Research Article
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Activity Level and Quality of Life of Patients with Chronic Obstructive Pulmonary Disease

Year 2023, Volume: 16 Issue: 1, 39 - 50, 15.01.2023
https://doi.org/10.46483/deuhfed.921252

Abstract

Backround: It is known that effective symptom management of chronic obstructive pulmonary patients can be achieved with an active patient participating in their own care.


Objective:
To determine the activity level, the factors affecting the activity and the relationship between the activity level and quality of life in patients with chronic obstructive pulmonary disease (COPD).



Methods:
This descriptive, cross-sectional and relational study was conducted in 120 patients with COPD between November 2019 and March 2020 in a chest diseases clinic of a university hospital. Data were collected using the Patient Identification Form, COPD Assessment Test, Patient Activation Measure (PAM), St. George’s Respiratory Questionnaire for quality of life. Descriptive statistics, Pearson correlation and regression analysis were used to evaluate the data.



Results:
Individuals had PAM score a mean of 67.05 ± 14.69, CAT score mean of 22.33 ± 7.48, SGRQ symptom score mean of 55.80 ± 20.23, SGRQ activity score mean of 74.78 ± 21.59, SGRQ effect score mean of 49.78 ± 21.30, and SGRQ total score mean of 58.35 ± 20.00. It was found statistically significant and negative correlation between PAM and CAT (r = -.415; p = .01), statistically significant and negative correlation between PAM and SGRQ total score (r = -.529; p = .01), between CAT and SGRQ total score a statistically significant and positive correlation (r = 0.846; p = .01). PAM level decreases as CAT and age increase (R2 = .247). PAM level decreases as SGRQ total score and age increase (R2 = .329).



Conclusion:
The activity level was found to be high in patients with COPD. As the patient’s activity level increases, the quality of life increases. Age, education level, income status, employment status, duration of illness, COPD stage, annual number of hospitalizations, annual attacks, COPD status and quality of life are factors affecting patient activity. As the patient’s activity level increases, the quality of life increases.

References

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  • Aydın Avcı, İ., Kumcağız, H. (2019). Hemşirelerde Danışmanlık Becerileri Ölçeği’ni (HDBÖ) Geliştirilmesi: Geçerlik ve Güvenirlik Çalışması. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 20, 873–884. https://doi.org/10.17494/ogusbd.554949
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  • Bos-Touwen, I., Schuurmans, M., Monninkhof, E. M., Korpershoek, Y., Spruit-Bentvelzen, L., Ertugrul van der Graaf, I., de Wit, N., Trappenburg, J. (2015). Patient and Disease Characteristics Associated with Activation for Self-Management in Patients with Diabetes, Chronic Obstructive Pulmonary Disease, Chronic Heart Failure and Chronic Renal Disease: A Cross-Sectional Survey Study. PLOS ONE, 10(5), e0126400. https://doi.org/10.1371/journal.pone.0126400
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  • Hibbard, J. H., Greene, J. (2013b). What The Evidence Shows About Patient Activation: Better Health Outcomes And Care Experiences; Fewer Data On Costs. Health Affairs, 32(2), 207–214. https://doi.org/10.1377/hlthaff.2012.1061
  • Hibbard, J. H., Greene, J., Becker, E. R., Roblin, D., Painter, M. W., Perez, D. J., … Burbank-Schmitt, E. (2008). Racial/Ethnic Disparities And Consumer Activation In Health. Health Affairs, 27(5), 1442–1453. https://doi.org/10.1377/hlthaff.27.5.1442
  • Hibbard, J. H., Greene, J., Shi, Y., Mittler, J., Scanlon, D. (2015). Taking the Long View: How Well Do Patient Activation Scores Predict Outcomes Four Years Later? Medical Care Research and Review, 72(3), 324–337.https://doi.org/10.1177/1077558715573871
  • Hibbard, J. H., Mahoney, E. R., Stockard, J., Tusler, M. (2005). Development and Testing of a Short Form of the Patient Activation Measure. Health Services Research, 40(6p1), 1918–1930. https://doi.org/10.1111/j.1475-6773.2005.00438.x
  • Hibbard, J. H., Stockard, J., Mahoney, E. R., Tusler, M. (2004). Development of the Patient Activation Measure (PAM): Conceptualizing and Measuring Activation in Patients and Consumers. Health Services Research, 39(4p1), 1005–1026. https://doi.org/10.1111/j.1475-6773.2004.00269.x
  • Jones, P. W., Harding, G., Berry, P., Wiklund, I., Chen, W. H., Kline Leidy, N. (2009). Development and first validation of the COPD Assessment Test. European Respiratory Journal, 34(3), 648–654. https://doi.org/10.1183/09031936.00102509
  • Jones, P. W., Quirk, F. H., Baveystock, C. M. (1991). The St George’s Respiratory Questionnaire. Respiratory Medicine, 85, 25–31. https://doi.org/10.1016/S0954-6111(06)80166-6
  • Korpershoek, Y., Bos-Touwen, I., de Man - Van Ginkel, J. M., Lammers, J.-W., Schuurmans, M. J., Trappenburg, J. (2016). Determinants of activation for self-management in patients with COPD. International Journal of Chronic Obstructive Pulmonary Disease, Volume 11(1), 1757–1766. https://doi.org/10.2147/COPD.S109016
  • Kosar, C., Besen, D. B. (2019). Adaptation of a patient activatıon measure (PAM) into Turkish: reliability and validity test. African Health Sciences, 19(1), 1811. https://doi.org/10.4314/ahs.v19i1.58
  • Koşar, C., Büyükkaya Besen, D. (2015). Kronik Hastalıklarda Hasta Aktifliği: Kavram Analizi. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi, 8(1), 45–51.
  • Koşar, C., Pakyüz, S. Ç., Çaydam, Ö. D. (2018). Hemodiyaliz Tedavisi Alan Hastaların Sıvı Kısıtlamasına Uyumları ve Hasta Aktifliği Arasındaki İlişkinin Değerlendirilmesi. Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi, 2(3), 126–137.
  • Magnezi, R., Glasser, S., Shalev, H., Sheiber, A., Reuveni, H. (2014). Patient activation, depression and quality of life. Patient Education and Counseling, 94(3), 432–437. https://doi.org/10.1016/j.pec.2013.10.015
  • Mccabe, P. J., Stuart-mullen, L. G., Mcleod, C. J., Byrne, T. O., Schmidt, M. M., Branda, M. E., Griffin, J. M. (2018). Patient activation for self-management is associated with health status in patients with atrial fibrillation. 1907–1916.
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Kronik Obstrüktif Akciğer Hastalığı Olan Hastaların Aktiflik Düzeyi ve Yaşam Kalitesi

