Engaging older adults to guide the development of passive home health monitoring to support aging in place
Data files
Jul 17, 2026 version files 639.91 KB
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participant_survey.pdf
188.74 KB
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README.md
3.68 KB
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sensor_manuscript_survey_codebook_12_3_2025.pdf
315.72 KB
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sensor_manuscript_survey_codebook_12_3_2025.spv
91.51 KB
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sensor_manuscript_survey_data_12_3_2025.csv
15.82 KB
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sensor_manuscript_survey_data_12_3_2025.sav
24.45 KB
Abstract
By 2050, most adults aged 65 and older in the United States will want to age independently at home, a goal that will strain healthcare resources. Adults aged 50 and older (N = 112) were recruited for study participation between 2018 and 2022. They completed surveys and participated in discussion sessions to explore their needs and opinions regarding smart home sensors. Results from surveys and discussion sessions were published in Sensors. Included here are the de-identified survey results. The data are uploaded in SPSS and excel format with codebooks available in both SPSS and a PDF.
Dataset DOI: 10.5061/dryad.p5hqbzm24
Description of the data and file structure
This survey was completed via REDCap (a HIPAA compliant database) or on paper and entered into REDCap. Once data collection was complete, non PHI data were downloaded from REDCap for use in SPSS. REDCap provided the data dictionary and source code for generating the SPSS file. Recoding was completed in SPSS to collapse categories into analyzable groupings (e.g. home living arrangement). SPSS uses a period '.' to denote missing data. Missing data may have occurred if the individual did not wish to answer a question, or a question was not answered because of a skip pattern in the questionnaire.
The data are provided in both SPSS and CSV formats, and the codebooks are provided in both SPSS and PDF formats to ensure accessibility. In cases where individuals do not wish to use the SPSS format, they may either use the open-source JASP, which will read the SPSS structure and data, or use the CSV format and refer to the PDF of the codebook to evaluate the data in other than SPSS or a similar program. Both the SPSS and CSV datasets are identical in the data they provide. The codebooks are as well identical.
Files and variables
File: sensor_manuscript_survey_codebook_12_3_2025.spv
Description: Codebook for the survey data generated from SPSS. One needs SPSS to open and view this file.
File: sensor_manuscript_survey_data_12_3_2025.sav
Description: Survey data in SPSS format. Results from these data are presented in our Sensors article. One needs SPSS to open and view these data. No additional information is needed to open and use these data. All scripts, metadata and codes are included in this file. SPSS uses a period '.' to denote missing data. Missing data may have occurred if the individual did not wish to answer a question, or a question was not answered because of a skip pattern in the questionnaire.
File: sensor_manuscript_survey_data_12_3_2025.csv
Description: Survey data in CSV format generated from SPSS. This dataset is identical to the SPSS formatted data for use outside of SPSS.
File: participant_survey.pdf
Description: A pdf of the survey used to collect these data
File: sensor_manuscript_survey_codebook_12_3_2025.pdf
Description: Codebook for the survey data generated from SPSS. One does not need SPSS to open and view this file as it was printed from the SPSS file.
Code/software
To open and view the dataset one would need SPSS or another statistical program that has a translational module to open and convert the SPSS data to their format (e.g. SAS, JASP).
Access information
Other publicly accessible locations of the data:
- There are no other locations for accessing these data
Data was derived from the following sources:
- Data were derived from a survey completed with older adults. Data were entered into REDcap and then exported to SPSS for recoding, analysis, and preparation of these data for sharing.
Human subjects data
The study was approved by the university IRB prior to the start of data collection. All participants provided consent for data collection. Any identifying information was removed from the dataset as part of preparation for data sharing. All names, and contact information was excluded from data extraction from REDCap. Prior to uploading the dataset, the file was reviewed by the university honest broker to ensure that de-identification was completed.