Purdue Momentary Assessment Tool

1. Purdue Momentary Assessment Tool Set
2. Purdue Momentary Assessment Tool Box
3. Assessment Tool Rubrics
4. Purdue Momentary Assessment Tool Kit
5. Purdue Momentary Assessment Tool Set
6. Purdue Momentary Assessment Tool Catalog
7. Purdue Momentary Assessment Tools

The experience sampling method, also referred to as a daily diary method, or ecological momentary assessment (EMA), is an intensive longitudinal research methodology that involves asking participants to report on their thoughts, feelings, behaviors, and/or environment on multiple occasions over time.^[1] Participants report on their thoughts, feelings, behaviors, and/or environment in the moment (right then, not later; right there, not elsewhere) or shortly thereafter.^[2] Participants can be given a journal with many identical pages. Each page can have a psychometric scale, open-ended questions, or anything else used to assess their condition in that place and time. ESM studies can also operate fully automatized on portable electronic devices or via the internet.^[3] The experience sampling method was developed by Larson and Csikszentmihalyi.^[4]

The PDA was programmed using a modified version of the Purdue Momentary Assessment Tool, version 2.1.2 (26). The sampling schedules, electronic interview content, and question format were previously validated in a subsample (N=56) of the sample analyzed here (19). Scientists and clinicians should consider incorporating this assessment approach as a rehabilitation tool that may more accurately assess the complex and dynamic nature of disability over the. The experience sampling method, also referred to as a daily diary method, or ecological momentary assessment (EMA), is an intensive longitudinal research methodology that involves asking participants to report on their thoughts, feelings, behaviors, and/or environment on multiple occasions over time.

Mar 01, 2015 The PDAs were programmed using the Purdue Momentary Assessment Tool (PMAT; Weiss, Beal, Lucy, & MacDermid, 2004) to prompt participants 4 times a day for 7 days, resulting in 28 assessments per participant (although several participants completed up to 30 assessments due to the timing of their scheduled appointments for dropping off their. Jul 10, 2012 The Purdue Momentary Assessment Tool (PMAT) is a human behavior monitoring tool using smartphones to facilitate event-driven study design. PMAT was successfully used to monitor substance use and symptom expression in schizophrenia patients 84, 85.

Overview[edit]

There are different ways to signal participants when to take notes in their journal or complete a questionnaire,^[5] like using preprogrammed stopwatches. An observer can have an identically programmed stopwatch, so the observer can record specific events as the participants are recording their feelings or other behaviors. It is best to avoid letting subjects know in advance when they will record their feelings, so they can't anticipate the event, and will just be 'acting naturally' when they stop and take notes on their current condition. Conversely, some statistical techniques require roughly equidistant time intervals, which has the limitation that assessments can be anticipated. Validity in these studies comes from repetition, so you can look for patterns, like participants reporting greater happiness right after meals. These correlations can then be tested by other means for cause and effect, such as vector autoregression,^[6] since ESM just shows correlation.

Purdue Momentary Assessment Tool Set

Some authors also use the term experience sampling to encompass passive data derived from sources such as smartphones, wearable sensors, the Internet of Things, email and social media that do not require explicit input from participants.^[7] These methods can be advantageous as they impose less demand on participants improving compliance and allowing data to be collected for much longer periods, are less likely to change the behaviour being studied and allow data to be sampled at much higher rates and with greater precision. Many research questions can benefit from both active and passive forms of experience sampling.

