High hospital readmission rates for patients aged ≥65 years associated with low socioeconomic status in a Swedish region: a cross-sectional study in primary care

References

• OECD. Health at a glance 2013: OECD indicators. Paris: OECD Publishing; 2013. Available from: http://dx.doi.org/10.1787/health_glance-2013-en.
   Google Scholar
• Federspiel C, Keipes M. Geriatrics from the 19th to the 21st century. 150 years of geriatric medicine: from increasing life expectancy to improving quality of life for the very old. Bull Soc Sci Med Grand-Duche de Luxembourg. 2014;2:69–78.
   Google Scholar
• Danielsson C, Pallin J, Werr J. Återinläggningar och undvikbar slutenvård [Readmissions and avoidable hospitalizations]. Stockholm (Sweden): Health Navigator AB; 2012. Available from: http://narvardssamverkan-sodra-alvsborg.vgregion.se/upload/N%C3%A4rv%C3%A5rdssamverkan%20S%C3%B6dra%20%C3%84lvsborg/Uppdragsgrupper/Uppdragsgrupp%20%C3%84ldre/Aterinlaggning_och_undvikbar_slutenvard_Healt%20Navigator.pdf.
   Google Scholar
• Jasti H, Mortensen EM, Obrosky DS, et al. Causes and risk factors for rehospitalization of patients hospitalized with community-acquired pneumonia. Clin Infect Dis. 2008;46:550–556.
   PubMed Web of Science ®Google Scholar
• Ministry of Health and Social Affairs. Godkännande av en överenskommelse om insatser för att samordna vård och omsorg om de mest sjuka äldre (Approval of an agreement on measures to coordinate care for the most ill elderly) [Internet]. Stockholm (Sweden): Ministry of Health and Social Affairs; 2011. Available from: http://www.regeringen.se/overenskommelser-och-avtal/2012/12/s20128765fst/.
   Google Scholar
• Hopman P, Heins MJ, Rijken M, et al. Health care utilization of patients with multiple chronic diseases in The Netherlands: differences and underlying factors. Eur J Intern Med. 2015;26:190–196.
   PubMed Web of Science ®Google Scholar
• Damiani G, Salvatori E, Silvestrini G, et al. Influence of socioeconomic factors on hospital readmissions for heart failure and acute myocardial infarction in patients 65 years and older: evidence from a systematic review. Clin Interv Aging. 2015;10:237–245.
   PubMed Web of Science ®Google Scholar
• Lindenauer PK, Lagu T, Rothberg MB, et al. Income inequality and 30 day outcomes after acute myocardial infarction, heart failure, and pneumonia: retrospective cohort study. BMJ. 2013;346:f521.
   PubMed Web of Science ®Google Scholar
• Herrin J, St. Andre J, Kenward K, et al. Community factors and hospital readmission rates. Health Serv Res. 2015;50:20–39.
   PubMed Web of Science ®Google Scholar
• Stack P, Forsberg B, Hogberg M, et al. The risk of acute readmission can be predicted. Former care consumption patterns and certain diagnoses are strongly predictive. Lakartidningen. 2012;109:2211–2215.
   PubMedGoogle Scholar
• Swedish Association of Local Authorities and Regions. Fyra områden för att undvika sjukhusvistelser [Four areas in order to avoid hospitalizations] [Internet]. Stockholm (Sweden): SALAR; 2013. Available from: http://plus.rjl.se/info_files/infosida41409/arbetsboken_fyra_omraden1.pdf.
   Google Scholar
• Health Navigator AB. Heath Navigator Analys 2013. Örebro (Sweden): Regionförbundet Örebro; 2013. Available from: https://www.regionorebrolan.se/sv/Regional-utveckling/Valfard–folkhalsa/Aldre/.
   Google Scholar
• Yin RK. Case study research: design and methods. Vol. 4. Thousand Oaks (CA): SAGE; 2009. (Applied social research methods; 5).
   Google Scholar
• The National Board of Health and Welfare. Sammanhållen vård och omsorg om de mest sjuka äldre 2012 [Cohesive care of the most frail elderly 2012]. Stockholm (Sweden): NBHW; 2012. Available from: http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/18892/2012-11-16.pdf.
   Google Scholar
• Statistics Sweden. Care Need Index (CNI): Planeringsunderlag för vårdcentraler [Planning basis for health centres]. Örebro (Sweden): Statistics Sweden; 2016. Available from: http://www.scb.se/sv_/Vara-tjanster/Regionala-statistikprodukter/Care-Need-Index-CNI/.
   Google Scholar
• Malmstrom M, Sundquist J, Bajekal M, et al. Indices of need and social deprivation for primary health care. Scand J Soc Med. 1998;26:124–130.
