Dokument: Prospektive Erhebung des Zeitaufwandes für Selbstmanagement im Zusammenhang mit Diabetes anhand eines generischen Tagebuchs

Titel:Prospektive Erhebung des Zeitaufwandes für Selbstmanagement im Zusammenhang mit Diabetes anhand eines generischen Tagebuchs
Weiterer Titel:Measuring the time cost of diabetes
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=61232
URN (NBN):urn:nbn:de:hbz:061-20221123-100020-0
Kollektion:Dissertationen
Sprache:Deutsch
Dokumententyp:Wissenschaftliche Abschlussarbeiten » Dissertation
Medientyp:Text
Autor: Mallmann, Florian Peter [Autor]
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Dateien vom 16.11.2022 / geändert 16.11.2022
Beitragende:Prof. Dr. med. Dr. PH Andrea Icks [Gutachter]
Prof. Dr. med. Stefan Wilm [Gutachter]
Dewey Dezimal-Klassifikation:600 Technik, Medizin, angewandte Wissenschaften » 610 Medizin und Gesundheit
Beschreibungen:Ca. 9% der über 18-jährigen Weltbevölkerung leiden unter der Erkrankung Diabetes
mellitus. Diese hohe Prävalenz geht mit einer hohen Krankheitslast für das
Gesundheitssystem einher. Die Zeit, welche die PatientInnen im Alltag für das
Selbstmanagement ihrer Erkrankung brauchen, wurde in der Vergangenheit bereits in
einigen Studien untersucht. Diesen ist gemeinsam, dass der Zeitaufwand für spezifische
diabetesrelevante Aktivitäten retrospektiv erhoben wurde. Die Ergebnisse dieser Studien
variieren zwischen 19 Minuten und 2-3 Stunden pro Tag. Ziel dieser Arbeit ist es, die
Durchführbarkeit der prospektiven Zeiterhebung für diabetesrelevante Aktivitäten
anhand eines generischen Tagebuches zu untersuchen. Dafür wurde die Methode der
Zeitverwendungserhebung des Statistischen Bundesamtes verwendet. Die
Teilnehmenden erhielten ein Tagebuch, das sie an drei hintereinander folgenden Tagen
führen sollten. Dieses teilte den Tag tabellarisch in Zeiteinheiten von zehn Minuten auf.
Zur Auswertung wurde die Kodierung der Zeitverwendungserhebung des Statistischen
Bundesamtes genutzt und um diabetesrelevante Aktivitätencodes erweitert. Zusätzlich
wurde ein Fragebogen zu Angaben wie Alter, Geschlecht, Beruf, sozioökonomischem
Status und Gesundheitsangaben ausgehändigt. 19 von 25 angesprochenen Teilnehmenden
führten das Tagebuch. Die Teilnehmenden hatten ein Durchschnittsalter von 61 Jahren.
17 der 19 eingereichten Tagebücher enthielten diabetesrelevante Aktivitäten. Die
Ergebnisse zeigen einen durchschnittlichen täglichen Zeitaufwand von 63,9 Minuten für
diabetesrelevante Aktivitäten. Alle Teilnehmenden gaben Insulininjektionen als Teil ihrer
Therapie an, nur 8 dokumentierten auch einen Zeitaufwand für diese Aktivität. Die
Messung des Blutzuckers wurde von 11 der 19 Teilnehmenden protokolliert und führte
zu einem durchschnittlichen Zeitaufwand von 27 Minuten pro Tag. Frauen investierten
ca. 50% mehr Zeit im Vergleich zu Männern in das Diabetes-Selbstmanagement, wobei
die HbA1c-Werte beider Geschlechter sich nicht signifikant unterschieden. Die
qualitative Analyse der Kommentare der Teilnehmenden zeigt, dass die Einteilung in 10-
Minuten-Einheiten für die Dokumentation von Aktivitäten wie bspw. Blutzuckermessung
zu lang ist. Zusammengefasst zeigen die Ergebnisse, dass die angewandte
prospektive Erhebungsmethode den Zeitaufwand für viele diabetesrelevante Aktivitäten
messen kann. Das Zeitintervall von zehn Minuten kann jedoch zu einer Fehleinschätzung
des Zeitaufwands führen. Insgesamt können aus den Ergebnissen dieser Studie wichtige
Erkenntnisse abgeleitet werden, die zu Verbesserungen für zukünftige Zeiterhebungen
führen.

