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Predicting nurses’ safety compliance behaviour in a developing economy, using the theory of planned behaviour: A configurational approach

Abstract

Aim

The study's main objective was to use a fuzzy set qualitative comparative analysis to identify the configuration of recipes that predict nurses' safety compliance behaviour.

Design

A cross-sectional design.

Methods

A survey was used where questionnaires were collected from 285 nurses across four primary healthcare hospitals within the Ashanti Region, Ghana. The data collection happened between June 1 to August 2, 2022. A fuzzy set qualitative comparative analysis was used to identify the recipes of psychological factors that determine nurses' safety compliance behaviour.

Results

Results from the study suggest that the necessary configurations that explained nurses' safety compliance behaviour came from the presence of subjective norm, attitude, perceived behavioural control, perceived organizational support and negation of intention. The result highlights the need for safety protocols to be conscious of the interplay between nurses' assessment of self, social clues and perception of management care and support since such psychological factors must be considered concurrently to achieve the optimal safety compliance behaviour among nurses.

Conclusion

A health and safety protocol that fails to recognize the importance of psychological antecedents on subordinates' safety compliance behaviour could limit the safety policy's usefulness in bringing the appropriate behavioural change in nurses.

Impact

To date, no study has combined the antecedents of theory planned behaviour with perceived organizational support and cue to action to assess how they collectively predict nurses' safety compliance behaviour. Findings from the study suggest that nurses in primary health facilities inform their safety compliance behaviour by assessing self-capabilities, social signals from superiors and colleagues and perception of management support. Hospital administrators and nursing managers in sub-Saharan Africa may rely on these psychological forces to persuade nurses to develop positive safety compliance behaviour at the health facility.

Patient or Public Contribution

No Patient or Public Contribution.

Performance evaluation of national healthcare systems in the prevention and treatment of non-communicable diseases in sub-Saharan Africa

by Kwadwo Arhin, Disraeli Asante-Darko

Background

Non-communicable diseases (NCDs) remain a major public health concern globally, threatening the achievement of sustainable development goal 3.4 (SDG 3.4), which seeks to reduce premature NCD-related deaths by one-third by 2030. According to the World Health Organization (WHO), improving the efficiency of NCD spending (i.e., maximizing the impact of every dollar spent on NCDs) is one of the strategic approaches for achieving SDG target 3.4. This study aims to assess the efficiency and productivity of NCDs spending in 34 sub-Saharan African (SSA) countries from 2015 to 2019.

Methods

The study employed the data envelopment analysis (DEA) double-bootstrap truncated and Tobit regressions, one-stage stochastic frontier analysis (SFA) model, the Malmquist productivity index (MPI), and spatial autocorrelation analysis to estimate NCDs spending efficiency, identify the context-specific environmental factors that influence NCDs spending efficiency, evaluate total productivity change and identify its components, and assess the spatial interdependence of the efficiency scores.

Results

The estimated average DEA bias-corrected NCD spending efficiency score was 87.3% (95% CI: 86.2–88.5). Additionally, smoking per capita, solid fuel pollution, alcohol use, governance quality, urbanization, GDP per capita, external funding for NCDs, and private domestic funding for NCDs healthcare services were found to be significantly associated with NCDs spending efficiency. The study also revealed a decline of 3.2% in the MPI, driven by a 10.6% technical regress. Although all countries registered growth in efficiency, except for the Central Africa Republic and DR Congo, the growth in efficiency was overshadowed by the decline in technical change. Global Moran’s I test indicated the existence of significant positive spatial autocorrelation in the efficiency of NCDs spending across SSA countries.

Conclusion

The study underscores the importance of efficient use of resources in NCDs treatment and prevention and increased investment in NCDs research and development in achieving the SDG target 3.4.

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