Year 2023, Volume: 16 Issue: 1, 39 - 50, 15.01.2023
https://doi.org/10.46483/deuhfed.921252

Abstract

Giriş: Kronik obstrüktif akciğer hastalarının etkili semptom yönetiminin, kendi bakımına katılan, aktif bir hasta ile sağlanabileceği bilinmektedir.



Amaç:
Kronik obstrüktif akciğer hastalığı (KOAH) olan hastalarda aktiflik düzeyini, aktifliği etkileyen faktörleri ve aktiflik düzeyi ile yaşam kalitesi arasındaki ilişkiyi belirlemektir.



Yöntem:
Tanımlayıcı, kesitsel ve ilişkisel tipte olan bu araştırma Kasım 2019- Mart 2020 tarihleri arasında bir üniversite hastanesinin göğüs hastalıkları polikliniğinde 120 KOAH’lı hasta gerçekleştirilmiştir. Veriler Hasta Tanıtım Formu, KOAH Değerlendirme Testi (CAT), Hasta Aktiflik Düzeyi Ölçeği (HADÖ) ve yaşam kalitesi için St. George Solunum Anketi (SGRQ) kullanılarak toplanmıştır. Verilerin değerlendirilmesinde tanımlayıcı istatistikler, Pearson korelasyon ve regresyon analizi kullanılmıştır.


Bulgular:
Bireylerin, HADÖ puan ortalaması 67.05 ± 14.69, CAT puan ortalaması 22.33 ± 7.48, SGRQ semptom puan ortalaması 55.80 ± 20.23, SGRQ aktivite puan ortalaması 74.78 ± 21.59, SGRQ etki puan ortalaması 49.78 ± 21.30, SGRQ toplam puan ortalaması 58.35 ± 20.0 olarak bulunmuştur. HADÖ ile CAT arasında istatistiksel olarak anlamlı ve negatif yönlü (r = -.415; p = .01), HADÖ ile SGRQ toplam puan arasında istatistiksel olarak anlamlı ve negatif yönlü (r = -.529; p = .01), CAT ile SGRQ toplam puan arasında istatistiksel olarak anlamlı ve pozitif yönlü (r = .846; p = .01) ilişki vardır. CAT ve yaş arttıkça HADÖ düzeyi düşmektedir (R2 = .247). SGRQ toplam puan ve yaş arttıkça HADÖ düzeyi düşmektedir (R2 = .329).