About 9 % of the global population over 18 years suffer from diabetes mellitus. These
figures illustrate the relevance of this disease for the health care system.
The time required by patients to self-treat diabetes mellitus has already been investigated
in several studies. These have in common that they asked for specific activities related to
the disease and measured the time spent on diabetes retrospectively. The results of these
studies vary considerably, ranging from 19 minutes to 2-3 hours per day.
In this study we use a prospective design to examine, whether patients document the
diabetes-related activities and how much time they invested into these activities without
being asked for specific activities and their time requirements.
A diary to protocol three days was given out to the patients. It divides each of the three
days into units of ten minutes. In every unit the participants had to write down the
performed activities. A questionnaire was given out to collect information regarding age,
sex, employment-status, socioeconomic-status and health-status. 19 of 25 patients
completed and returned the logbook.
The participants had an average age of 61 years, 11 were employed and 8 retired. 17 of
the 19 returned diaries contained diabetes-related activities. The results indicate an
average time-use of 63,9 min/day for diabetes related activities. Although all participants
used insulin-application for diabetes-treatment, only 8 documented the time used for this
activity. Monitoring of blood-glucose was documented by 11 of the 19 patients with an
average time expenditure of 27 min per day. A comparison between female and male
participants shows, that although women invest approx. 50% more time in treating the
disease, the HbA1c-values do not differ significantly. A qualitative analysis of the
individual comments by the participants revealed, that units of ten minutes are too long
to document the regular diabetes-related activities like insulin-application or bloodglucose
monitoring.
In summary, the results proof that the method in its implemented form can measure the
time required for diabetes-related activities. The interval of ten minutes used for the diary
turned out to be too long, as proofed by the participant’s comments. Though, usage of 10-
minutes-intervals may also result in an overestimation of the time cost. However, based
on this study, proposals for the optimization of future studies could be derived.
Quelle:IDF Atlas 9th edition and other resources; 2020.
https://www.diabetesatlas.org/en/resources/ (accessed 26. Juni 2020).
2. American Diabetes Association. 1. Improving Care and Promoting Health in
Populations: Standards of Medical Care in Diabetes-2020. Diabetes care
2020;43:S7-S13.
3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National
Vital Statistics Reports 2019;68.
4. Jacobs E, Hoyer A, Brinks R, Kuss O, Rathmann W. Burden of Mortality
Attributable to Diagnosed Diabetes: A Nationwide Analysis Based on Claims Data
From 65 Million People in Germany. Diabetes care 2017;40:1703–1709.
5. Köster I, Schubert I, Huppertz E. Fortschreibung der KoDiM-Studie: Kosten des
Diabetes mellitus 2000-2009. Deutsche medizinische Wochenschrift (1946)
2012;137:1013–1016.
6. Jacobs E, Hoyer A, Brinks R, Icks A, Kuß O, Rathmann W. Healthcare costs of
Type 2 diabetes in Germany. Diabetic medicine : a journal of the British Diabetic
Association 2017;34:855–861.
7. Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of
chronic disease in primary care. JAMA 2002;288:2469–2475.
8. Grady PA, Gough LL. Self-management: a comprehensive approach to
management of chronic conditions. American journal of public health
2014;104:e25-31.
9. Barlow J, Wright C, Sheasby J, Turner A, Hainsworth J. Self-management
approaches for people with chronic conditions: a review. Patient Education and
Counseling 2002;48:177–187.
10. Chernyak N, Jülich F, Kasperidus J, Stephan A, Begun A, Kaltheuner M, et al.
Time cost of diabetes: Development of a questionnaire to assess time spent on
diabetes self-care. Journal of Diabetes and its Complications 2017;31:260–266.
11. Norris SL, Lau J, Smith SJ, Schmid CH, Engelgau MM. Self-Management
Education for Adults With Type 2 Diabetes. Diabetes care 2002;25:1159–1171.
77
12. Yen LE, McRae IS, Jowsey T, Bagheri N. Time spent on health related activity by
older Australians with diabetes. Journal of diabetes and metabolic disorders
2013;12:33.
13. Ettner SL, Cadwell BL, Russell LB, Brown A, Karter AJ, Safford M, et al.
Investing time in health: do socioeconomically disadvantaged patients spend more
or less extra time on diabetes self-care? Health Econ. 2009;18:645–663.
