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- 12-10-22 - 6 Formulieren, 1 Itemgroep, 4 Data-elementen, 1 Taal
Itemgroep: pht002612
Principal Investigator: David Weir, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Aging,Neoplasms,Arthritis,Lung Diseases, Obstructive,Dementia,Heart Diseases,Heart Failure,Hypertension,Myocardial Infarction,Diabetes Mellitus,Hypercholesterolemia,Obesity,Body Weight,Mobility Limitation,Pain,Cholesterol,Hemoglobin A, Glycosylated,C-Reactive Protein,Cystatin C,Depression,Alcohol Drinking,Smoking,Personality,Life Style,Cognition,Demography,Ethnic Groups,Health Status,Population Groups,Housing,Independent Living,Socioeconomic Factors,Career Mobility,Educational Status,Employment,Family Characteristics,Income,Occupations,Poverty,Social Change,Social Class,Social Conditions,Risk Factors https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000428 *Introduction to V2: *This data release comprises data from the V1 release combined with approximately 3,000 additional samples, collected during the HRS 2010 field period. The 2010 data include samples from a random half of the new cohort enrolled in 2010 along with a significant expansion of the minority sample. *Description:* The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America over the age of 50 every two years. Supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration, the HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study collects information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. Through its unique and in-depth interviews, the HRS provides an invaluable and growing body of multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. Because of its innovation and importance, the HRS has become the model and hub for a growing network of harmonized longitudinal aging studies around the world. *Origins of the HRS.* As the population ages it is increasingly important to obtain reliable data about aging and topics that are relevant to a range of policy issues in aging. To address this need, the National Institutes on Aging (NIA) established a cooperative agreement with the University of Michigan Institute for Social Research to collect such data. The HRS launched data collection in 1992 and has re-interviewed the original sample of respondents every two years since then. By adding new cohorts and refreshing the sample, the HRS has grown to become the largest, most representative longitudinal panel study of Americans 50 years and older. *HRS Study Design.* The target population for the original HRS cohort includes all adults in the contiguous United States born during the years 1931-1941 who reside in households, with a 2:1 oversample of African-American and Hispanic populations. The original sample is refreshed with new birth cohorts (51-56 years of age) every six years. The sample has been expanded over the years to include a broader range of birth cohorts as well. The target population for the AHEAD survey consists of United States household residents who were born in 1923 or earlier. Children of the Depression (CODA) recruits households born 1924-1930, War Babies 1942-47, Early Boomers 1948-53, and Mid-Boomers 1954-59. Data collection includes a mixed mode design combining in-person, telephone, mail, and Internet. For consenting respondents, HRS data are linked at the individual level to administrative records from Social Security and Medicare claims. *Genetic Research in the HRS.* The HRS has genotyped 2.5 million single nucleotide polymorphisms (SNPs) on respondents using Illumina's Human Omni2.5-Quad (Omni2.5) BeadChip. The genotyping was performed by the NIH Center for Inherited Disease Research (CIDR). Saliva was collected on half of the HRS sample each wave starting in 2006. In 2006, saliva was collected using a mouthwash collection method. From 2008 onward, the data collection method switched to the Oragene kit. Saliva completion rates were 83% in 2006, 84% in 2008, and 80% in 2010 among new cohort enrollees. HRS Phenotypic data. Phenotypic data are available on a variety of dimensions. Health measures include physical/psychological self-report, various health conditions, disabilities, cognitive performance, health behaviors (smoking, drinking, exercise), physical performance and anthropomorphic measures, and biomarkers (HbA1c, Total Cholesterol, HDL, CRP, Cystatin-C). Data are also available on health services including utilization, insurance and out-of-pocket spending with linkage to Medicare records. Economic measures include employment status/history, earnings, disability, retirement, type of work, income by source, wealth by asset type, capital gains/debt, consumption, linkage to pensions, Social Security earnings/benefit histories. There is also extensive information on family structure, proximity, transfers to/from of money, time, social and psychological characteristics, as well as a wide range of demographics. Performance on a cognitive test combining immediate and delayed word recall was selected as an example trait for the dbGaP data release. In the immediate word recall task the interviewer reads a list of 10 nouns to the respondent and asks the respondent to recall as many words as possible from the list in any order. After approximately five minutes of asking other survey questions, the respondent is asked to recall the nouns previously presented as part of the immediate recall task. The total recall score is the sum of the correct answers to these two tasks, with a range of 0 to 20. Researchers who wish to link to other HRS measures not in dbGaP will be able to apply for access from HRS. A separate Data Use Agreement (DUA) will be required for linkage to the HRS data. See the HRS website (http://hrsonline.isr.umich.edu/gwas) for details.

