Effects of COVID-19 Pandemic and Lockdown on Monitoring and Treatment Balance of Finnish Coronary Heart Disease and Type 2 Diabetes Patients

References

• Tiirinki H, Tynkkynen LK, Sovala M, et al. COVID-19 pandemic in Finland - preliminary analysis on health system response and economic consequences. Health Policy Technol. 2020;9(4):649–662. doi:10.1016/j.hlpt.2020.08.005
   PubMed Web of Science ®Google Scholar
• Parikka S, Ikonen J, Koskela T, et al. Koronan vaikutukset vaihtelevat alueittain - eroja myös ikääntyneillä sekä toimintarajoitteisilla verrattuna muuhun väestöön. Kansallisen FinSote-tutkimuksen ennakkotuloksia syksyllä 2020. [The effects of the Corona vary from region to region - there are also differences between the elderly and the disabled compared to the rest of the population. Preliminary results of the national FinSote survey in autumn 2020]; 2020. National Institute for Health and Welfare (THL). Available from: thl.fi/finsote. Accessed November 4, 2022.
   Google Scholar
• Siun sote. Pohjois-Karjalassa todettu ensimmäinen koronavirustartunta [The first coronavirus infection detected in North Karelia]. Joint municipal authority for North Karelia social and health services (Siun Sote); 2020a. Available from: https://www.siunsote.fi/ajankohtaista-2020/-/asset_publisher/Pd3n5XvvikRz/content/pohjois-karjalassa-todettu-ensimmainen-koronavirustartunta?_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_redirect=https%3A%2F%2Fwww.siunsote.fi%2Fajankohtaista-2020%3Fp_p_id%3Dcom_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_cur%3D9%26_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_delta%3D20%26p_r_p_resetCur%3Dfalse%26_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_assetEntryId%3D8031738. Accessed November 4, 2022.
   Google Scholar
• Siun sote. Muutoksia Siun soten palveluihin ja toimintaan koronavirustilanteen johdosta [Changes in Siun Sote’s services and operations due to the coronavirus situation]. Joint municipal authority for North Karelia social and health services (Siun Sote); 2020b. Available from: https://www.siunsote.fi/ajankohtaista-2020/-/asset_publisher/Pd3n5XvvikRz/content/muutoksia-siun-soten-palveluihin-ja-toimintaan-koronavirustilanteen-johdosta?_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_redirect=https%3A%2F%2Fwww.siunsote.fi%2Fajankohtaista-2020%3Fp_p_id%3Dcom_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_cur%3D8%26_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_delta%3D20%26p_r_p_resetCur%3Dfalse%26_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_Pd3n5XvvikRz_assetEntryId%3D8115536. Accessed November 4, 2022.
   Google Scholar
• Inglin L, Wikström K, Lamidi M-L, Laatikainen T. The adverse effect of the COVID-19 pandemic on health service usage among patients with type 2 diabetes in North Karelia, Finland. BMC Health Serv Res. 2022;22(1):725. doi:10.1186/s12913-022-08105-z
   Web of Science ®Google Scholar
• Penfold RB, Zhang F. Use of interrupted time series analysis in evaluating health care quality improvements. Acad Pediatr. 2013;13(Suppl 6):S38–S44. doi:10.1016/j.acap.2013.08.002
   Web of Science ®Google Scholar
• Wagner AK, Soumerai SB, Zhang F, Ross-Degnan D. Segmented regression analysis of interrupted time series studies in medication use research. J Clin Pharm Ther. 2002;27:299–309. doi:10.1046/j.1365-2710.2002.00430.x
   PubMed Web of Science ®Google Scholar
• Saeed S, Moodie EEM, Strumpf EC, Klein MB. Segmented generalized mixed effect models to evaluate health outcomes. Int J Public Health. 2018;63(4):547–551. doi:10.1007/s00038-018-1091-9
   PubMed Web of Science ®Google Scholar
• Working group set up by the Finnish Medical Society Duodecim, the Finnish Society of Internal Medicine and the Medical Advisory Board of the Finnish Diabetes Society. Type 2 diabetes. Current care guidelines (in Finnish). Helsinki: The Finnish Medical Society Duodecim; 2020. Available from: www.kaypahoito.fi. Accessed November 4, 2022.
   Google Scholar
• Working group set up by the Finnish Medical Society Duodecim and the Finnish Cardiac Society. Acute coronary syndrome. Current care guidelines (in Finnish). Helsinki: The Finnish Medical Society Duodecim; 2022. Available from: www.kaypahoito.fi. Accessed November 4, 2022.
   Google Scholar
• Leskelä RL, Torvinen A, Rissanen TT, et al. Outcomes of lipid control in secondary prevention of coronary artery disease in Finland: a 24-month follow-up after acute coronary syndrome. Atherosclerosis. 2020;296:4–10. doi:10.1016/j.atherosclerosis.2020.01.018
   Web of Science ®Google Scholar
• World Health Organization. Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000–2019. Geneva: World Health Organization; 2020.