14. Safford MM, Russell L, Suh D-C, Roman S, Pogach L. How Much Time Do
Patients with Diabetes Spend on Self-Care? The Journal of the American Board of
Family Medicine 2005;18:262–270.
15. Icks A, Haastert B, Arend W, Konein J, Thorand B, Holle R, et al. Time spent on
self-management by people with diabetes: results from the population-based KORA
survey in Germany. Diabetic medicine : a journal of the British Diabetic
Association 2019;36:970–981.
16. Russell LB, Suh D-C, Safford MA. Time requirements for diabetes selfmanagement:
too much for many? The Journal of family practice 2005;54:52–56.
17. Juster FT, Stafford FP. The Allocation of Time: Empirical Findings, Behavioral
Models, and Problems of Measurement. Journal of Economic Literature
1991;29:471–522.
18. Bauman A, Bittman M, Gershuny J. A short history of time use research;
implications for public health. BMC public health 2019;19:1–7.
19. Statistisches Bundesamt. Wie die Zeit vergeht: Ergebnisse zur Zeitverwendung in
Deutschland 2012/2013;2015:1–30.
20. Poretsky L. Diabetes Mellitus A Concise clinical Guide. New York: Springer; 2012.
21. National Diabetes Data Group. Classification and Diagnosis of Diabetes Mellitus
and Other Categories of Glucose Intolerance. Diabetes 1979;28:1039–1057.
22. American Diabetes Association. Classification and Diagnosis of Diabetes Sec. 2.
Diabetes care 2017;40:S11-S24.
23. American Diabetes Association. 2. Classification and Diagnosis of Diabetes:
Standards of Medical Care in Diabetes. Diabetes care 2020;43:S14-S31.
78
24. Bluestone JA, Herold K, Eisenbarth G. Genetics, pathogenesis and clinical
interventions in type 1 diabetes. Nature 2010;464:1293–1300.
25. Leslie RD, Palmer J, Schloot NC, Lernmark A. Diabetes at the crossroads:
relevance of disease classification to pathophysiology and treatment. Diabetologia
2016;59:13–20.
26. Kerner W, Brückel J. Definition, classification and diagnosis of diabetes mellitus.
Exp Clin Endocrinol Diabetes 2014;122:384–386.
27. Nolan CJ, Damm P, Prentki M. Type 2 diabetes across generations: from
pathophysiology to prevention and management. The Lancet 2011;378:169–181.
28. Liu LL, Yi JP, Beyer J, Mayer-Davis EJ, Dolan LM, Dabelea DM, et al. Type 1 and
Type 2 diabetes in Asian and Pacific Islander U.S. youth: the SEARCH for
Diabetes in Youth Study. Diabetes care 2009;32 Suppl 2:S133-40.
29. Fazeli Farsani S, van der Aa MP, van der Vorst MMJ, Knibbe CAJ, Boer A de.
Global trends in the incidence and prevalence of type 2 diabetes in children and
adolescents: a systematic review and evaluation of methodological approaches.
Diabetologia 2013;56:1471–1488.
30. Riemer-Kafka G. Versicherungsmedizinische Gutachten: Ein interdisziplinärer
juristisch-medizinischer Leitfaden. Basel: Schwabe Verlag Basel; 2017.
31. Scholtens DM, Kuang A, Lowe LP, Hamilton J, Lawrence JM, Lebenthal Y, et al.
Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS):
Maternal Glycemia and Childhood Glucose Metabolism. Diabetes care
2019;42:381–392.
32. Moran A, Dunitz J, Nathan B, Saeed A, Holme B, Thomas W. Cystic Fibrosis–
Related Diabetes: Current Trends in Prevalence, Incidence, and Mortality. Diabetes
care 2009;32:1626–1631.
33. Hecking M, Werzowa J, Haidinger M, Hörl WH, Pascual J, Budde K, et al. Novel
views on new-onset diabetes after transplantation: development, prevention and
treatment. Nephrology, dialysis, transplantation 2013;28:550–566.
34. Kamrath C, Mönkemöller K, Biester T, Rohrer TR, Warncke K, Hammersen J, et
al. Ketoacidosis in Children and Adolescents With Newly Diagnosed Type 1
Diabetes During the COVID-19 Pandemic in Germany. JAMA 2020;324:801–804.