pht002613.v2.p2

1 Itemgroep 5 Data-elementen

Eligibility

1 Itemgroep 6 Data-elementen

pht002614.v2.p2

1 Itemgroep 7 Data-elementen

pht005036.v1.p2

1 Itemgroep 4 Data-elementen

pht005037.v1.p2

1 Itemgroep 5 Data-elementen
- 28-12-21 - 1 Formulier, 1 Itemgroep, 7 Data-elementen, 1 Taal
Itemgroep: Beeinträchtigung verschiedener Lebens durch Schmerzen
https://www.testarchiv.eu/de/test/9003694 Der PDI kann bei Patienten mit chronischen Schmerzproblemen eingesetzt werden, um das subjektive Ausmaß an Beeinträchtigung durch die Schmerzproblematik im Alltag zu ermitteln. Er basiert auf einem multidimensionalen Konzept von schmerzbedingter Behinderung und greift dabei auf eine von der WHO (1980) vorgenommene Unterscheidung von Krankheits- und Verletzungsfolgen zurück, in der zwischen Schädigung, Behinderung und Benachteiligung differenziert wird. Erfasst werden sieben Lebensbereiche: (1) Familiäre und häusliche Verpflichtungen, (2) Erholung, (3) Soziale Aktivitäten, (4) Beruf, (5) Sexualleben, (6) Selbstversorgung und (7) Lebensnotwendige Tätigkeiten. Reliabilität: Cronbachs Alpha lag bei Alpha = .83-.90. Validität: Die Eindimensionalität des PDI wurde bestätigt. Die Konstruktvalidität wird durch moderate bis hohe Korrelationen mit den folgenden Indikatoren für die erlebte Behinderung belegt: (1) Down-Time: r = .40; (2) selbstentwickelte funktionale Einschätzungsskala zu Erfassung konkreter Verhaltensbeeinträchtigungen: r = .78; (3) Oswestry Low Back Pain Disability Questionnaire: r = .76. Es ergaben sich Zusammenhänge mit der Schmerzintensität (r = .23-.62), dem Beck-Depressionsinventar (r = .26-.52) und mit der der Depressionsskala CES-D (r = .55). Für die kriterienbezogene Validität sprechen auch Befunde an stationären Schmerzpatienten, denen auf Grundlage des Mainzer Stadienkonzeptes chronischer Schmerzen drei Chronifizierungsstadien zugeteilt wurden. Normen: Es liegen Prozentränge vor. Nach Dillmann, U., Nilges, P., Saile, H. & Gerbershagen, H. U. (2011). PDI. Pain Disability Index - deutsche Fassung [Verfahrensdokumentation und Fragebogen]. In Leibniz-Institut für Psychologie (ZPID) (Hrsg.), Open Test Archive. Trier: ZPID. https://doi.org/10.23668/psycharchives.4505 Bei dem Testverfahren handelt es sich um ein Forschungsinstrument, das der Forschung, Lehre und Praxis dient. Es wird vom Testarchiv online und kostenlos zur Verfügung gestellt und ist urheberrechtlich geschützt, d. h. das Urheberrecht liegt weiterhin bei dem/den Autor/en. Rückmeldung über die Anwendung eines Verfahrens aus dem Testarchiv des Leibniz-Instituts für Psychologie (ZPID) muss an die Testautoren/-innen gemeldet werden.
- 13-01-21 - 1 Formulier, 7 Itemgroepen, 138 Data-elementen, 1 Taal
Itemgroepen: Pain, Psychosocial assessment, Pain, Psychosocial assessment, Rating scale, Pain, Psychosocial assessment, Economic, Pain, Psychosocial assessment, Social support, Pain, Psychosocial assessment, Activities of Daily Living, Pain, Psychosocial assessment, Emotional support, Pain, Psychosocial assessment, Coping Behavior
Otis-Green, S., & The City of Hope Pain/Palliative Resource Center. (2012) . The Psychosocial Pain Assessment Form (PPAF). Measurement Instrument Database for the Social Science. Retrieved 12.01.2021, from www.midss.ie. Key references: Otis-Green, S. (2006). Psychosocial Pain Assessment Form. In Dow (Ed.), Nursing Care of Women with Cancer. St. Louis, MO: Elsevier Mosby, 556-561. Otis-Green, S. (2005). Psychosocial Pain Assessment Form. In Kuebler, Davis, Moore (Eds.), Palliative Practices: An Interdisciplinary Approach. St. Louis, MO: Elsevier Mosby, 462-467. Primary use / Purpose: The Psychosocial Pain Assessment Form (PPAF) is a comprehensive assessment form for measuring psychosocial pain. It does so under five domains: economic, social support, activities of daily living, emotional impact, and