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Record W3008650138 · doi:10.1186/s12913-020-4912-5

Application of the Consolidated Framework for Implementation Research to examine nurses’ perception of the task shifting strategy for hypertension control trial in Ghana

2020· article· en· W3008650138 on OpenAlexfundno aff
Joyce Gyamfi, John P. Allegrante, Juliet Iwelunmor, Olajide Williams, Jacob Plange‐Rhule, Sarah R. Blackstone, Michael Ntim, Kingsley Apusiga, Emmanuel Peprah, Gbenga Ogedegbe

Bibliographic record

VenueBMC Health Services Research · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNational Institutes of HealthKwame Nkrumah University of Science and TechnologySchool of Medicine, New York UniversityYork University
KeywordsHealth administrationNursing researchImplementation researchMedicineHealth informaticsFocus groupNursingQualitative researchRandomized controlled trialMedical educationPublic healthPsychological interventionBusinessSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The burden of hypertension in many low-and middle-income countries is alarming and requires effective evidence-based preventative strategies that is carefully appraised and accepted by key stakeholders to ensure successful implementation and sustainability. We assessed nurses' perceptions of a recently completed Task Shifting Strategy for Hypertension control (TASSH) trial in Ghana, and facilitators and challenges to TASSH implementation. METHODS: Focus group sessions and in-depth interviews were conducted with 27 community health nurses from participating health centers and district hospitals involved in the TASSH trial implemented in the Ashanti Region, Ghana, West Africa from 2012 to 2017. TASSH evaluated the comparative effectiveness of the WHO-PEN program versus provision of health insurance for blood pressure reduction in hypertensive adults. Qualitative data were analyzed using open and axial coding techniques with emerging themes mapped onto the Consolidated Framework for Implementation Research (CFIR). RESULTS: Three themes emerged following deductive analysis using CFIR, including: (1) Patient health goal setting- relative priority and positive feedback from nurses, which motivated patients to make healthy behavior changes as a result of their health being a priority; (2) Leadership engagement (i.e., medical directors) which influenced the extent to which nurses were able to successfully implement TASSH in their various facilities, with most directors being very supportive; and (3) Availability of resources making it possible to implement the TASSH protocol, with limited space and personnel time to carry out TASSH duties, limited blood pressure (BP) monitoring equipment, and transportation, listed as barriers to effective implementation. CONCLUSION: Assessing stakeholders' perception of the TASSH implementation process guided by CFIR is crucial as it provides a platform for the nurses to thoroughly evaluate the task shifting program, while considering the local context in which the program is implemented. The feedback from the nurses informed barriers and facilitators to implementation of TASSH within the current healthcare system, and suggested system level changes needed prior to scale-up of TASSH to other regions in Ghana with potential for long-term sustainment of the task shifting intervention. TRIAL REGISTRATION: Trial registration for parent TASSH study: NCT01802372. Registered February 27, 2013.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.623
GPT teacher head0.698
Teacher spread0.075 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2020
Admission routes1
Has abstractyes

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