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eMindLog: Self-Measurement of Anxiety and Depression Using Mobile Technology

eMindLog: Self-Measurement of Anxiety and Depression Using Mobile Technology

Subjective measures, being self-referential in nature [1], have larger and variable errors in measurement. In mental health, subjective measures provide unique data but come with challenges. Measuring one’s mental experiences requires the individual to demarcate the experience to be assessed, discern through self-reflection, provide an internal context for grading, and translate the experience into a numerical quantity.

Thomas M M Penders, Karl L Wuensch, Philip T Ninan

JMIR Res Protoc 2017;6(5):e98

Measuring Technology-Facilitated Sexual Violence and Abuse in the Chinese Context: Development Study and Content Validity Analysis

Measuring Technology-Facilitated Sexual Violence and Abuse in the Chinese Context: Development Study and Content Validity Analysis

Therefore, the development of a comprehensive, unified, and culturally sensitive measurement of TFSVA is needed. Although the concepts of TFSVA are not well defined, TFSVA in this study refers to any form of sexual violence or harassment through the misuse of digital technologies [12]. The overall goal of this formative work is to develop a TFSVA measurement with sound content validity in the Chinese context.

Sharon Hoi Lam Pak, Chanchan Wu, Kitty Wai Ying Choi, Edmond Pui Hang Choi

JMIR Form Res 2024;8:e65199

The Conceptualization and Measurement of Research Impact in Primary Health Care: Protocol for a Rapid Scoping Review

The Conceptualization and Measurement of Research Impact in Primary Health Care: Protocol for a Rapid Scoping Review

Several scoping reviews, such as those conducted by Murphy et al [21] on measurement in rural PHC, Noorihekmat et al [22] on performance measurement frameworks in public health and primary care systems, and Akl et al [23] on faculty productivity in academic medical centers, have explored aspects of research productivity and measurement within health care.

Monica Aggarwal, Brian G Hutchison, Kristina M Kokorelias, Vivian R Ramsden, Noah M Ivers, Andrew Pinto, Ross E G Uphsur, Sabrina T Wong, Nick Pimlott, Steve Slade

JMIR Res Protoc 2024;13:e55860

Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study

Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study

The reliabilities, validities, and measurement invariance of the e HLS-Web3.0 across gender and region have been supported in a previous study with young adults [33], whereas its psychometric properties remain unexplored in older adults, especially those living with NCDs.

Wenfei Cai, Wei Liang, Huaxuan Liu, Rundong Zhou, Jie Zhang, Lin Zhou, Ning Su, Hanxiao Zhu, Yide Yang

J Med Internet Res 2024;26:e52457

How Health Care Organizations Approach Social Media Measurement: Qualitative Study

How Health Care Organizations Approach Social Media Measurement: Qualitative Study

Thematic analysis of interview transcripts yielded five main themes concerning health care organizations’ approach to social media measurement: frequency of social media measurement, benchmarks used for social media measurement, metrics tracked in social media measurement, tools used in social media measurement, and challenging aspects of social media measurement.

Chukwuma Ukoha

JMIR Form Res 2020;4(8):e18518

Telehealth Evaluation in the United States: Protocol for a Scoping Review

Telehealth Evaluation in the United States: Protocol for a Scoping Review

During the COVID-19 pandemic, the National Quality Forum (NQF) updated its telehealth measurement development framework, initially created in 2017, through an environmental scan conducted in 2021 [18-20]. Despite the wealth of telehealth evaluation frameworks available, several critical questions remain unanswered.

Yunxi Zhang, Yueh-Yun Lin, Lincy S Lal, Jennifer C Reneker, Elizabeth G Hinton, Saurabh Chandra, J Michael Swint

JMIR Res Protoc 2024;13:e55209

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Anthropometric measurement of children is a standard component of pediatric care to enable growth monitoring as well as population-level assessments and clinical research. Despite widespread reliance on anthropometry, there has been limited technological advancement in measurement equipment. The accuracy of weight measurement was improved with the transition from spring to digital scales in the 1980s [1,2].

Eva Leidman, Muhammad Ali Jatoi, Iris Bollemeijer, Jennifer Majer, Shannon Doocy

JMIR Biomed Eng 2022;7(2):e40066

Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study

Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study

In addition, Spanish measures are essential for health disparities research in the United States but need to be assessed for conceptual, semantic, and measurement equivalence to allow valid data pooling and comparison [50,51]. This is critically important given evidence of systematic response differences to discrimination measures by survey language and acculturation among Latino/a/x persons [52,53].

Ayden I Scheim, Greta R Bauer, João L Bastos, Tonia Poteat

JMIR Res Protoc 2021;10(8):e30987

Accuracy and Acceptability of Wrist-Wearable Activity-Tracking Devices: Systematic Review of the Literature

Accuracy and Acceptability of Wrist-Wearable Activity-Tracking Devices: Systematic Review of the Literature

These proportions are calculated using the measurement method that we are evaluating as the index test and another method, known to be accurate, as the reference standard [4]. Receiver operating characteristic curves are obtained plotting the sensitivity versus the complement of specificity and can be used to find optimal cutoff points for the index test. Absolute and percentage differences are used to determine how far the index test measurement is from the reference standard or their average [4].

Federico Germini, Noella Noronha, Victoria Borg Debono, Binu Abraham Philip, Drashti Pete, Tamara Navarro, Arun Keepanasseril, Sameer Parpia, Kerstin de Wit, Alfonso Iorio

J Med Internet Res 2022;24(1):e30791

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