Software and related tools[edit]

The first mobile device application that could be used as a tool for Experience Sampling Method was the ESP Package (dating to the late 1990s). This had limited functionality in that it is designed for older iOS Palm devices and had limited scheduling capabilities. It no longer works on modern mobile devices.^[8] iHabit was the first smartphone mobile application designed for Experience Sampling. It was developed in 2011 and used in a study published by PLOS One in 2013.^[9] In 2015, it was superseded by the LifeData system, which was used in a study published by JAMA Pediatrics in 2016.^[10] This system has subsequently been used in numerous studies. The PIEL Survey app (first version 2012) is a free app available in iOS^[11] and Android ^[12]versions and has since been used in more than 12 academic publications. It can be used for scheduled, random and on-demand surveys. Unlike many platforms, no server is required as data is saved on the device and emailed to the researcher or else retrieved by file sharing.^[13] Other early smartphone platforms for ESM include SurveySignal^[14] and Ilumivu (developed in 2012), MetricWire (developed in 2013), Instant Survey, Movisens, and Aware (Open Source). The largest ESM study was achieved through PSYT's Mappiness App,^[15] PSYT's apps collect data through ESM as well as reporting the data back to users to enable real-time visualisation and tracking of variables. Several other commercial and open source systems are currently available to help researchers run ESM studies,^[16] including BeepMe,^[17] and Expimetrics.^[18]Physiqual enables researchers to gather and integrate data from commercially available sensors and service providers to use them in ESM,^[19] including Fitbit and Google Fit. As of 2014, Movisens have developed the ability to trigger sampling forms from physiological data such as actigraphy and ECG.^[20]unforgettable.me provide a platform for both active and passive experience sampling that allows the integration of some 400 data sources.

In 2020, the AthenaCX platform (beta) was launched by an Irish based startup. AthenaCX's platform enables researchers to easily create and distribute experience sampling studies which can also be integrated with wearable devices; giving researchers access to health data along with their study. The powerful software enables researchers to trigger specific questionnaires which are dependent on a participant's gathered health/activity data. The platform has a central focus on the BYOD (Bring Your Own Device) process. The app is readily available from the Google and Apple App Stores so participants can get fully up and running within platform in a matter of minutes.

With context-sensitive experience sampling, researchers can trigger questions based on app usage or location: 'You just used Instagram for 30min. How do you feel?' 'You just left a coffee shop. How much did you pay?' This solution is offered by the German company Murmuras.

Outside of academic and commercial research, the use of experience sampling is rare. One consumer market example is Mood Patterns, a mood tracking app available for Android.

See also[edit]

References[edit]