coping style. Additionally, an assessment of prior history is included to help clinicians focus interventions where sexual abuse or other traumatic memories are present. Background: The psychosocial model of pain is now widely accepted. Pain is no longer treated, or thought of, as a purely physiological condition, but instead, one that is the product of a myriad of both psychological and physiological factors. For this reason, there is a need for instruments which measure the full range of outcomes and causes associated with chronic pain, whether they be psychological, economic, or physiological. The Psychosocial Pain Assessment Form (PPAF) was developed to be used in this capacity. Digital Object Identifier (DOI): http://dx.doi.org/10.13072/midss.344
- 12-01-21 - 1 Formulier, 4 Itemgroepen, 39 Data-elementen, 1 Taal
Itemgroepen: Pain, Health Surveys, Pain, Health Surveys, Pain, Case, Pain, Case
Ferrell, B. & McCaffery, M. (2012). The Knowledge and Attitudes Survey Regarding Pain (KASRP). Measurement Instrument Database for the Social Science. Retrieved 12.01.2021, from www.midss.ie. Key references: “Knowledge and Attitudes Survey Regarding Pain” developed by Betty Ferrell, RN, PhD, FAAN and Margo McCaffery, RN, MS, FAAN, (http://prc.coh.org), revised 2012. Ferrell, B. R. (2007). Reducing barriers to pain assessment and management: An institutional perspective. Journal of Palliative Medicine, 10(1S), S15-S18. DOI: 10.1089/jpm.2007.9828. McCaffery, M., Ferrell, B. R., Pasero, C. (2000). Nurses' personal opinions about patients' pain and their effect on recorded assessments and titration of opioid doses. Pain Management Nursing, 1(3): 79-87 Primary use / Purpose: The Knowledge and Attitudes Survey Regarding Pain (KASRP) is a 37-item questionnaire. It contains 21 true or false questions and 16 multiple choice ones. Its purpose is to measure the attitudes and knowledge of caregivers on the subject of pain. It is particularly useful as a pre/post test measure and can be used to rate learning outcomes following educational programs on pain. Background: Chronic pain is a debilitating and often incurable problem for many. Palliative care-givers also routinely meet the need for effective treatment of pain in terminally ill patients. Effective care-giving is important in ensuring the wellbeing of these patients. Without sufficient training caregivers will struggle to meet the demands of dealing with chronic pain patients. The Knowledge and Attitudes Survey Regarding Pain (KASRP) is therefore a useful tool for specifically evaluating the knowledge of caregivers on the subject of pain. Psychometrics: The psychometric properties of the Knowledge and Attitudes Survey Regarding Pain (KASRP) are discussed in the introduction to the scale which is attached below. Digital Object Identifier (DOI): http://dx.doi.org/10.13072/midss.341
- 12-01-21 - 1 Formulier, 3 Itemgroepen, 16 Data-elementen, 1 Taal
Itemgroepen: Instructions, Knowledge, Experience
The City of Hope Pain & Palliative Care Resource Center. (2012) . The Patient Pain Questionnaire (PPQ) . Measurement Instrument Database for the Social Science. Retrieved 12.01.2021, from www.midss.ie Key references: Ferrell, B. R., Ferrell, B., Rhiner, M., Grant, M. (1991). Family Factors Influencing Cancer Pain. Post Graduate Medical Journal, 67 (Suppl 2), 64-69. Ferrell, B. R., Rhiner, M., Cohen, M., Grant, M. (1991). Pain as a Metaphor for Illness. Part I: Impact of Cancer Pain on Family Caregivers. Oncology Nursing Forum, 18(8), 1303-1309. Ferrell, B. R., Cohen, M., Rhiner, M., Rozak, A. (1991). Pain as a Metaphor for Illness. Part II: Family Caregivers' Management of Pain. Oncology Nursing Forum,18(8), 1315-1321. Ferrell, B. R., Rhiner, M., Ferrell, B. (1993). Development and Implementation of a Pain Education Program. Cancer, 72(11), 3426-3432. Primary