Loading [a11y]/accessibility-menu.js
Research Article
BibTex RIS Cite

DÂHİLİ KLİNİKLERE YATAN HASTALARIN 90 GÜN İÇİNDE YENİDEN YATIŞ ORANLARININ DEĞERLENDİRİLMESİ

Year 2025, Volume: 34 Issue: 1, 86 - 92

Abstract

Dahili kliniklere yatırılan hastaların genellikle bir veya daha fazla kronik hastalığı vardır, bu da 65 yaş üstü hastalarda hastaneye tekrar yatış riskinin artmasına neden olur. Sık tekrar yatışlar, dahiliye bölümlerinde yatan kronik hastalar için önemli bir sorun haline gelmiştir. Bu çalışmada, bir eğitim ve araştırma hastanesinin dahiliye kliniklerinde yatarak sağlık hizmeti alan 65 yaş ve üzeri hastaların 90 gün içinde hastaneye yatış oranlarının ortaya konulması amaçlanmıştır. Çalışma verileri, 01.01.2021 ile 31.12.2021 tarihleri arasında değinilen hastanenin dahili kliniklerinde yatmış 65 yaş ve üzeri hastaların kayıtlarından oluşmaktadır. Çalışma grubunun yaş ortalaması 72.34±6.24 yıl olup %39.8'i kadın, %60.2'si erkektir. En yüksek hastaneye tekrar yatış oranı (%31.40) ilk bahar döneminde gerçekleşmiştir. Yaşlı bireyler hastaneye ortalama 32.72 gün içinde tekrar yatış için Kabul edilmiştir. Dahili kliniklerde yatan geriatric hastalarda 90 gün içinde tekrar hastaneye yatış oranı %45.57'dir. Her iki geriatric bireyden birinin taburcu olduktan sonraki ilk 3 ay içinde tekrar hastaneye yatırıldığı söylenebilir. Bu bağlamda hastaneye tekrar yatış oranlarının azaltılmasına yönelik politikaların dikkatle belirlenmesi önem arz etmektedir. Sağlıkta kalite standartları kapsamında izlenen göstergeler arasında “30 gün içinde hastaneye yatış oranı” bir gösterge olarak takip edilmeli ve sonuçlara gore iyileştirme çalışmalarının başlatılması önerilmektedir