1. ^Bolger, N.; Laurenceau, J.P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. New York, N.Y.: Guilford Press.
2. ^Csikszentmihalyi, M. (July 2014). Validity and Reliability of the Experience-Sampling Method. New York: Springer. p. 322. ISBN978-94-017-9087-1.
3. ^van der Krieke; et al. (2015). 'HowNutsAreTheDutch (HoeGekIsNL): A crowdsourcing study of mental symptoms and strengths'(PDF). International Journal of Methods in Psychiatric Research. 25 (2): 123–144. doi:10.1002/mpr.1495. PMC6877205. PMID26395198.
4. ^Larson, R.; Csikszentmihalyi, M. (1983). 'The experience sampling method'. New Directions for Methodology of Social and Behavioral Science. 15: 41–56.
5. ^Hektner, J.M., Schmidt, J.A., Csikszentmihalyi, M. (Eds.). (2006). Experience Sampling Method: Measuring the Quality of Everyday Life. Sage Publications, Inc. ISBN978-1-4129-2557-0
6. ^van der Krieke, L; Blaauw, FJ; Emerencia, AC; Schenk, HM; Slaets, JP; Bos, EH; de Jonge, P; Jeronimus, BF (2016). 'Temporal Dynamics of Health and Well-Being: A Crowdsourcing Approach to Momentary Assessments and Automated Generation of Personalized Feedback (2016)'. Psychosomatic Medicine. 79 (2): 213–223. doi:10.1097/PSY.0000000000000378. PMID27551988.
7. ^Nielson, D. M.; Smith, T. A.; Sreekumar, V.; Dennis, S.; Sederberg, P. B. (2015). 'Human hippocampus represents space and time during retrieval of real-world memories'. Proceedings of the National Academy of Sciences. 112 (35): 11078–11083. Bibcode:2015PNAS.11211078N. doi:10.1073/pnas.1507104112. PMC4568259. PMID26283350.
8. ^Mehl, Matthias J.; Tamlin, Conner L. (2013-10-01). Handbook of Research Methods for Studying Daily Life. ISBN9781462513055.
9. ^Runyan, J. D.; Steenbergh, T. A.; Bainbridge, C.; Daugherty, D. A.; Oke, L.; Fry, B. N. (2013). 'A smartphone ecological momentary assessment/intervention 'app' for collecting real-time data and promoting self-awareness'. PLOS ONE. 8 (8): e71325. Bibcode:2013PLoSO..871325R. doi:10.1371/journal.pone.0071325. PMC3743745. PMID23977016.
10. ^Wiebe, Douglas J.; Nance, Michael L.; Houseknecht, Eileen; Grady, Matthew F.; Otto, Nicole; Sandsmark, Danielle K.; Master, Christina L. (2016). 'Ecologic Momentary Assessment to Accomplish Real-Time Capture of Symptom Progression and the Physical and Cognitive Activities of Patients Daily Following Concussion'. JAMA Pediatrics. 170 (11): 1108–1110. doi:10.1001/jamapediatrics.2016.1979. PMID27617669.
11. ^'PIEL Survey'.
12. ^'PIEL Survey - Apps on Google Play'.
13. ^https://pielsurvey.org/profile/survey-experience-sampling-method/
14. ^Hofmann, W., & Patel, P. V. (2015). SurveySignal: A convenient solution for experience sampling research using participants' own smartphones. Social Science Computer Review, 33, 235-253. http://journals.sagepub.com/doi/pdf/10.1177/0894439314525117
15. ^'Archived copy'(PDF). Archived from the original(PDF) on 2016-07-05. Retrieved 2016-11-11.CS1 maint: archived copy as title (link)
16. ^Conner, T. S. (2013, May). Experience sampling and ecological momentary assessment with mobile phones. Retrieved from http://www.otago.ac.nz/psychology/otago047475.pdf
17. ^as available through, e.g., F-Droid catalogueArchived 2016-03-06 at the Wayback Machine
18. ^'Expimetrics'.
19. ^Blaauw; et al. (2016). 'Let's get Physiqual - an intuitive and generic method to combine sensor technology with ecological momentary assessments'. Journal of Biomedical Informatics. 63: 141–149. doi:10.1016/j.jbi.2016.08.001. PMID27498066.
20. ^'Interactive Ambulatory Assessment - Project - movisens GmbH'.

July 26, 2017 |

A Purdue University precision innovation developed for brain tumor surgery is being expanded to provide medical professionals with a rapid, robust supplemental assessment tool to more efficiently preserve, analyze and remove identified cancerous tissue and increase patient survival rates.

Purdue Momentary Assessment Tool Box

The technology was developed out of the Aston Lab in Purdue's College of Science, headed by Graham Cooks, the Henry B. Hass distinguished professor of analytical chemistry. Valentina Pirro, a research scientist in Purdue's Department of Chemistry, was also instrumental in the technology's development.

See also[edit]

References[edit]

