Implementing Package of Essential Non-communicable Disease Interventions in the Republic of Moldova—a feasibility study
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...
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Veröffentlicht in: | European journal of public health 2020-12, Vol.30 (6), p.1146-1151 |
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creator | Laatikainen, Tiina Inglin, Laura Collins, Dylan Ciobanu, Angela Curocichin, Ghenadie Salaru, Virginia Zatic, Tatiana Anisei, Angela Chiosa, Diana Munteanu, Maria Alexa, Zinaida Farrington, Jill |
description | 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. |
doi_str_mv | 10.1093/eurpub/ckaa037 |
format | Article |
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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.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckaa037</identifier><identifier>PMID: 32298428</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Cardiovascular diseases ; Clinics ; Delivery of Health Care ; Diabetes ; Diabetes mellitus ; Disease ; Evaluation ; Feasibility Studies ; Health care ; Health risks ; Health services ; Humans ; Hypertension ; Hypertension - drug therapy ; Hypertension - epidemiology ; Intervention ; Medical personnel ; Medical treatment ; Moldova ; Noncommunicable Diseases - epidemiology ; Noncommunicable Diseases - prevention & control ; Patients ; Primary care ; Public health ; Quality ; Regression analysis ; Regression models ; Resource management ; Risk analysis ; Risk assessment ; Risk factors ; Risk groups ; Risk management ; Smoking ; Statins</subject><ispartof>European journal of public health, 2020-12, Vol.30 (6), p.1146-1151</ispartof><rights>World Health Organization, 2020. All rights reserved. The World Health Organization has granted the Publisher permission for the reproduction of this article. 2020</rights><rights>World Health Organization, 2020. All rights reserved. The World Health Organization has granted the Publisher permission for the reproduction of this article.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-61631962997ed9a60ea7167a627354e98fb8807d874c8571ee8da11703defd603</citedby><cites>FETCH-LOGICAL-c397t-61631962997ed9a60ea7167a627354e98fb8807d874c8571ee8da11703defd603</cites><orcidid>0000-0002-6614-4782</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1598,27845,27903,27904</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/eurpub/ckaa037$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32298428$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Laatikainen, Tiina</creatorcontrib><creatorcontrib>Inglin, Laura</creatorcontrib><creatorcontrib>Collins, Dylan</creatorcontrib><creatorcontrib>Ciobanu, Angela</creatorcontrib><creatorcontrib>Curocichin, Ghenadie</creatorcontrib><creatorcontrib>Salaru, Virginia</creatorcontrib><creatorcontrib>Zatic, Tatiana</creatorcontrib><creatorcontrib>Anisei, Angela</creatorcontrib><creatorcontrib>Chiosa, Diana</creatorcontrib><creatorcontrib>Munteanu, Maria</creatorcontrib><creatorcontrib>Alexa, Zinaida</creatorcontrib><creatorcontrib>Farrington, Jill</creatorcontrib><title>Implementing Package of Essential Non-communicable Disease Interventions in the Republic of Moldova—a feasibility study</title><title>European journal of public health</title><addtitle>Eur J Public Health</addtitle><description>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.</description><subject>Cardiovascular diseases</subject><subject>Clinics</subject><subject>Delivery of Health Care</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Disease</subject><subject>Evaluation</subject><subject>Feasibility Studies</subject><subject>Health care</subject><subject>Health risks</subject><subject>Health services</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - drug therapy</subject><subject>Hypertension - epidemiology</subject><subject>Intervention</subject><subject>Medical personnel</subject><subject>Medical treatment</subject><subject>Moldova</subject><subject>Noncommunicable Diseases - epidemiology</subject><subject>Noncommunicable Diseases - prevention & control</subject><subject>Patients</subject><subject>Primary care</subject><subject>Public health</subject><subject>Quality</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Resource management</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Risk groups</subject><subject>Risk