References

  • WHO, World Population Aging 2019, https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Report.pdf. Accessed February 4,2023.
  • Turkish StatiScal Institute (TSI), Old People with Statistics, 2021. https://www.tuik.gov.tr/.
  • Kilit A, Corporal TP, Akalın K. Evaluation of Geriatric Patients Treated in the Internal Medicine Clinic.Sakarya Med J.2021;11(3):507-515. doi:10.31832/smj.927899.
  • Kayabek S, Sivrikaya I.Geriatric Care in Primary Health Care Services and Problems That are Encountered.YOBU Faculty of Health Sciences Journal. 2021;2(3):141-147.https://dergipark.org.tr/tr/download/article-file/2272220.
  • Küçük H, Karadeniz U. Physiological, Mental, Social Changes in Aging and Precautions for Protection.EIRJl. 2021;14(2);96-103. doi:10.46414/yasad.877517 9.
  • Nalbant A, Varım A, Kaya C, Tamer T. Investigation of Diagnostic Distribution in General Internal Medicine Patients aged 65 and over who were hospitalized in the Internal Diseases Clinic. Sakarya Med J. 2013;3(4);181-185. doi:10.5505/sakaryamj.2013.31644
  • Ozbudak A, Şahin E. Care Addictions of Hospitalized Elderly Individuals, The Relationship Between.Journal of Inonu University Health Services Vocational School. 2021;9(1):307-322. doi:10.33715/inonusaglik.835942.
  • Singh I. Assessment and management of older people in the general hospital setting. In Challenges in Elder Care,Edward T, Zawada Jr. 2016; 37. E-book, https://www.intechopen.com/chapters/51670.
  • Wang S, Pridham A, Nisenbaum KF, Pedersen R, Brown C, Hwang R. Factors Associated with Readmission Among General Internal Medicine Patients Experiencing Homelessness.J Gen Intern Med. 2021;1944-1950. doi:10.1007/s11606-020-06483-w.
  • Aydan C, Arıkan S. Examination of Factors Affecting Length of Hospital Stay in OECD Countries.HJHA. 2021;24(1):127-138.https://dergipark.org.tr/tr/download/article-file/1660072.
  • NumanogluTekin S, Yilmaz R, İlter F, Malhan HK. Determination of Factors Affecting Length of Stay with Multinomial Logistic Regression in Turkey.Journal of the Social Security. 2016;5(10):74-94. https://dergipark.org.tr/tr/download/article-file/220985.
  • Cilla P, Sabione F, D'Amelio I. Risk Factors for Early Hospital Readmission in Geriatric Patients: A Systematic Review.Int J Environ pic Public Health.2023;20:674. doi:10.3390/ijerph20031674.
  • Fatima M, Shamim S, Raffat S, Tariq S. Hospital readmissions in Internal Medicine Specialty:Frequency, associated factors, and outcomes.Pak J Med Sci. 2021;37(7):2008-2013. doi:10.12669/pjms.37.7.3575.
  • Seker CA. The Role of Comprehensive Geriatric Assessment in Predicting In-Hospital Morbidity and Mortality in Hospitalized Elderly Patients, Hacettepe University, Department of Internal Medicine, 2021; Ankara. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp.
  • Froom J, Shimoni P, Benbassat Z. A simple index predicting 30-day readmissions in acutely hospitalized patients.J Eval Clin Pract. 2020;August:1-7. doi:10.1111/jep.13516.
  • Antalya population,https://www.nufusu.com/il/antalya-nufusu, Accessed Date:January 14, 2023.
  • Nall RW, Herndon B, Mramba, LK Pharmd, Vogel-Anderson K, Hagen MG. An Interprofessional Primary Care Based Transition of Care Clinic to Reduce Hospital Readmission. Am JMed. 2020;133(6). doi:10.1016/j.amjmed.2019.10.040.
  • Ben-chetrit G, Chen-shuali E, Zimran C, Munter E, Nesher G A. Simplified Scoring Tool for Prediction of Readmission in Elderly Patients Hospitalized in Internal Medicine Departments.IMAJ.2012;14(12):752-756.
  • Leppert S, Sillau MH, Lindrooth S, Poisson RC (2020) Relationship between early follow-up and readmission within 30 and 90 days after ischemic stroke.Am Acad Neurol.2020;94(12):1249-1258. doi:10.1212/WNL.0000000000009135.
  • Shaheen M, Nguyen AA, Congly HH, Kaplan SE, Swain GG. Nationwide Estimates and Risk Factors of Hospital Readmission in Patients with Cirrhosis in the United States.Liver Int. 2019;39(5):878-884. doi:10.1111/liv.14054.
  • Zapatero J, Barba A, Marco R, et al. Predictive model of readmission to internal medicine wards. Eur J Intern Med. 2012;23(5):451-456. doi:10.1016/j.ejim.2012.01.005.
  • Franchi C, Nobili A, Mari D, et al. Risk factors for hospital readmission of elderly patients.Eur J Intern Med.2013;24(1):45-51. doi:10.1016/j.ejim.2012.10.005.
  • Tesfaye G, Peterson WH, Castelino B, et al. Medication-Related Factors and Hospital Readmission in Older Adults with Chronic Kidney Disease. J Clin Med.2019;8(395):1-12. doi:10.3390/jcm8030395.
  • Bilgili MR, Oncü MA. Evaluation of Geriatric Patients Presenting to the Emergency Department. Van Med J. 2021;28(1):77-83. doi:10.5505/vtd.2021.53179.
  • Martins M, Ribeiro Y, Silva H, Alves D. Readmission and infection-One year study at an internal medicine department. Eur J Intern Med.2013;24:255-256. doi:10.1016/j.ejim.2013.08.658.
  • Ministry of Health, Elderly Care Modules, TR Ministry of Health General Directorate of Basic Health Services. Ankara: 2011;38,57,208.https://hsgm.saglik.gov.tr/depo/birimler/kronik-hastaliklar-ve-yasli-sagligi.Accessed January 20,2024.
  • WHO, “Decade of Healthy Aging,” 2020. https://social.desa.un.org/sdn/decade-of-healthy-ageing-2021-2030.Accessed January 9,2023
  • Ministry of Health, Strategy and Budget Presidency, 11th Development Plan (2024-2028) https:// www. sbb.gov.tr/ kalkınma-planları. Accessed January 20,2024.

EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS

Year 2025, Volume: 34 Issue: 1, 86 - 92

Abstract

Patients admitted to internal clinics frequently present with one or more chronic diseases, which significantly elevates the risk of hospital readmission among patients aged 65 and above. Frequent readmissions have become a significant challenge for patients with chronic conditions admitted to internal medicine departments. The objective of this study was to ascertain the incidence of hospitalization within a 90-day period among patients aged 65 and above who had received inpatient healthcare services at an internal clinic within a training and research hospital. The study data comprises the records of patients aged 65 and over who were hospitalized in the internal clinics of the aforementioned hospital between 1 January 2021 and 31 December 2021. The mean age of the sample was 72.34±6.24 years, with 39.8% of the subjects being female and 60.2% male. The highest rate of readmission to the hospital was observed during the first spring period, with a rate of 31.40%. The mean length of stay for elderly individuals admitted to the hospital for readmission was 32.72 days. The rate of readmission within 90 days among geriatric patients hospitalized in internal clinics is 45.57%. It can be stated that one in every two geriatric individuals was readmitted to the hospital within the first three months following discharge. In this context, it is crucial to develop and implement effective policies to reduce hospital readmission rates. Among the indicators monitored within the scope of quality standards in health care, the rate of hospitalization within 30 days should be monitored as an indicator, and improvement studies should be initiated based on the results.

References

  • WHO, World Population Aging 2019, https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Report.pdf. Accessed February 4,2023.
  • Turkish StatiScal Institute (TSI), Old People with Statistics, 2021. https://www.tuik.gov.tr/.
  • Kilit A, Corporal TP, Akalın K. Evaluation of Geriatric Patients Treated in the Internal Medicine Clinic.Sakarya Med J.2021;11(3):507-515. doi:10.31832/smj.927899.
  • Kayabek S, Sivrikaya I.Geriatric Care in Primary Health Care Services and Problems That are Encountered.YOBU Faculty of Health Sciences Journal. 2021;2(3):141-147.https://dergipark.org.tr/tr/download/article-file/2272220.
  • Küçük H, Karadeniz U. Physiological, Mental, Social Changes in Aging and Precautions for Protection.EIRJl. 2021;14(2);96-103. doi:10.46414/yasad.877517 9.
  • Nalbant A, Varım A, Kaya C, Tamer T. Investigation of Diagnostic Distribution in General Internal Medicine Patients aged 65 and over who were hospitalized in the Internal Diseases Clinic. Sakarya Med J. 2013;3(4);181-185. doi:10.5505/sakaryamj.2013.31644
  • Ozbudak A, Şahin E. Care Addictions of Hospitalized Elderly Individuals, The Relationship Between.Journal of Inonu University Health Services Vocational School. 2021;9(1):307-322. doi:10.33715/inonusaglik.835942.
  • Singh I. Assessment and management of older people in the general hospital setting. In Challenges in Elder Care,Edward T, Zawada Jr. 2016; 37. E-book, https://www.intechopen.com/chapters/51670.
  • Wang S, Pridham A, Nisenbaum KF, Pedersen R, Brown C, Hwang R. Factors Associated with Readmission Among General Internal Medicine Patients Experiencing Homelessness.J Gen Intern Med. 2021;1944-1950. doi:10.1007/s11606-020-06483-w.
  • Aydan C, Arıkan S. Examination of Factors Affecting Length of Hospital Stay in OECD Countries.HJHA. 2021;24(1):127-138.https://dergipark.org.tr/tr/download/article-file/1660072.
  • NumanogluTekin S, Yilmaz R, İlter F, Malhan HK. Determination of Factors Affecting Length of Stay with Multinomial Logistic Regression in Turkey.Journal of the Social Security. 2016;5(10):74-94. https://dergipark.org.tr/tr/download/article-file/220985.
  • Cilla P, Sabione F, D'Amelio I. Risk Factors for Early Hospital Readmission in Geriatric Patients: A Systematic Review.Int J Environ pic Public Health.2023;20:674. doi:10.3390/ijerph20031674.
  • Fatima M, Shamim S, Raffat S, Tariq S. Hospital readmissions in Internal Medicine Specialty:Frequency, associated factors, and outcomes.Pak J Med Sci. 2021;37(7):2008-2013. doi:10.12669/pjms.37.7.3575.
  • Seker CA. The Role of Comprehensive Geriatric Assessment in Predicting In-Hospital Morbidity and Mortality in Hospitalized Elderly Patients, Hacettepe University, Department of Internal Medicine, 2021; Ankara. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp.
  • Froom J, Shimoni P, Benbassat Z. A simple index predicting 30-day readmissions in acutely hospitalized patients.J Eval Clin Pract. 2020;August:1-7. doi:10.1111/jep.13516.
  • Antalya population,https://www.nufusu.com/il/antalya-nufusu, Accessed Date:January 14, 2023.
  • Nall RW, Herndon B, Mramba, LK Pharmd, Vogel-Anderson K, Hagen MG. An Interprofessional Primary Care Based Transition of Care Clinic to Reduce Hospital Readmission. Am JMed. 2020;133(6). doi:10.1016/j.amjmed.2019.10.040.
  • Ben-chetrit G, Chen-shuali E, Zimran C, Munter E, Nesher G A. Simplified Scoring Tool for Prediction of Readmission in Elderly Patients Hospitalized in Internal Medicine Departments.IMAJ.2012;14(12):752-756.
  • Leppert S, Sillau MH, Lindrooth S, Poisson RC (2020) Relationship between early follow-up and readmission within 30 and 90 days after ischemic stroke.Am Acad Neurol.2020;94(12):1249-1258. doi:10.1212/WNL.0000000000009135.
  • Shaheen M, Nguyen AA, Congly HH, Kaplan SE, Swain GG. Nationwide Estimates and Risk Factors of Hospital Readmission in Patients with Cirrhosis in the United States.Liver Int. 2019;39(5):878-884. doi:10.1111/liv.14054.
  • Zapatero J, Barba A, Marco R, et al. Predictive model of readmission to internal medicine wards. Eur J Intern Med. 2012;23(5):451-456. doi:10.1016/j.ejim.2012.01.005.
  • Franchi C, Nobili A, Mari D, et al. Risk factors for hospital readmission of elderly patients.Eur J Intern Med.2013;24(1):45-51. doi:10.1016/j.ejim.2012.10.005.
  • Tesfaye G, Peterson WH, Castelino B, et al. Medication-Related Factors and Hospital Readmission in Older Adults with Chronic Kidney Disease. J Clin Med.2019;8(395):1-12. doi:10.3390/jcm8030395.
  • Bilgili MR, Oncü MA. Evaluation of Geriatric Patients Presenting to the Emergency Department. Van Med J. 2021;28(1):77-83. doi:10.5505/vtd.2021.53179.
  • Martins M, Ribeiro Y, Silva H, Alves D. Readmission and infection-One year study at an internal medicine department. Eur J Intern Med.2013;24:255-256. doi:10.1016/j.ejim.2013.08.658.
  • Ministry of Health, Elderly Care Modules, TR Ministry of Health General Directorate of Basic Health Services. Ankara: 2011;38,57,208.https://hsgm.saglik.gov.tr/depo/birimler/kronik-hastaliklar-ve-yasli-sagligi.Accessed January 20,2024.
  • WHO, “Decade of Healthy Aging,” 2020. https://social.desa.un.org/sdn/decade-of-healthy-ageing-2021-2030.Accessed January 9,2023
  • Ministry of Health, Strategy and Budget Presidency, 11th Development Plan (2024-2028) https:// www. sbb.gov.tr/ kalkınma-planları. Accessed January 20,2024.
There are 28 citations in total.