79
35. Herold G (ed). Innere Medizin 2015. Köln: Selbstverl.; 2015.
36. Deshpande AD, Harris-Hayes M, Schootman M. Epidemiology of Diabetes and
Diabetes-Related Complications. Physical therapy 2008;88.
37. Tuttolomondo A, Maida C, Pinto A. Diabetic foot syndrome as a possible
cardiovascular marker in diabetic patients. Journal of diabetes research 2015.
38. American Diabetes Association. 5. Facilitating Behavior Change and Well-being to
Improve Health Outcomes: Standards of Medical Care in Diabetes-2020. Diabetes
care 2020;43:S48-S65.
39. Funnell MM, Anderson RM. The problem with compliance in diabetes. JAMA
2000;284:1709.
40. American Diabetes Association. 6. Glycemic Targets: Standards of Medical Care in
Diabetes-2020. Diabetes care 2020;43:S66-S76.
41. American Diabetes Association. 9. Pharmacologic Approaches to Glycemic
Treatment: Standards of Medical Care in Diabetes-2020. Diabetes care
2020;43:S98-S110.
42. Lachin M. Mortality in Type 1 Diabetes in the DCCT/EDIC Versus the General
Population. Diabetes care 2016;39:1378–1383.
43. Buse JB, Wexler DJ, Tsapas A, Rossing P, Mingrone G, Mathieu C, et al. 2019
update to: Management of hyperglycaemia in type 2 diabetes, 2018. A consensus
report by the American Diabetes Association (ADA) and the European Association
for the Study of Diabetes (EASD). Diabetologia 2020;63:221–228.
44. Tönnies T, Röckl S, Hoyer A, Heidemann C, Baumert J, Du Y, et al. Projected
number of people with diagnosed Type 2 diabetes in Germany in 2040. Diabetic
medicine : a journal of the British Diabetic Association 2019;36:1217–1225.
45. Heidemann C, Du Y, Schubert I, Rathmann W, Scheidt-Nave C. Prävalenz und
zeitliche Entwicklung des bekannten Diabetes mellitus. Bundesgesundheitsblatt
2013;56:668–677.
46. Tamayo T, Brinks R, Hoyer A, Kuß OS, Rathmann W. The Prevalence and
Incidence of Diabetes in Germany. Deutsches Arzteblatt international
2016;113:177–182.
80
47. Magliano DJ, Islam RM, Barr ELM, Gregg EW, Pavkov ME, Harding JL, et al.
Trends in incidence of total or type 2 diabetes: systematic review. BMJ (Clinical
research ed.) 2019;366:l5003.
48. American Diabetes Association. Economic Costs of Diabetes in the U.S. in 2017.
Diabetes care 2018;41:917–928.
49. Ulrich S, Holle R, Wacker M, Stark R, Icks A, Thorand B, et al. Cost burden of
type 2 diabetes in Germany: results from the population-based KORA studies. BMJ
Open 2016;6:e012527.
50. Kähm K, Laxy M, Schneider U, Rogowski WH, Lhachimi SK, Holle R. Health
Care Costs Associated With Incident Complications in Patients With Type 2
Diabetes in Germany. Diabetes care 2018;41:971–978.
51. Bommer C, Heesemann E, Sagalova V, Manne-Goehler J, Atun R, Bärnighausen T,
et al. The global economic burden of diabetes in adults aged 20-79 years: a cost-ofillness
study. Essays on health and development 2018:25–38.
52. Seuring T, Archangelidi O, Suhrcke M. The Economic Costs of Type 2 Diabetes: A
Global Systematic Review. PharmacoEconomics 2015;33:811–831.
53. Dowrick C, Dixon-Woods M, Holman H, Weinman J. What is chronic illness?
Chronic Illness 2005;1:1–6.
54. Clark NM, Becker MH, Janz NK, Lorig K, Rakowski W, Anderson L. Self-
Management of Chronic Disease by Older Adults. J Aging Health 1991;3:3–27.
55. Wagner EH, Austin BT, Davis C, Hindmarsh M, Schaefer J, Bonomi A. Improving
chronic illness care: translating evidence into action. Health affairs (Project Hope)
2001;20:64–78.
56. Barlow JH, Sturt J, Hearnshaw H. Self-management interventions for people with
chronic conditions in primary care: Examples from arthritis, asthma and diabetes.
