Quellen für die medizinischen Inhalte und Verfahren in der DiGA

  • Bundesärztekammer (BÄK), Kassenärztliche Bundesvereinigung (KBV), Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF) Herzschwäche Patientenleitlinie zur Nationalen VersorgungsLeitlinie [Internet]. 2020 [cited 2021 August 31]. available from: https://www.herzinsuffizienz.versorgungsleitlinien.de. DOI: 10.6101/AZQ/000471.
  • Bundesärztekammer (BÄK) Arbeitsgemeinschaft der Deutschen Ärztekammern; Kassenärztliche Bundesvereinigung (KBV); Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF) Nationale VersorgungsLeitlinie Chronische Herzinsuffizienz [Internet]. 2019 [cited 2021 August 31]. Available from: https://www.herzinsuffizienz.versorgungsleitlinien.de. DOI: 10.6101/AZQ/000467.
  • Boczor S, Daubmann A, Eisele M, Blozik E, Scherer M. Quality of life assessment in patients with heart failure: validity of the German version of the generic EQ-5D-5L™. BMC public health. 2019; 1464. DOI: 10.1186/s12889-019-7623-2.
  • Comín-Colet J, Garin O, Lupón J, Manito N, Crespo-Leiro MG, Gómez-Bueno M. et al. Validation of the Spanish version of the Kansas city cardiomyopathy questionnaire. Revista espanola de cardiologia. 2011; 51–58. DOI: 10.1016/j.recesp.2010.10.003.
  • Flint KM, Fairclough DL, Spertus JA, Bekelman DB. Does heart failure-specific health status identify patients with bothersome symptoms, depression, anxiety, and/or poorer spiritual well-being?. European heart journal. Quality of care & clinical outcomes. 2019; 233–241. DOI: 10.1093/ehjqcco/qcy061.
  • Mensink A, Uil S, Kuipers B. Berlin questionnaire and Epworth sleepiness scale, useful screening instruments for obstructive sleep apnea syndrome? European Respiratory Journal. 2011; 38: 3246.
  • Spertus JA, Jones PG, Kim J, Globe D. Validity, reliability, and responsiveness of the Kansas City Cardiomyopathy Questionnaire in anemic heart failure patients. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2008; 2: 291–298. DOI: 10.1007/s11136-007-9302-5.
  • Von Glischinski M, von Brachel R, Hirschfeld G. How depressed is „depressed“? A systematic review and diagnostic meta-analysis of optimal cut points for the Beck Depression Inventory revised (BDI-II). Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2019; 28: 1111-1118. DOI: 0.1007/s11136-018-2050-x.
  • Wang Y-P, Gorenstein C. Psychometric properties of the Beck Depression Inventory-II: a comprehensive review. Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999). 2013; 4: 416–431. DOI: 10.1590/1516-4446-2012-1048.
  • Winther Topp C, Østergaard SD, Søndergaard S, Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. 2015. DOI: 10.1159/000376585.
  • Whooley MA, Avins AL, Miranda J, Browner WS. Case-finding instruments for depression. Two questions are as good as many. Journal of general internal medicine. 1997; 7: 439–445. DOI: 10.1046/j.1525-1497.1997.00076.x.
  • Arrieta J, Aguerrebere M, Raviola G, Flores H, Elliott P, Espinosa A et al. Validity and Utility of the Patient Health Questionnaire (PHQ)-2 and PHQ-9 for Screening and Diagnosis of Depression in Rural Chiapas, Mexico: A Cross-Sectional Study. Journal of clinical psychology. 2017; 9: 1076–1090. DOI: 10.1002/jclp.22390.

