are most essential to the intervention as done in S1 Table, we can learn more about how the intervention was delivered.

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Table 4. Proportion of programs reporting implementation strategies and components.

https://doi.org/10.1371/journal.pone.0286204.t004

Discussion

Assessment of implementation strategies is essential for identifying implementation barriers that should be addressed to improve the adoption, implementation and sustainability of an intervention [20].We highlight implementation strategies and outcomes used by hypertension programs occurring in five Lower-MIC participating in the NHLBI Hy-TREC network. The core implementation strategies being employed across the Hy-TREC programs are use of evaluative and iterative strategies (i.e., needs assessment), providing interactive assistance, adaptation and tailoring the intervention to context, develop stakeholder interrelationships, and providing training and education to stakeholders. From the 73 ERIC’s suggested implementation strategies, the five hypertension research teams utilized 59 strategies, with use of financial incentives and change of infrastructure strategies being the least utilized. Because of the populations being engaged in these settings, it may have been difficult to include financial strategies in the intervention protocols as investigators may have been limited by funder /sponsor/ implementation setting restrictions. To enrich implementation effectiveness and improve clinical outcomes, it is recommended that adaptations are made to implementation strategies (i.e., training, financial and system change strategies) during implementation efforts in diverse settings [36, 40, 41]. Our findings conform to conclusions from existing literature assessing the use of implementation strategies in LMICs [42, 43]. The researchers note that multi-pronged implementation strategies are required to align interventions to health care systems care delivery models including a keen understanding of the local setting and context, whilst leveraging and adapting existing policies and payment systems [42, 43]. Also, providing professional training (knowledge translation), and empowerment of health care workers with necessary resources to carry out their duties [42, 43] is essential for improving implementation fidelity and successful intervention delivery. Essentially, effective implementation requires alignment of several factors, at the individual, community, provider, and health system level and interventions should be embedded within existing systems to have maximum reach [21]. Further, it is important to assess implementation outcomes including cost / cost effectiveness (financial impact of an implementation effort) to maximize resources especially in resource-constrained settings typical of Lower-MIC. Cost assessment should include costs of treatment delivery, cost of the implementation strategy, and cost of using the service in the particular setting [20]. Findings from existing systematic and narrative reviews emphasize the paucity of cost data measurement for interventions implemented in Lower-MIC [44, 45]. Of the five studies, three country sites are conducting a cost / cost effectiveness evaluation as part of their protocol.

Also, penetration (extent to which an innovation or practice is integrated within a service setting and its subsystems) [22] is necessary to ensure maximum reach of the intervention to needed populations, and is not directly being measured by sites as an outcome. Although we acknowledge that penetration and maintenance (sustainability) are related conceptually and empirically, and the majority of the program sites are measuring sustainability- which can provide insight into the degree of penetration. Also, all sites measured reach which informs the penetration and impact of an intervention or program [23]. Assessment of the penetration of an intervention should be included in future protocols to standardize the reporting of implementation outcomes. Without sufficient attention being paid to penetration, appropriateness (assessed by two countries), and implementation cost or financial impact of the implementation effort, we risk implementation success as these implementation outcomes capture contextual factors likely to influence the implementation process [22]. Also, an implementation success of an evidence-based intervention may be impacted by the extent of buy-in from organizational and political leadership. Health systems strengthening strategies for infrastructure change should be embedded in future interventions for hypertension control in Lower-MIC, although we recognize that there are practical drawbacks (i.e., difficulty incorporating infrastructure change strategies and feasibility issues) for Lower-MIC context. In certain context, existing political dynamics and hierarchical structure of the health care system create infrastructure change challenges. For example, in Ghana, community health nurses cannot prescribe antihypertensive medication; thus, an intervention that trains nurses to prescribe antihypertensives may be difficult to embed into the existing system. However, we have found that engaging key stakeholders (i.e., site leadership, health policymakers) from the onset and throughout the implementation process may encourage conversations around health policy changes and improve sustainable uptake of the intervention [4648]. Nonetheless, the benefits / advantages of using context -sensitive implementation strategies include acceptability, adoption, and potential for long-term sustainability [6] and scale-up [49] of hypertension control interventions, especially those tailored to the implementation context. Some challenges of using the core implementation strategies include low physician-to-patient ratios and limited / lack of access to medications [1], complexity of the intervention, ability to embed the intervention into the existing clinical / organizational workflow, difficulty obtaining validated blood pressure devices, and improving provider / implementing staff/ patient knowledge about hypertension treatment and control [1, 50].

Strengths and Limitations: This study has a number of strengths including the use of data from multiple countries across three continents, making the findings generalizable across multiple geographical areas and across multiple health care settings such as those included in this study. Nonetheless it is critical to adapt and tailor any implementation strategy to fit the setting and population context to ensure implementation success [36]. Second, to the best of our knowledge, this is the first study to conduct a cross-country analysis of implementation strategies across multiple interventions for hypertension control in Lower-MIC using several implementation frameworks and assessing multiple implementation strategies and outcomes. As such, this comparison is unique and provides lessons learned in resource constrained environments with a significant burden of hypertension. We encourage other implementation scientist to conduct similar cross-country comparisons of interventions implemented in Lower-MIC and document lessons learned that can inform wider scale up of hypertension programs in that context. Third, the implementation strategy synthesis was guided by well-known ERIC strategies, with standard forms administered across sites. Our study will provide a significant amount of data for the community, and it will generate discussion on key implementation strategies that should be measured within Lower-MIC for hypertension control. We acknowledge the following limitations. First, early standardization of data collection for the main trials could improve future data harmonization across the various sites. Although we set out to conduct a data harmonization exercise, this was not feasible as site protocols were not standardized from the onset prior to initial implementation as a result of varying project start dates. Second, study design differences and varying context (e.g., health care systems) may impact the feasibility of using certain implementation strategies in a particular setting. For example, in some countries a task shifting / sharing approach is feasible; however, considering Ghana and India does not allow nurses to prescribe antihypertensive medication, a task shifting strategy where these professionals are trained to follow such protocol will be counterproductive and not well integrated into the existing system. Thus, context tailored interventions using context appropriate strategies will yield greater impact.

Conclusion

Evidence from this study suggest that broad implementation strategies are incorporated into hypertension intervention protocols implemented in Lower-MIC. Although robust implementation strategies are being used in Lower-MIC, there is minimum use of financial and infrastructure change strategies. Our study contributes to the growing literature that demonstrates the use of implementation strategies to deliver evidence-based hypertension interventions in Lower-MIC and will inform future cross-country data harmonization activities in resource-constrained settings to improve comparability of study findings from diverse global settings.

Supporting information

S1 Table. Specifying implementation strategy (Example for main implementation components at each site).

https://doi.org/10.1371/journal.pone.0286204.s001

(PDF)

Acknowledgments

We are appreciative of all stakeholders at the various country sites in Ghana, Guatemala, India, Kenya and Vietnam for their engagement in this important work. The authors would also like to thank Deborah Adenikinju, MPH (NYU Implementing Sustainable Evidence-based intervention through Engagement—ISEE Lab Senior Global Public Health Fellow) for her contributions to the manuscript revision.

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