Health Education Journal 2002;61:365–378.
57. Swendeman D, Ingram BL, Rotheram-Borus MJ. Common elements in selfmanagement
of HIV and other chronic illnesses: an integrative framework. AIDS
care 2009;21:1321–1334.
81
58. Nakagawa-Kogan H, Garber A, Jarrett M, Egan KJ, Hendershot S. Selfmanagement
of hypertension: predictors of success in diastolic blood pressure
reduction. Research in nursing & health 1988;11:105–115.
59. Barlow J. How to use education as an intervention in osteoarthritis. Best practice &
research. Clinical rheumatology 2001;15:545–558.
60. Corbin J, Strauss A. Managing chronic illness at home: Three lines of work. Qual
Sociol 1985;8:224–247.
61. Lorig KR, Holman HR. Self-management education: History, definition, outcomes,
and mechanisms. Ann Behav Med 2003;26:1–7.
62. Haas L, Maryniuk M, Beck J, Cox CE, Duker P, Edwards L, et al. National
standards for diabetes self-management education and support. The Diabetes
educator 2012;38:619–629.
63. Mazzuca SA, Moorman NH, Wheeler ML, Norton JA, Fineberg NS, Vinicor F, et
al. The diabetes education study: a controlled trial of the effects of diabetes patient
education. Diabetes care 1986;9:1–10.
64. Gary TL, Genkinger JM, Guallar E, Peyrot M, Brancati FL. Meta-analysis of
randomized educational and behavioral interventions in type 2 diabetes. The
Diabetes educator 2003;29:488–501.
65. Deakin T, McShane CE, Cade JE, Williams RDRR. Group based training for selfmanagement
strategies in people with type 2 diabetes mellitus. The Cochrane
database of systematic reviews 2005:CD003417.
66. Funnell M, Jongen P, Lorig K, Ritter PL, Turner RM, English K, et al. Benefits of
Diabetes Self-Management for Health Plan Members: A 6-Month Translation
Study. Journal of medical Internet research 2016;18.
67. Jowsey T, Yen L, W PM. Time spent on health related activities associated with
chronic illness: a scoping literature review. BMC public health 2012;12:1044.
68. Russell LB. Completing costs: patients' time. Medical care 2009;47:S89-93.
69. Russell LB, Safford MM. The importance of recognizing patients' time as a cost of
self-management. The American journal of managed care 2008;14:395–396.
82
70. Funnell MM, Anderson RM. The Problem With Compliance in Diabetes. JAMA
2000;284:1709.
71. Lauterbach K, Stock S, Brunner H (eds). Gesundheitsökonomie: Lehrbuch für
Mediziner und andere Gesundheitsberufe. Lehrbuch Gesundheitswissenschaften.
Bern: Huber; 2009.
72. Icks A, Claessen H, Strassburger K, Waldeyer R, Chernyak N, Jülich F, et al.
Patient time costs attributable to healthcare use in diabetes: results from the
population-based KORA survey in Germany. Diabet. Med. 2013;30:1245–1249.
73. Sonnenberg B, Riediger M, Wrzus C, Wagner GG. Measuring Time Use in Surveys
– How valid are time use questions in surveys? Concordance of survey and
experience sampling measures. Soc Sci Res 2012;41:1037–1052.
74. Minnen J, Glorieux I, van Tienoven TP, Daniels S, Weenas D, Deyaert J, et al.
Modular Online Time Use Survey (MOTUS) – Translating an existing method in
the 21 st century. eIJTUR 2014;11:73–93.
75. Kan, MY, Pudney S. Measurement Error in Stylized and Diary Data on Time Use.
Sociological Methodology 2008;38:101–132.
76. Kitterød RH, Lyngstad TH. Diary versus questionnaire information on time spent
on housework – The case of Norway. electronic International Journal of Time Use
Research 2005;2:13–32.
77. Riediger M RA. Experience Sampling in Lifespan Developmental Methodology.
Oxford Research Encyclopedia of Psychology;2018.
78. Yen L, McRae IS, Jowsey T, Gillespie J, Dugdale P, Banfield M, et al. Health work
by older people with chronic illness: how much time does it take? Chronic Illness
2013;9:268–282.