   Google Scholar
• Dai H, Much AA, Maor E. Global, regional, and national burden of ischaemic heart disease and its attributable risk factors, 1990–2017: results from the Global Burden of Disease Study 2017. Eur Heart J. 2022;8(1):50–60. doi:10.1093/ehjqcco/qcaa076
   Web of Science ®Google Scholar
• International Diabetes Federation. IDF Diabetes Atlas. 10th ed. International Diabetes Federation; 2021.
   Google Scholar
• Carr MJ, Wright AK, Leelarathna L, et al. Impact of COVID-19 on diagnoses, monitoring, and mortality in people with type 2 diabetes in the UK. Lancet Diabetes Endocrinol. 2021;9:413–415. doi:10.1016/S2213-8587(21)00116-9
   Web of Science ®Google Scholar
• Carr MJ, Wright AK, Leelarathna L, et al. Impact of COVID-19 restrictions on diabetes health checks and prescribing for people with type 2 diabetes: a UK-wide cohort study involving 618 161 people in primary care. BMJ Qual Saf. 2021;bmjqs-2021–013613. doi:10.1136/bmjqs-2021-013613
   Web of Science ®Google Scholar
• Coma E, Mora N, Méndez L, et al. Primary care in the time of COVID-19: monitoring the effect of the pandemic and the lockdown measures on 34 quality of care indicators calculated for 288 primary care practices covering about 6 million people in Catalonia. BMC Fam Pract. 2020;21:208. doi:10.1186/s12875-020-01278-8
   PubMed Web of Science ®Google Scholar
• Ramírez Manent JI, Altisench Jané B, Sanchís Cortés P, et al. Impact of COVID-19 lockdown on anthropometric variables, blood pressure, and glucose and lipid profile in healthy adults: a before and after pandemic lockdown longitudinal study. Nutrients. 2022;14:1237. doi:10.3390/nu14061237
   Web of Science ®Google Scholar
• Ojo O, Wang XH, Ojo OO, et al. The effects of COVID-19 lockdown on glycaemic control and lipid profile in patients with type 2 diabetes: a systematic review and meta-analysis. Int J Environ Res Public Health. 2022;19(3):1095. doi:10.3390/ijerph19031095
   Web of Science ®Google Scholar
• Eberle C, Stichling S. Impact of COVID-19 lockdown on glycemic control in patients with type 1 and type 2 diabetes mellitus: a systematic review. Diabetol Metab Syndr. 2021;13(1):95. doi:10.1186/s13098-021-00705-9
   PubMed Web of Science ®Google Scholar
• Stratton IM, Adler AI, Neil HA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321(7258):405–412. doi:10.1136/bmj.321.7258.405
   PubMed Web of Science ®Google Scholar
• Selvin E, Marinopoulos S, Berkenblit G, et al. Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus. Ann Intern Med. 2004;141:421–431. doi:10.7326/0003-4819-141-6-200409210-00007
   PubMed Web of Science ®Google Scholar
• UKPDS Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet. 1998;352:837–853. doi:10.1016/S0140-6736(98)07019-6
   PubMed Web of Science ®Google Scholar
• Joensen LE, Madsen KP, Holm L, et al. Diabetes and COVID-19: psychosocial consequences of the COVID-19 pandemic in people with diabetes in Denmark-what characterizes people with high levels of COVID-19-related worries? Diabetic Med. 2020;37(7):1146–1154. doi:10.1111/dme.14319
   PubMed Web of Science ®Google Scholar
• Park S-D, Kim S-W, Moon JS. Impact of social distancing due to coronavirus disease 2019 on the changes in glycosylated hemoglobin level in people with type 2 diabetes mellitus. Diabetes Metab J. 2021;45(1):109–114. doi:10.4093/dmj.2020.0226
   Web of Science ®Google Scholar
• Robinson E, Gillespie S, Jones A. Weight-related lifestyle behaviours and the COVID-19 crisis: an online survey study of UK adults during social lockdown. Obes Sci Pract. 2020;6:735–740. doi:10.1002/osp4.442
   PubMed Web of Science ®Google Scholar
• Robinson E, Boyland E, Chisholm A, et al. Obesity, eating behavior and physical activity during COVID-19 lockdown: a study of UK adults. Appetite. 2021;156:104853. doi:10.1016/j.appet.2020.104853
   PubMed Web of Science ®Google Scholar
• Scarmozzino F, Visioli F. Covid-19 and the subsequent lockdown modified dietary habits of almost half the population in an Italian sample. Foods. 2020;9(5):675. doi:10.3390/foods9050675
   PubMed Web of Science ®Google Scholar
• Pellegrini M, Ponzo V, Rosato R, Scumaci E, Goitre I, Benso A. Changes in weight and nutritional habits in adults with obesity during the “lockdown” period caused by the COVID-19 virus emergency. Nutrients. 2020;12(7):2016. doi:10.3390/nu12072016
   PubMed Web of Science ®Google Scholar