Fachliche Inhalte und relevante Studien

  • Antwerpes Dr F, Ostendorf Dr med N. Body Mass Index. 2017 [cited 2021 August 31]. In: Flexikon doccheck [Internet]. Köln: DocCheck Community GmbH. Available from: https://flexikon.doccheck.com/de/Body_Mass_Index?utm_source=www.doccheck.flexikon&utm_medium=web&utm_campaign=DC%2BSearch.
  • Aune D, Sen A, Norat T, Janszky I, Romundstad P, Tonstad S, Vatten L. Body Mass Index, Abdominal Fatness, and Heart Failure Incidence and Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Circulation. 2016; 7: 639–649. DOI: 10.1161/CIRCULATIONAHA.115.016801.
  • Bennett JA, Riegel B, Bittner V, Nichols J. Validity and reliability of the NYHA classes for measuring research outcomes in patients with cardiac disease. Heart & lung : the journal of critical care. 2002; 4: 262–270. DOI: 10.1067/mhl.2002.124554.
  • Bock R, van den Noortgate N, Piers R. Validation of the Supportive and Palliative Care Indicators Tool in a Geriatric Population. Journal of palliative medicine. 2018; 2: 220–224. DOI: 10.1089/jpm.2017.0205.
  • Fachado AA, Martínez NS, Roselló MM, Rial JJV, Oliver EB, García RG. et al. Spanish adaptation and validation of the supportive & palliative care indicators tool – SPICT-ESTM. Revista de saude publica. 2018; 3. DOI: 10.11606/s1518-8787.2018052000398.
  • Fonseca H, Silva AM, Matos MG, Esteves I, Costa P, Guerra A, Gomes-Pedro J. Validity of BMI based on self-reported weight and height in adolescents. Acta paediatrica (Oslo, Norway : 1992). 2010; 83–88. DOI: 10.1111/j.1651-2227.2009.01518.x.
  • García-Olmos L, Aguilar R, Lora D, Carmona M, Alberquilla A, García-Caballero R, Sánchez-Gómez L. Development of a predictive model of hospitalization in primary care patients with heart failure. PloS one. 2019;(8). DOI: 10.1371/journal.pone.0221434.
  • Herold G. Innere Medizin; 2020. ISBN: 978-3-9821166-1-7.
  • Highet G, Crawford D, Murray SA, Boyd K. Development and evaluation of the Supportive and Palliative Care Indicators Tool (SPICT): a mixed-methods study. BMJ supportive & palliative care. 2014; 3: 285–290. DOI: 10.1136/bmjspcare-2013-000488.
  • Hircin E. Glomeruläre Filtrationsrate. 2021 [cited 2021 August 31st]. In: Flexikon doccheck [Internet]. Köln: DocCheck Community GmbH. Available from: https://flexikon.doccheck.com/de/Glomerul%C3%A4re_Filtrationsrate.
  • Horton DJ, Graves KK, Kukhareva PV, Johnson SA, Cedillo M, Sanford M et al. Modified early warning score-based clinical decision support: cost impact and clinical outcomes in sepsis. JAMIA open. 2020; 2: 261–268. DOI: 10.1093/jamiaopen/ooaa014.
  • Koehler F, Koehler K, Deckwart O, Prescher S, Wegscheider K, Kirwan B-A et al. Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial. The Lancet. 2018; 392 (10152): 1047–1057. DOI: 10.1016/S0140-6736(18)31880-4.
  • Krittanawong C, Tunhasiriwet A, Wang Z, Zhang H, Prokop LJ, Chirapongsathorn S et al. Meta-Analysis Comparing Frequency of Overweight Versus Normal Weight in Patients With New-Onset Heart Failure. The American journal of cardiology. 2018; 7: 836–843. DOI: 10.1016/j.amjcard.2017.12.021.
  • Lane DJ, Wunsch H, Saskin R, Cheskes S, Lin S, Morrison LJ, Scales DC. Assessing Severity of Illness in Patients Transported to Hospital by Paramedics: External Validation of 3 Prognostic Scores. Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors. 2020; 2: 273–281. DOI: 10.1080/10903127.2019.1632998.
  • Okello S, Abeya FC, Lumori BAE, Akello SJ, Moore CC, Annex BH, Buda AJ. Validation of heart failure quality of life tool and usage to predict all-cause mortality in acute heart failure in Uganda: the Mbarara heart failure registry (MAHFER). BMC cardiovascular disorders. 2018; 232.DOI: 10.1186/s12872-018-0959-1.
  • Pham L, Arnby M, Benkel I, Dahlqvist Jonsson P, Källstrand J, Molander U, Ziegert K. Early integration of palliative care: translation, cross-cultural adaptation and content validity of the Supportive and Palliative Care Indicators Tool in a Swedish healthcare context. Scandinavian journal of caring sciences. 2020; 3: 762–771. DOI: 10.1111/scs.12781.
  • Sharma A, Lavie CJ, Borer JS, Vallakati A, Goel S, Lopez-Jimenez F et al. Meta-analysis of the relation of body mass index to all-cause and cardiovascular mortality and hospitalization in patients with chronic heart failure. The American journal of cardiology. 2015; 10: 1428–1434. DOI: 10.1016/j.amjcard.2015.02.024.