Details

Primary Language English
Subjects Health Management
Journal Section Research Article
Authors

Hatice Esen 0000-0003-1164-9086

Early Pub Date March 17, 2025
Publication Date
Submission Date January 3, 2024
Acceptance Date December 16, 2024
Published in Issue Year 2025 Volume: 34 Issue: 1

Cite

APA Esen, H. (2025). EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS. Sağlık Bilimleri Dergisi, 34(1), 86-92.
AMA Esen H. EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS. JHS. March 2025;34(1):86-92.
Chicago Esen, Hatice. “EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS”. Sağlık Bilimleri Dergisi 34, no. 1 (March 2025): 86-92.
EndNote Esen H (March 1, 2025) EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS. Sağlık Bilimleri Dergisi 34 1 86–92.
IEEE H. Esen, “EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS”, JHS, vol. 34, no. 1, pp. 86–92, 2025.
ISNAD Esen, Hatice. “EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS”. Sağlık Bilimleri Dergisi 34/1 (March 2025), 86-92.
JAMA Esen H. EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS. JHS. 2025;34:86–92.
MLA Esen, Hatice. “EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS”. Sağlık Bilimleri Dergisi, vol. 34, no. 1, 2025, pp. 86-92.
Vancouver Esen H. EVALUATION OF THE 90-DAY RE-ADMISSION RATE OF PATIENTS ADMITTED TO INTERNAL CLINICS. JHS. 2025;34(1):86-92.