Izabela Zakowska

Introduction and objective: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. The aim of the study was to evaluate the impact of intervention on exacerbations of COPD in elderly patients compared to those receiving usual care. Material and methods: A...

Objectives To evaluate the prevalence and identify demographic, economic and environmental local community determinants of chronic obstructive pulmonary disease (COPD) exacerbations in elderly in primary care using Big Data approach. Design Retrospective observational case–control study based on Big Data from the National Health Found, Tax Office and National Statistics Center databases in 2016. Setting Primary care clinics in the Lodz province in Poland. Participants 472 314 patients aged 65 and older in primary care, including 17 240 patients with COPD and 1784 with exacerbations (including deaths). Outcome measures Exacerbations with demographic, economic and environmental local community determinants were retrieved. Conditional logistic regression for matched pairs was used to evaluate the local community determinants of COPD exacerbations among patients with COPD. Results The overall prevalence of COPD in the population of elderly patients registered in primary healthcare clinic clinics in Lodz province in 2016 was 3.65%, 95% CI (3.60% to 3.70%) and the prevalence of exacerbations was 10.35%, 95% CI (9.89% to 10.80%). The high number of consultations in primary care clinics was associated with higher risk of COPD exacerbations (p=0.0687). High-income patients were less likely to have exacerbations than low-income patients (high vs low OR 0.601, 95% CI (0.385 to 0.939)). The specialisation of the primary care physician did not have an effect on exacerbations (OR 1.076, 95% CI (0.920 to 1.257)). Neither the forest cover per gmina (high vs low OR 0.897, 95% CI (0.605 to 1.331); medium vs low OR 0.925, 95% CI (0.648 to 1.322)), nor location of gmina (urban vs urban–rural OR 1.044; 95% CI (0.673 to 1.620)), (rural vs urban–rural OR 0.897, 95% CI (0.630 to 1.277)) appears to influence COPD exacerbations. Conclusions Big Data statistical analysis facilitated the evaluation of the prevalence and determinants of COPD exacerbation in the elderly residents of Lodz province, Poland. Modification of identified local community determinants may potentially decrease the number of exacerbations in elderly patients with COPD.

Background: The third most frequent chronic condition, and the fourth most common cause of death, in Poland is chronic obstructive pulmonary disease (COPD). The diagnosis and treatment of COPD is the responsibility of the general practitioner (GP); the GP also serves as gatekeeper, referring patients to the other levels of public health care system when necessary. Undertreatment of COPD can result in a greater frequency of exacerbations and hospitalizations. Elderly patients require special attention due to the increased prevalence of COPD and systemic comorbidities. However, both the occurrence of exacerbations and the quality of life of the patients may be improved by developing and implementing guidelines for practice and ensuring their adherence. This proposal concerns the development of a checklist-based educational program to assist general practitioners in managing COPD patients.Methods: No less than eighty-four general clinics in the Lodz region, Poland (28 clusters in each of three study arms), will be identified, randomized, and included in the trial. The trial will be based on anonymized data in electronic health records within the national public health care system.The educational intervention program will consist of GPs in two intervention arms being provided with a COPD management checklist: those in the first intervention arm with receive the checklist once at the beginning, while those in the second with receive it twice. The third (control) arm receives standard care without the checklist.The study used the International Code of Diseases (ICD)-10 for COPD. The primary aim is to determine the effect of interventions delivered to general practitioners (GPs) in primary health care. These interventions are aimed at decreasing the hospitalization of elderly patients with medical code J-44 (COPD) as the main reason for hospital admission.Discussion: The results of this trial will be directly applicable to primary care in Poland and add new data to the growing body of evidence regarding interventions aimed at improving chronic illness care.Trial registration: This trial has been registered with the Clinical Trials Protocol Registration System. Please see inClinicalTrial.govidentifier (NCT Number):NCT04301505. Registered on 10 March 2020.