79. Kamble S, Weinfurt KP, Schulman KA, Reed SD. Patient Time Costs Associated
with Sensor-Augmented Insulin Pump Therapy for Type 1 Diabetes. Med Decis
Making 2013;33:215–224.
80. Maier L. Methodik und Durchführung der Zeitverwendungserhebung 2012/2013.
WISTA – Wirtschaft und Statistik;2014:672–679.
83
81. Chatzitheochari S, Fisher K, Gilbert E, Calderwood L, Huskinson T,Cleary A, et al.
Using New Technologies for Time Diary Data Collection: Instrument Design and
Data Quality Findings from a Mixed-Mode Pilot Survey. Soc Indic Res
2018;137:379–390.
82. Fitzgerald JT, Anderson RM, Davis WK. Gender Differences in Diabetes Attitudes
and Adherence. The Diabetes educator 1995;21:523–529.
83. Verbrugge. Sex differentials in health. Public Health Rep 1982;97:417.
84. Kandrack M-A, Grant KR, Segall A. Gender differences in health related
behaviour: Some unanswered questions. Social Science & Medicine 1991;32:579–
590.
85. Hibbard JH, Pope CR. Gender roles, illness orientation and use of medical services.
Social Science & Medicine 1983;17:129–137.
86. McEwen LN, Kim C, Ettner SL, Herman WH, Karter AJ, Beckles GL, Brown AF.
Competing Demands for Time and Self-Care Behaviors, Processes of Care, and
Intermediate Outcomes Among People With Diabetes. Diabetes care
2011;34:1180–1182.
87. Gallant MP. The influence of social support on chronic illness self-management: a
review and directions for research. Health education & behavior 2003;30:170–195.
88. Whittemore R, D'Eramo MG, Grey M. Metabolic control, self-management and
psychosocial adjustment in women with type 2 diabetes. Journal of clinical nursing
2005;14.
89. Miller TA, DiMatteo MR. Importance of family/social support and impact on
adherence to diabetic therapy. Diabetes, Metabolic Syndrome and Obesity: Targets
and Therapy 2013;6:421–426.
90. Tang TS, Brown MB, Funnell MM, Anderson RM. Social support, quality of life,
and self-care behaviors among African Americans with type 2 diabetes. The
Diabetes educator 2008;34:266–276.
91. Chrvala CA, Sherr D, Lipman RD. Diabetes self-management education for adults
with type 2 diabetes mellitus: A systematic review of the effect on glycemic control.
Patient Education and Counseling 2016;99:926–943.
84
92. Jutterström L, Hörnsten Å, Sandström H, Stenlund H, Isaksson U. Nurse-led
patient-centered self-management support improves HbA1c in patients with type 2
diabetes-A randomized study. Patient Education and Counseling 2016;99:1821–
1829.
93. Azami G, Soh KL, Sazlina SG, Salmiah MS, Aazami S, Mozafari M, et al. Effect of
a Nurse-Led Diabetes Self-Management Education Program on Glycosylated
Hemoglobin among Adults with Type 2 Diabetes. Journal of diabetes research
2018;2018:4930157.
94. Pani LN, Nathan DM, Grant RW. Clinical predictors of disease progression and
medication initiation in untreated patients with type 2 diabetes and A1C less than
7%. Diabetes care 2008;31:386–390.
95. Sloan FA, Padrón NA, Platt AC. Preferences, beliefs, and self-management of
diabetes. Health services research 2009;44:1068–1087.
96. Heckman JJ. Selection Bias and Self-selection. In: Eatwell J, Milgate M, Newman
PK (eds). Econometrics. The New Palgrave. London: Macmillian reference books;
1990:201–224.
97. Hendriks M, Ludwigs K, Veenhoven R. Why are Locals Happier than Internal
Migrants? The Role of Daily Life. Soc Indic Res 2016;125:481–508.
98. Fernee, H, Sonck, N. Measuring smarter: Time use data collected by smartphones.
eIJTUR 2014;11:94–96.
99. Fisher K, Chatzitheochari S, Gilbert E, Calderwood L. A Mixed-mode Approach to
Measuring Young People's Time Use in the Millennium Cohort Study. electronic
International Journal of Time Use Research 2015:174–180.
100. Steinert A, Haesner M, Steinhagen-Thiessen E. App-basiertes Selbstmonitoring
bei Typ-2-Diabetes. Zeitschrift fur Gerontologie und Geriatrie 2017;50:516–523.
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