use / Purpose: The Patient Pain Questionnaire (PPQ) is a 16-item ordinal inventory. Its purpose is to measure the knowledge and experience of a cancer patient in managing chronic pain. Background: Cancer pain is recognised as a serious barrier to mental wellbeing in cancer patients. One of the main aims of palliative care is to buffer patients against pain, both mental and physical. By using the Patient Pain Questionnaire (PPQ) and also the related family pain questionnaire (FPQ) clinicians and researchers can gain a clearer understanding of the patient/caregiver perspective and how this might interact with or even predict wellbeing or adjustment to pain. The PPQ can be used by either clinicans or researchers. Psychometrics: The psychometric properties of the Patient Pain Questionnaire (PPQ) are discussed in the introduction to the instrument itself which is attached below. Digital Object Identifier (DOI): http://dx.doi.org/10.13072/midss.332
- 12-01-21 - 4 Formulieren, 3 Itemgroepen, 17 Data-elementen, 1 Taal
Itemgroepen: General information qualifier, Health Professional, Patient Information, Patient Information
McCaffery, M., Ferrell, B. R., & O'Neil-Page, E.. (2012) . The Controlling Pain Vignettes Survey (CPVS) . Measurement Instrument Database for the Social Science. Retrieved 12.01.2021, from www.midss.ie Key references: McCaffery, M. & Ferrell, B. R. (1991). How would you respond to these patients in pain? Nursing 91, June, 34-37. McCaffery, M. & Ferrell, B. R. (1991). Patient age: Does it affect your pain-control decisions? Nursing, 91, September, 44-48. McCaffery, M. & Ferrell, B. R. (1992). How vital are vital signs? Nursing 92, January, 43-46. McCaffery, M., Ferrell, B. R., & and O'Neil-Page, E. (1992). Does life style affect your pain-control decisions? Nursing 92, April, 58, 60-61. Primary use / Purpose: The Controlling Pain Vignettes Survey (CPVS) is a four part survey in which nurses are presented with four pairs of patients as hypothetical case studies. The four pairs of patients differ according to four criteria: behaviour, age, vital signs, and lifestyle. The purpose of the survey is to measure the influence of these four criteria on nurse's assessments of patient pain. Background: Nurses are forced to make difficult decisions when presented with patients who are experiencing pain. Ethical dilemmas can also arise around issues such over-medication, under-medication, and opioid side effects to name a few. It is important to gain an understanding of how nurses make these decisions so that more insight can be gained into the factors influencing those decision making processes. This survey is the product of four separate studies, each investigating one specific factor which may be influential during nurses’ assessments of patient pain. Digital Object Identifier (DOI): http://dx.doi.org/10.13072/midss.330
- 11-10-20 - 1 Formulier, 15 Itemgroepen, 69 Data-elementen, 1 Taal
Itemgroepen: Instruction, Pain intensity, Evaluation Method, Pain, Question (Inquiry), Pain intensity (observable entity), rating scale; Pain relief, rating scale, Analgesics, Analgesics, Today, Change of medication, Pain, Evaluation, Documentation, Pain, Prescriptions, Non-drug, Order (action), Pain, Contact with, Physicians, Pain relief, Optimum, Problem, Pain, Decision, Pain management, Conflict (Psychology), Demography, Nurses, Patient
- 23-06-20 - 1 Formulier, 1 Itemgroep, 13 Data-elementen, 1 Taal
Itemgroep: Thoughts and feelings when you child is in pain