1. ^Bolger, N.; Laurenceau, J.P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. New York, N.Y.: Guilford Press.
2. ^Csikszentmihalyi, M. (July 2014). Validity and Reliability of the Experience-Sampling Method. New York: Springer. p. 322. ISBN978-94-017-9087-1.
3. ^van der Krieke; et al. (2015). 'HowNutsAreTheDutch (HoeGekIsNL): A crowdsourcing study of mental symptoms and strengths'(PDF). International Journal of Methods in Psychiatric Research. 25 (2): 123–144. doi:10.1002/mpr.1495. PMC6877205. PMID26395198.
4. ^Larson, R.; Csikszentmihalyi, M. (1983). 'The experience sampling method'. New Directions for Methodology of Social and Behavioral Science. 15: 41–56.
5. ^Hektner, J.M., Schmidt, J.A., Csikszentmihalyi, M. (Eds.). (2006). Experience Sampling Method: Measuring the Quality of Everyday Life. Sage Publications, Inc. ISBN978-1-4129-2557-0
6. ^van der Krieke, L; Blaauw, FJ; Emerencia, AC; Schenk, HM; Slaets, JP; Bos, EH; de Jonge, P; Jeronimus, BF (2016). 'Temporal Dynamics of Health and Well-Being: A Crowdsourcing Approach to Momentary Assessments and Automated Generation of Personalized Feedback (2016)'. Psychosomatic Medicine. 79 (2): 213–223. doi:10.1097/PSY.0000000000000378. PMID27551988.
7. ^Nielson, D. M.; Smith, T. A.; Sreekumar, V.; Dennis, S.; Sederberg, P. B. (2015). 'Human hippocampus represents space and time during retrieval of real-world memories'. Proceedings of the National Academy of Sciences. 112 (35): 11078–11083. Bibcode:2015PNAS.11211078N. doi:10.1073/pnas.1507104112. PMC4568259. PMID26283350.
8. ^Mehl, Matthias J.; Tamlin, Conner L. (2013-10-01). Handbook of Research Methods for Studying Daily Life. ISBN9781462513055.
9. ^Runyan, J. D.; Steenbergh, T. A.; Bainbridge, C.; Daugherty, D. A.; Oke, L.; Fry, B. N. (2013). 'A smartphone ecological momentary assessment/intervention 'app' for collecting real-time data and promoting self-awareness'. PLOS ONE. 8 (8): e71325. Bibcode:2013PLoSO..871325R. doi:10.1371/journal.pone.0071325. PMC3743745. PMID23977016.
10. ^Wiebe, Douglas J.; Nance, Michael L.; Houseknecht, Eileen; Grady, Matthew F.; Otto, Nicole; Sandsmark, Danielle K.; Master, Christina L. (2016). 'Ecologic Momentary Assessment to Accomplish Real-Time Capture of Symptom Progression and the Physical and Cognitive Activities of Patients Daily Following Concussion'. JAMA Pediatrics. 170 (11): 1108–1110. doi:10.1001/jamapediatrics.2016.1979. PMID27617669.
11. ^'PIEL Survey'.
12. ^'PIEL Survey - Apps on Google Play'.
13. ^https://pielsurvey.org/profile/survey-experience-sampling-method/
14. ^Hofmann, W., & Patel, P. V. (2015). SurveySignal: A convenient solution for experience sampling research using participants' own smartphones. Social Science Computer Review, 33, 235-253. http://journals.sagepub.com/doi/pdf/10.1177/0894439314525117
15. ^'Archived copy'(PDF). Archived from the original(PDF) on 2016-07-05. Retrieved 2016-11-11.CS1 maint: archived copy as title (link)
16. ^Conner, T. S. (2013, May). Experience sampling and ecological momentary assessment with mobile phones. Retrieved from http://www.otago.ac.nz/psychology/otago047475.pdf
17. ^as available through, e.g., F-Droid catalogueArchived 2016-03-06 at the Wayback Machine
18. ^'Expimetrics'.
19. ^Blaauw; et al. (2016). 'Let's get Physiqual - an intuitive and generic method to combine sensor technology with ecological momentary assessments'. Journal of Biomedical Informatics. 63: 141–149. doi:10.1016/j.jbi.2016.08.001. PMID27498066.
20. ^'Interactive Ambulatory Assessment - Project - movisens GmbH'.

July 26, 2017 |

A Purdue University precision innovation developed for brain tumor surgery is being expanded to provide medical professionals with a rapid, robust supplemental assessment tool to more efficiently preserve, analyze and remove identified cancerous tissue and increase patient survival rates.

Purdue Momentary Assessment Tool Box

The technology was developed out of the Aston Lab in Purdue's College of Science, headed by Graham Cooks, the Henry B. Hass distinguished professor of analytical chemistry. Valentina Pirro, a research scientist in Purdue's Department of Chemistry, was also instrumental in the technology's development.