management</subject><subject>Smoking</subject><subject>Statins</subject><issn>1101-1262</issn><issn>1464-360X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><recordid>eNqFkctu1TAQhq2Kqvdtl8gSG1ik9SXxZYlKoUdqoUIgsYucZFJcHDuN40qnKx6iD9Bn6aPwJPjoHFiwYTWj0fd_GulH6JiSE0o0P4U0jak5bX8YQ7jcQnu0FGXBBfn2Iu-U0IIywXbRfoy3hJBKKraDdjljWpVM7aGHxTA6GMDP1t_ga5NFN4BDj89jXB2Nwx-DL9owDMnb1jQO8DsbwUTACz_DdL-igo_PT9bj-Tvgz5AfcrZdSa6C68K9-fXz0eA-Z2xjnZ2XOM6pWx6i7d64CEebeYC-vj__cnZRXH76sDh7e1m0XMu5EFRwqgXTWkKnjSBgJBXSCCZ5VYJWfaMUkZ2SZasqSQFUZyiVhHfQd4LwA_R67R2ncJcgzvVgYwvOGQ8hxZpxTbWsiBYZffUPehvS5PN3NSuloFW28kydrKl2CjFO0NfjZAczLWtK6lUr9bqVetNKDrzcaFMzQPcX_1NDBt6sgZDG_8l-AxBGm2A</recordid><startdate>20201211</startdate><enddate>20201211</enddate><creator>Laatikainen, Tiina</creator><creator>Inglin, Laura</creator><creator>Collins, Dylan</creator><creator>Ciobanu, Angela</creator><creator>Curocichin, Ghenadie</creator><creator>Salaru, Virginia</creator><creator>Zatic, Tatiana</creator><creator>Anisei, Angela</creator><creator>Chiosa, Diana</creator><creator>Munteanu, Maria</creator><creator>Alexa, Zinaida</creator><creator>Farrington, Jill</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6614-4782</orcidid></search><sort><creationdate>20201211</creationdate><title>Implementing Package of Essential Non-communicable Disease Interventions in the Republic of Moldova—a feasibility study</title><author>Laatikainen, Tiina ; Inglin, Laura ; Collins, Dylan ; Ciobanu, Angela ; Curocichin, Ghenadie ; Salaru, Virginia ; Zatic, Tatiana ; Anisei, Angela ; Chiosa, Diana ; Munteanu, Maria ; Alexa, Zinaida ; Farrington, Jill</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-61631962997ed9a60ea7167a627354e98fb8807d874c8571ee8da11703defd603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cardiovascular diseases</topic><topic>Clinics</topic><topic>Delivery of Health Care</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Disease</topic><topic>Evaluation</topic><topic>Feasibility Studies</topic><topic>Health care</topic><topic>Health risks</topic><topic>Health services</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - drug therapy</topic><topic>Hypertension - epidemiology</topic><topic>Intervention</topic><topic>Medical personnel</topic><topic>Medical treatment</topic><topic>Moldova</topic><topic>Noncommunicable Diseases - epidemiology</topic><topic>Noncommunicable Diseases - prevention & control</topic><topic>Patients</topic><topic>Primary care</topic><topic>Public health</topic><topic>Quality</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Resource management</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Risk groups</topic><topic>Risk management</topic><topic>Smoking</topic><topic>Statins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Laatikainen, Tiina</creatorcontrib><creatorcontrib>Inglin, Laura</creatorcontrib><creatorcontrib>Collins, Dylan</creatorcontrib><creatorcontrib>Ciobanu, Angela</creatorcontrib><creatorcontrib>Curocichin, Ghenadie</creatorcontrib><creatorcontrib>Salaru, Virginia</creatorcontrib><creatorcontrib>Zatic, Tatiana</creatorcontrib><creatorcontrib>Anisei, Angela</creatorcontrib><creatorcontrib>Chiosa, Diana</creatorcontrib><creatorcontrib>Munteanu, Maria</creatorcontrib><creatorcontrib>Alexa, Zinaida</creatorcontrib><creatorcontrib>Farrington, Jill</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Laatikainen, Tiina</au><au>Inglin, Laura</au><au>Collins, Dylan</au><au>Ciobanu, Angela</au><au>Curocichin, Ghenadie</au><au>Salaru, Virginia</au><au>Zatic, Tatiana</au><au>Anisei, Angela</au><au>Chiosa, Diana</au><au>Munteanu, Maria</au><au>Alexa, Zinaida</au><au>Farrington, Jill</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementing Package of Essential Non-communicable Disease Interventions in the Republic of Moldova—a feasibility study</atitle><jtitle>European journal of public health</jtitle><addtitle>Eur J Public Health</addtitle><date>2020-12-11</date><risdate>2020</risdate><volume>30</volume><issue>6</issue><spage>1146</spage><epage>1151</epage><pages>1146-1151</pages><issn>1101-1262</issn><eissn>1464-360X</eissn><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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>32298428</pmid><doi>10.1093/eurpub/ckaa037</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-6614-4782</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Cardiovascular diseases Clinics Delivery of Health Care Diabetes Diabetes mellitus Disease Evaluation Feasibility Studies Health care Health risks Health services Humans Hypertension Hypertension - drug therapy Hypertension - epidemiology Intervention Medical personnel Medical treatment Moldova Noncommunicable Diseases - epidemiology Noncommunicable Diseases - prevention & control Patients Primary care Public health Quality Regression analysis Regression models Resource management Risk analysis Risk assessment Risk factors Risk groups Risk management Smoking Statins |
title | Implementing Package of Essential Non-communicable Disease Interventions in the Republic of Moldova—a feasibility study |
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