Sonuç:
KOAH’lı hastalarda aktiflik düzeyi yüksek bulunmuştur. Hasta aktifliğini etkileyen faktörler yaş, eğitim düzeyi, gelir durumu, çalışma durumu, hastalık süresi, KOAH evresi, yıllık hastane yatış sayısı, yıllık atak, KOAH durumu ve yaşam kalitesidir. Hasta aktiflik düzeyi arttıkça yaşam kalitesi artmaktadır.

References

  • AuYoung, M., Ponce, N. A., Duru, O. K., Bustamante, A. V., Mangione, C. M., Rodriguez, H. P. (2016).Patient Activation is Inconsistently Associated with Positive Health Behaviors Among Obese Safety Net Patients. Journal of Immigrant and Minority Health, 18(6), 1489–1497. https://doi.org/10.1007/s10903-015-0285-y
  • Aydın Avcı, İ., Kumcağız, H. (2019). Hemşirelerde Danışmanlık Becerileri Ölçeği’ni (HDBÖ) Geliştirilmesi: Geçerlik ve Güvenirlik Çalışması. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 20, 873–884. https://doi.org/10.17494/ogusbd.554949
  • Bahrom, N. H., Ramli, A. S., Isa, M. R., Abdul Hamid, H., Badlishah-Sham, S. F., Baharudin, N., Mohamed-Yassin, M. S. (2020). Factors Associated with High Patient Activation Level among Individuals with Metabolic Syndrome at a Primary Care Teaching Clinic. Journal of Primary Care and Community Health, 11, 1–13. https://doi.org/10.1177/2150132720931301/ASSET/IMAGES/LARGE/10.1177_2150132720931301-FIG2.JPEG
  • Bos-Touwen, I., Schuurmans, M., Monninkhof, E. M., Korpershoek, Y., Spruit-Bentvelzen, L., Ertugrul van der Graaf, I., de Wit, N., Trappenburg, J. (2015). Patient and Disease Characteristics Associated with Activation for Self-Management in Patients with Diabetes, Chronic Obstructive Pulmonary Disease, Chronic Heart Failure and Chronic Renal Disease: A Cross-Sectional Survey Study. PLOS ONE, 10(5), e0126400. https://doi.org/10.1371/journal.pone.0126400
  • Brandsma, C. A., de Vries, M., Costa, R., Woldhuis, R. R., Königshoff, M., Timens, W. (2017). Lung ageing and COPD: Is there a role for ageing in abnormal tissue repair? European Respiratory Review, 26(146), 1–15. https://doi.org/10.1183/16000617.0073-2017
  • Do, V., Young, L., Barnason, S., Tran, H. (2015). Relationships between activation level, knowledge, self-efficacy, and self-management behavior in heart failure patients discharged from rural hospitals. F1000Research, 4(0), 150. https://doi.org/10.12688/f1000research.6557.1
  • DSÖ. (2020). Chronic obstructive pulmonary disease (COPD). 06 Eylül 2020 tarihinde, https://www.who.int/news-room/fact-sheets/detail/chronic obstructive-pulmonary-disease-(copd) adresinden erişildi.
  • Dunlay, S. M., Griffin, J. M., Redfield, M. M., Roger, V. L. (2017). Patient Activation in Acute ecompensated Heart Failure. Journal of Cardiovascular Nursing, 32(6), 560–567. https://doi.org/10.1097/JCN.0000000000000367
  • Erskine, N. A., Gandek, B., Waring, M. E., Kinney, R. L., Lessard, D. M., Devereaux, R. S., Chrysanthopoulou, S. A., Kiefe, C. I., Goldberg, R. J. (2018). Survivors of an Acute Coronary Syndromewith Lower Patient Activation Are More Likely to Experience Declines in Health-Related Quality of Life.Journal of Cardiovascular Nursing, 33(2), 168–178.https://doi.org/10.1097/JCN.0000000000000429
  • Global Initiative for Chronic Obstructive Lung Disease. (2020). 06 Eylül 2020 tarihinde Global Strategy for the Diognosis, Management, and Prevention of Chronic Obsructive Pulmonary Disease. https://goldcopd.org/wp-content/uploads/2019/11/GOLD-2020-REPORT-ver1.1wms.pdf adresinden erişildi.
  • Greene, J., Hibbard, J. H., Sacks, R., Overton, V., Parrotta, C. D. (2015). When Patient Activation Levels Change, Health Outcomes And Costs Change, Too. Health Affairs, 34(3), 431–437. https://doi.org/10.1377/hlthaff.2014.0452
  • Gregersen, T. L., Green, A., Frausing, E., Ringbæk, T., Brøndum, E., Ulrik, C. S. (2016). Do telemedical interventions improve quality of life in patients with COPD? A systematic review. International Journal of Chronic Obstructive Pulmonary Disease, 11(1), 809. https://doi.org/10.2147/COPD.S96079