Assessment Tool Rubrics

The team's morphologically friendly mass spectrometry imaging technique could determine if microscopic cancerous tissue is still present in a sample and thus provide more information to influence a surgeon's decisions regarding further tissue removal.

Pirro says other mass spectrometry techniques have limitations.

'Mass spectrometry can identify and measure molecules within a tissue by measuring a signal that relates to the mass and structure of the molecule. It can be used in cancer diagnostics because it's able to monitor the differential distribution of lipids or malformed metabolites that distinguish normal and cancerous tissue,' she says. 'With some form of mass spectrometry imaging, the chemicals or solvents used in the process can often destroy the tissue sample. Essentially, you have one shot at getting the data and then the sample is gone.'

Cooks and his research team have developed a morphologically friendly method for tissue imaging that can be used to perform Desorption Electrospray Ionization Mass Spectrometry (DESI-MS).

'Our method allows researchers to choose solvent combinations that don't affect the morphology, or form, of the tissue. This means the tissue's native structure is preserved and after the experiment you're able to take your tissue and stain it or use it for other experiments to retrieve complementary chemical information,' Pirro said. 'The analysis is extremely simple and straightforward, because we can analyze tissue sections or smears with no sample preparation and then validate our results with standard histopathology. Essentially this solvent is used as a spray that is directed onto a small area of a sample and extracts molecules contained within. We can run an image by simply moving the spray right on top of a tissue section or smear.'

This assessment can be completed quickly while in the operating room, without interfering with the surgery, Pirro added.

'We were able to modify a commercial DESI-MS instrument so that it sits on top of a cart as a standalone system and can be easily wheeled in the operating room when needed. Once a surgeon resects a small biopsy, we can smear it on a glass slide and analyze it as is. After a few minutes we can tell the surgeon if the tumor is still present in the tissue sample and estimate the percentage of infiltration,' she says. 'By adding these objective measures, we are hoping that the surgeon will be guided in the resection and make fast decisions on whether or not to remove more tissue.'

Purdue Momentary Assessment Tool Kit

Pirro says that preoperative MRI images are typically used to help guide surgeons; however, they are limited.

'Preoperative MRI images don't always precisely translate to the area of surgery,' she says. 'Additionally, there may be high infiltration of the tumor beyond what the MRI image is able to see. These limitations can cause difficulty in safely removing as much of the tumor as possible.'

Purdue Momentary Assessment Tool Set

The technical challenges for brain tumor surgery and treatment applications helped led the research team to this expanded use of the technology.

'Brain tumors are specifically complicated because they infiltrate into the brain and don't make clear borders,' Pirro says. Baby lock ea 605 manual. 'In order to make sure the patient has the highest chance of survival, it's imperative that as much cancer tissue as possible is removed while trying to minimize neurological damages.'

The technology is currently being used in preclinical settings.

'We have completed studies on a lot of tissue samples to confirm that we are able to get valuable diagnostic information. We are currently using the technique in the operating room in preclinical assessments where we perform our experiment without influencing the surgical practice itself,' Pirro says. 'We have completed 18 different surgeries to show that the assessment is feasible, rapid and robust. Additionally, we have been able to identify tissue highly-infiltrated with tumor even when the MRI images may say otherwise.'

Purdue Momentary Assessment Tool Catalog

Pirro says the next step for the technology is a clinical trial.

'Through a clinical trial the technology could influence the decision strategy. Ideally you would compare surgeries done with and without this technology and see if there is an improvement in the survival rate,' she says. 'We imagine a company licensing this technology to take these next steps before eventually bringing it to market and provide this supplemental tool to surgeons everywhere.'

The Purdue Research Foundation's Office of Technology Commercialization has patented the technology and it is available for license. For information, call 765-588-3470 or email innovation@prf.org.

Purdue Momentary Assessment Tools

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