Crombez, Bijttebier, Eccleston, Mascagni, Mertens, Goubert and Verstraeten. (2012). Pain Catastrophizing Scale (parent version). Measurement Instrument Database for the Social Science. Retrieved 23.06.2020 from www.midss.ie Key references: Crombez, G., Bijttebier, P., Eccleston, C., Mascagni, T., Mertens, G., Goubert, L. and Verstraeten, K., (2003). The child version of the pain catastrophizing scale (PCS-C): a preliminary validation. Pain, 104 (3), pp. 639-646. Goubert, L., Eccleston, C., Vervoort, T., Jordan, A. and Crombez, G., (2006). Parental catastrophizing about their child's pain. The parent version of the Pain Catastrophizing Scale (PCS-P): A preliminary validation. Pain, 123 (3), pp. 254-263. Primary use / Purpose: These short likert-type questionnaires assess catastrophising about pain in children and their parents. It looks at issues such as rumination, magnification and feelings of helplessness. Background: Catastrophising about pain has been shown to influence adjustment to pain. Previously, the only measures for this construct were brief subscales of larger measures. The Pain Catastrophizing Scales developed from the measure used in Sullivan (1995) involves 13 items dedicated to overly negative attitudes towards the pain. The impact of pain catastrophizing may range from increasing subjective pain intensity to predicting the child's school attendance and parental depression. Psychometrics: Reliability and validity of the child version is discussed in Crombez, Bijttebier, Eccleston, Mascagni, Mertens, Goubert and Verstraeten (2003) and of the parent version in Goubert, Eccleston, Vervoort, Jordan, and Crombez (2006). Digital Object Identifier (DOI): http://dx.doi.org/10.13072/midss.212
- 21-06-20 - 1 Formulier, 1 Itemgroep, 13 Data-elementen, 1 Taal
Itemgroep: Thoughts and feelings during pain
Crombez, Bijttebier, Eccleston, Mascagni, Mertens, Goubert and Verstraeten. (2012). Pain Catastrophizing Scale (child version). Measurement Instrument Database for the Social Science. Retrieved 21.06.2020 from www.midss.ie Key references: Crombez, G., Bijttebier, P., Eccleston, C., Mascagni, T., Mertens, G., Goubert, L. and Verstraeten, K., (2003). The child version of the pain catastrophizing scale (PCS-C): a preliminary validation. Pain, 104 (3), pp. 639-646. Goubert, L., Eccleston, C., Vervoort, T., Jordan, A. and Crombez, G., (2006). Parental catastrophizing about their child's pain. The parent version of the Pain Catastrophizing Scale (PCS-P): A preliminary validation. Pain, 123 (3), pp. 254-263. Primary use / Purpose: These short likert-type questionnaires assess catastrophising about pain in children and their parents. It looks at issues such as rumination, magnification and feelings of helplessness. Background: Catastrophising about pain has been shown to influence adjustment to pain. Previously, the only measures for this construct were brief subscales of larger measures. The Pain Catastrophizing Scales developed from the measure used in Sullivan (1995) involves 13 items dedicated to overly negative attitudes towards the pain. The impact of pain catastrophizing may range from increasing subjective pain intensity to predicting the child's school attendance and parental depression. Psychometrics: Reliability and validity of the child version is discussed in Crombez, Bijttebier, Eccleston, Mascagni, Mertens, Goubert and Verstraeten (2003) and of the parent version in Goubert, Eccleston, Vervoort, Jordan, and Crombez (2006). Digital Object Identifier (DOI): http://dx.doi.org/10.13072/midss.212
- 24-03-20 - 1 Formulier, 13 Itemgroepen, 32 Data-elementen, 1 Taal
Itemgroepen: PK Blood Sample - Point in Time Collection , Tender Joint Count Page 1, Tender Joint Count Page 2 , Joint Assessor Initials - Joint Pain/Tenderness , Calculations - Joint Pain/Tenderness, Swollen Joint Count Page 1, Swollen Joint Count Page 2, Joint Assessor Initials - Joint Swelling , Calculations - Joint Swelling , Swollen/ Tender Joint Count, Pain Assessment VAS Score , Patient's Global Assessment of Arthritis Condition VAS Score , Physician's Global Assessment of Arthritis Condition VAS Score

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