  • Hellström, A., Kassaye Tessma, M., Flink, M., Dahlgren, A., Schildmeijer, K., Ekstedt, M. (2019). Validation of the patient activation measure in patients at discharge from hospitals and at distance from hospital care in Sweden. BMC Public Health, 19(1), 1701. https://doi.org/10.1186/s12889-019-8025-1
  • Hibbard, J. H., Greene, J. (2013a). What the evidence shows about patient activation: Better health outcomes and care experiences; fewer data on costs. Health Affairs, 32(2), 207–214. https://doi.org/10.1377/hlthaff.2012.1061
  • Hibbard, J. H., Greene, J. (2013b). What The Evidence Shows About Patient Activation: Better Health Outcomes And Care Experiences; Fewer Data On Costs. Health Affairs, 32(2), 207–214. https://doi.org/10.1377/hlthaff.2012.1061
  • Hibbard, J. H., Greene, J., Becker, E. R., Roblin, D., Painter, M. W., Perez, D. J., … Burbank-Schmitt, E. (2008). Racial/Ethnic Disparities And Consumer Activation In Health. Health Affairs, 27(5), 1442–1453. https://doi.org/10.1377/hlthaff.27.5.1442
  • Hibbard, J. H., Greene, J., Shi, Y., Mittler, J., Scanlon, D. (2015). Taking the Long View: How Well Do Patient Activation Scores Predict Outcomes Four Years Later? Medical Care Research and Review, 72(3), 324–337.https://doi.org/10.1177/1077558715573871
  • Hibbard, J. H., Mahoney, E. R., Stockard, J., Tusler, M. (2005). Development and Testing of a Short Form of the Patient Activation Measure. Health Services Research, 40(6p1), 1918–1930. https://doi.org/10.1111/j.1475-6773.2005.00438.x
  • Hibbard, J. H., Stockard, J., Mahoney, E. R., Tusler, M. (2004). Development of the Patient Activation Measure (PAM): Conceptualizing and Measuring Activation in Patients and Consumers. Health Services Research, 39(4p1), 1005–1026. https://doi.org/10.1111/j.1475-6773.2004.00269.x
  • Jones, P. W., Harding, G., Berry, P., Wiklund, I., Chen, W. H., Kline Leidy, N. (2009). Development and first validation of the COPD Assessment Test. European Respiratory Journal, 34(3), 648–654. https://doi.org/10.1183/09031936.00102509
  • Jones, P. W., Quirk, F. H., Baveystock, C. M. (1991). The St George’s Respiratory Questionnaire. Respiratory Medicine, 85, 25–31. https://doi.org/10.1016/S0954-6111(06)80166-6
  • Korpershoek, Y., Bos-Touwen, I., de Man - Van Ginkel, J. M., Lammers, J.-W., Schuurmans, M. J., Trappenburg, J. (2016). Determinants of activation for self-management in patients with COPD. International Journal of Chronic Obstructive Pulmonary Disease, Volume 11(1), 1757–1766. https://doi.org/10.2147/COPD.S109016
  • Kosar, C., Besen, D. B. (2019). Adaptation of a patient activatıon measure (PAM) into Turkish: reliability and validity test. African Health Sciences, 19(1), 1811. https://doi.org/10.4314/ahs.v19i1.58
  • Koşar, C., Büyükkaya Besen, D. (2015). Kronik Hastalıklarda Hasta Aktifliği: Kavram Analizi. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi, 8(1), 45–51.
  • Koşar, C., Pakyüz, S. Ç., Çaydam, Ö. D. (2018). Hemodiyaliz Tedavisi Alan Hastaların Sıvı Kısıtlamasına Uyumları ve Hasta Aktifliği Arasındaki İlişkinin Değerlendirilmesi. Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi, 2(3), 126–137.
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There are 43 citations in total.

Details

Primary Language Turkish
Subjects Nursing
Journal Section Research Articles
Authors

Adile Ay 0000-0003-0278-4841

Nazmiye Çıray 0000-0003-1640-9815

Publication Date January 15, 2023
Published in Issue Year 2023 Volume: 16 Issue: 1

Cite

APA Ay, A., & Çıray, N. (2023). Kronik Obstrüktif Akciğer Hastalığı Olan Hastaların Aktiflik Düzeyi ve Yaşam Kalitesi. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi, 16(1), 39-50. https://doi.org/10.46483/deuhfed.921252

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