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Published in

Oxford University Press, European Journal of Public Health, 6(30), p. 1146-1151, 2020

DOI: 10.1093/eurpub/ckaa037

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Implementing Package of Essential Non-communicable Disease Interventions in the Republic of Moldova—a feasibility study

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Abstract Background The aim of this study is to determine the feasibility of implementing and evaluating the World Health Organization Package of Essential Non-communicable Disease Interventions (WHO PEN) approach in primary healthcare in the Republic of Moldova. Methods According to our published a priori methods, 20 primary care clinics were randomized to 10 intervention and 10 control clinics. The intervention consisted of implementation of adapted WHO PEN guidelines and structured training for health workers; the control clinics continued with usual care. Data were gathered from paper-based patient records in July 2017 and August 2018 resulting in a total of 1174 and 995 patients in intervention and control clinics at baseline and 1329 and 1256 at follow-up. Pre-defined indicators describing assessment of risk factors and total cardiovascular risk, prescribing medications and treatment outcomes were calculated. Differences between baseline and follow-up as well as between intervention and control clinics were calculated using logistic and linear regression models and by assessing interaction effects. Results Improvements were seen in recording smoking status, activity to measure HbA1c among diabetes patients and achieving control in hypertension treatment. Improvement was also seen in identification of patients with hypertension or diabetes. Less improvement or even deterioration was seen in assessing total risk or prescribing statins for high-risk patients. Conclusions It is feasible to evaluate the quality and management of patients with non-communicable diseases in low-resource settings from routine data. Modest improvements in risk factor identification and management can be achieved in a relatively short period of time.