Background: Strategic management of primary health care centres is necessary for creating an efficient global health care system that delivers good care. Objectives: To perform a systematic literature review of the use of data envelopment analysis in estimating the relative technical efficiency of primary health care centres, and to identify the inputs, outputs and models used. Methods: PubMed, MEDLINE Complete, Embase and Web of Science were searched for papers published before the 25 March 2019. Results: Of a total of 4231 search results, 54 studies met the inclusion criteria. The identified inputs included personnel costs, gross expenditures, referrals and days of hospitalization, as well as prescriptions and investigations. Outputs included consultations or visits, registered patients, procedures, treatments and services, prescriptions and investigations. A variety of data envelopment analysis models used was identified, with no standard approach. Conclusions: Data envelopment analysis extends the scope of tools used to analyse primary care functioning. It can support health economic analyses when assessing primary care efficiency. The main issues are setting outputs and inputs and selecting a model best suited for the range of products and services in the primary health care sector. This article serves as a step forward in the standardization of data envelopment analysis, but further research is needed.

Introduction: Analyses of large sets of electronic health-related data (Big Data), including local community indicators, may improve knowledge of the outcomes of chronic diseases among patients and healthcare systems. Our study will estimate the prevalence of chronic obstructive pulmonary disease (COPD) and its exacerbations in elderly patients in the Lodz region, Poland; it will also evaluate local community factors potentially associated with disease exacerbations and rank local communities according to health and local community indicators. Methods and analysis: Local community factors, including medical/health, socioeconomic and environmental values potentially associated with COPD exacerbations will be identified. A retrospective analysis of a cohort of about half a million people 65 years old and older, living in local communities of the Lodz region in 2016 will be performed. Relevant data will be extracted from databases, including those of the National Health Fund, Tax Office and National Statistics Centre. This cross-sectional study will include data for a 1 year period, from 1 January until 31 December 2016. The data will first be checked for quality, cleaned and analysed using data mining techniques, and then multilevel logistic regression will be used to discover the community determinants of COPD exacerbations. Ethics and dissemination: The study protocol has been approved by the Bioethical Committee of Medical University of Lodz (RNN/248/18/KE, 10 July 2018). Our findings will be published in peer-reviewed journals and reports.

Introduction and objective: The idiosyncrasies of rural health demand further research to instigate rural health initiatives and to monitor progress in rural health care. In 2008, a study examined health-related behaviour, perception of importance of preventive interventions, readiness to...

Chronic obstructive pulmonary disease (COPD) remains a major health problem, strongly related to smoking. Despite the publication of practice guidelines on prevention and treatment, not all patients with the disease receive the recommended healthcare, particularly with regard to smoking cessation advice where applicable. We have developed a tailored implementation strategy for enhancing general practitioners’ adherence to the disease management guidelines. The primary aim of the study is to evaluate the effects of this tailored implementation intervention on general practitioners’ adherence to guidelines. A pragmatic two-arm cluster randomized trial has been planned to compare care following the implementation of tailored interventions of four recommendations in COPD patients against usual care. The study will involve 18 general practices (9 in the intervention group and 9 in the control group) in Poland, each with at least 80 identified (at the baseline) patients with diagnosed COPD. The nine control practices will provide usual care without any interventions. Tailored interventions to implement four recommendations will be delivered in the remaining nine practices. At follow-up after nine months, data will be collected for all 18 general practices. The primary outcome measure is physicians’ adherence to all four recommendations: brief anti-smoking advice, dyspnea assessment, care checklist utilization and demonstration to patients of correct inhaler use. This measurement will be based on data extracted from identified patients’ records. Additionally, we will survey and interview patients with chronic obstructive pulmonary disease about the process of care. The results of this trial will be directly applicable to primary care in Poland and add to the growing body of evidence on interventions to improve chronic illness care. This trial has been registered with Clinical Trials Protocol Registration System. Trial number: NCT01893476 .