   PubMedGoogle Scholar
• Lindstrom K, Simonsson AS, Engstrom S, et al. Socioekonomiska faktorer är viktiga när resurser skall fördelas till sjukvården! [Socioeconomic factors important in health care resource allocation!]. Lakartidningen. 2009;106:732–733.
   PubMedGoogle Scholar
• Malmstrom M, Johansson SE, Sundquist J. A hierarchical analysis of long-term illness and mortality in socially deprived areas. Soc Sci Med. 2001;53:265–275.
   PubMed Web of Science ®Google Scholar
• The Swedish Social Insurance Agency. Socialförsäkringen i siffror 2010 [Social insurance in figures-2010]. Stockholm (Sweden): The Swedish Social Insurance Agency; 2010. Available from: https://www.forsakringskassan.se/wps/wcm/connect/8e932364-7cd7-40d4-ab01-794cd5e9e291/socialforsakringen_i_siffror_2010.pdf?MOD=AJPERES.
   Google Scholar
• Weston C, Gilkes A, Durbaba S, et al. Long term condition morbidity in English general practice: a cross-sectional study using three composite morbidity measures. BMC Fam Pract. 2016;17:166.
   PubMed Web of Science ®Google Scholar
• Rosted E, Schultz M, Sanders S. Frailty and polypharmacy in elderly patients are associated with a high readmission risk. Danish Med J. 2016;63:A5274.
   PubMed Web of Science ®Google Scholar
• Swedish Association of Local Authorities and Regions. Kvalitetsportal [Quality portal] [Internet]. Stockholm (Sweden): SALAR; 2015. Available from: www.kvalitetsportal.se.
   Google Scholar
• Swinscow D. Statistics at Square One. London: BMJ Publishing Group; 1997. Available from: http://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one.
   Google Scholar
• Larsen T. Förförande jämförelser [Seductive comparisons]. Göteborg (Sweden): FoU i Väst; 2015. Available from: https://www.grkom.se/download/18.162d00515031aafac6c7426/1444129677623/forforande_jamforelser_vardcentralers_kvalitet_undvikbar_slutenvard_oplanerade_aterinskrivningar_2015.pdf
   Google Scholar
• Glance LG, Kellermann AL, Osler TM, et al. Impact of risk adjustment for socioeconomic status on risk-adjusted surgical readmission rates. Annal Surg. 2016;263:698–704.
   PubMed Web of Science ®Google Scholar
• Naylor MD, Bowles KH, McCauley KM, et al. High-value transitional care: translation of research into practice. J Eval Clin Pract. 2013;19:727–733.
   PubMed Web of Science ®Google Scholar
• Nagasako EM, Reidhead M, Waterman B, et al. Adding socioeconomic data to hospital readmissions calculations may produce more useful results. Health Aff (Millwood). 2014;33:786–791.
   PubMed Web of Science ®Google Scholar
• Barnett K, Mercer SW, Norbury M, et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380:37–43.
   PubMed Web of Science ®Google Scholar
• Wangdahl J, Lytsy P, Martensson L, et al. Health literacy among refugees in Sweden - a cross-sectional study. BMC Public Health. 2014;14:1030.
   PubMed Web of Science ®Google Scholar
• Berkman ND, Sheridan SL, Donahue KE, et al. Low health literacy and health outcomes: an updated systematic review. Ann Intern Med. 2011;155:97–107.
   PubMed Web of Science ®Google Scholar
• Akbari W, Wikström H. The changing family patterns among immigrants: An evaluation of the causes of divorces among Iranian families in Sweden [master's thesis]. Göteborg (Sweden): University of Götebrorg; 2008.
   Google Scholar
• Scott IA, Shohag H, Ahmed M. Quality of care factors associated with unplanned readmissions of older medical patients: a case-control study. Intern Med J. 2014;44:161–170.
   PubMed Web of Science ®Google Scholar
• Zielinski A, Borgquist L, Halling A. Distance to hospital and socioeconomic status influence secondary health care use. Scand J Prim Health Care. 2013;31:83–88.
   PubMed Web of Science ®Google Scholar
• Heltberg A, Andersen JS, Kragstrup J, et al. Social disparities in diabetes care: a general population study in Denmark. Scand J Prim Health Care. 2017;35:54–63.
   PubMed Web of Science ®Google Scholar
• Tuso P, Huynh DN, Garofalo L, et al. The Readmission Reduction Program of Kaiser Permanente Southern California—Knowledge Transfer and Performance Improvement. PERMJ. 2013;17:58–63.
   PubMedGoogle Scholar
• Waller M, Blomstrand A, Hogberg T, et al. A primary care lifestyle programme suitable for socioeconomically vulnerable groups – an observational study. Scand J Prim Health Care. 2016;34:352–359.
   Google Scholar