Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Ownby RL, Acevedo A, Waldrop-Valverde D, Caballero J, Simonson M, Davenport R, Kondwani K, Jacobs RJ. A Mobile App for Chronic Disease Self-Management: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2017;6:e53. [PMID: 28381395 PMCID: PMC5399224 DOI: 10.2196/resprot.7272] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 02/05/2017] [Accepted: 02/08/2017] [Indexed: 01/08/2023] Open

Number

Cited by Other Article(s)

Caballero J, Patel N, Waldrop D, Ownby RL. Patient activation and medication adherence in adults. J Am Pharm Assoc (2003) 2024;64:102025. [PMID: 38320653 PMCID: PMC11081861 DOI: 10.1016/j.japh.2024.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/02/2024] [Accepted: 01/30/2024] [Indexed: 02/08/2024]

Holmen H, Flølo T, Tørris C, Løyland B, Almendingen K, Bjørnnes AK, Albertini Früh E, Grov EK, Helseth S, Kvarme LG, Malambo R, Misvær N, Rasalingam A, Riiser K, Sandbekken IH, Schippert AC, Sparboe-Nilsen B, Sundar TKB, Sæterstrand T, Utne I, Valla L, Winger A, Torbjørnsen A. Unpacking the Public Health Triad of Social Inequality in Health, Health Literacy, and Quality of Life-A Scoping Review of Research Characteristics. Int J Environ Res Public Health 2023;21:36. [PMID: 38248501 PMCID: PMC10815593 DOI: 10.3390/ijerph21010036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/13/2023] [Accepted: 12/21/2023] [Indexed: 01/23/2024]

Affiliation(s)

Heidi Holmen Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.) Intervention Centre, Oslo University Hospital, 4950 Oslo, Norway
Tone Flølo Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.) Department of Surgery, Voss Hospital, Haukeland University Hospital, 5704 Voss, Norway
Christine Tørris Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Borghild Løyland Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Kari Almendingen Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Ann Kristin Bjørnnes Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Elena Albertini Früh Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Ellen Karine Grov Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Sølvi Helseth Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Lisbeth Gravdal Kvarme Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Rosah Malambo Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Nina Misvær Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Anurajee Rasalingam Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Kirsti Riiser Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.) Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway
Ida Hellum Sandbekken Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Ana Carla Schippert Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Bente Sparboe-Nilsen Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.) Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden
Turid Kristin Bigum Sundar Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Torill Sæterstrand Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Inger Utne Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Lisbeth Valla Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.) Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP), 0484 Oslo, Norway
Anette Winger Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
Astrid Torbjørnsen Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)

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Ownby RL, Waldrop D, Davenport R, Simonson M, Caballero J, Thomas-Purcell K, Purcell D, Ayala V, Gonzalez J, Patel N, Kondwani K. A mobile app for chronic disease self-management for individuals with low health literacy: A multisite randomized controlled clinical trial. medRxiv 2023:2023.04.01.23288020. [PMID: 37066256 PMCID: PMC10104214 DOI: 10.1101/2023.04.01.23288020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]

Purcell DJ, Cavanaugh G, Thomas-Purcell KB, Caballero J, Waldrop D, Ayala V, Davenport R, Ownby RL. e-Health Literacy Scale, Patient Attitudes, Medication Adherence, and Internal Locus of Control. Health Lit Res Pract 2023;7:e80-e88. [PMID: 37162255 PMCID: PMC10169461 DOI: 10.3928/24748307-20230417-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open

Abstract

BACKGROUND

Health literacy is related to a variety of health outcomes, including disease control, health-related quality of life, and risk for death. Few studies have investigated the relation of electronic health literacy (e-health literacy) to outcomes or the mechanism by which they may be related.

METHODS

Secondary data were drawn from participants in a larger study on chronic disease self-management who were age 40 years and older, had at least one chronic health condition and a health literacy score of 8th grade or below on the validated short form of the Rapid Estimate of Adult Literacy in Medicine. Participants completed the e-Health Literacy Scale (eHEALS), the Multidimensional Health Locus of Control scale, a modified version of the Attitudes Toward Health Care Providers Scale (ATHCPS), the Wake Forest Physician Trust Scale (WFPTS), and the Gonzalez-Lu adherence questionnaire. Hypothesized relations were evaluated in a bootstrapped path analytic model using the Mplus statistical software.

KEY RESULTS

Participants included 334 individuals (mean age: 57.5 years; 173 women and 161 men) with Black, Indigenous, and People of Color accounting for 83.3% of the participants and White individuals making up 16.7% of the participants. Model results showed that after controlling for age, education, gender, and race, the eHEALS score was significantly related to the ATHCPS and WFPTS but not to the Gonzalez-Lu adherence questionnaire (p < .05). The eHEALS score was significantly related to the Multidimensional Health Locus of Control scale. Analysis of indirect effects showed that a portion of the relation between e-health literacy and patient attitude and adherence was mediated by internal locus of control (all p < .05).

CONCLUSIONS

In this study, e-health literacy was related to important patient attitude and behavior variables via locus of control. This finding has implications for the importance of improving patients' ability to use the internet to access and effectively use health information. [HLRP: Health Literacy Research and Practice. 2023;7(2):e80-e88.].

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Abbasi F, Khajouei R, Ahmadinejad M, Razban F, Jahani Y. Need assessment and development of a mobile-based medication dosage calculation application for ICU nurses. Health Technol 2023. [DOI: 10.1007/s12553-022-00720-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]

Patel N, Waldrop D, Ownby RL. Creating a Tailored Info App to Promote Self-Management Skills in Persons with Chronic Health Conditions: Development Strategies and User Experience. Distance Learn (Greenwich) 2023;20:9-18. [PMID: 38440090 PMCID: PMC10911517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]

Ownby RL, Waldrop D. Cogstim: A Shared Decision-making Model to Support Older Adults' Brain Health. Curr Alzheimer Res 2023;20:202-208. [PMID: 37231715 DOI: 10.2174/1567205020666230525110814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 04/06/2023] [Accepted: 05/10/2023] [Indexed: 05/27/2023]

Thomas-Purcell K, Davenport R, Ayala V, Purcell D, Ownby RL. Chronic Disease Self-Management of Post-Acute Sequelae of COVID-19 Among Older Adults: A Mixed-Methods Analysis. Clin Interv Aging 2023;18:607-617. [PMID: 37082741 PMCID: PMC10112475 DOI: 10.2147/cia.s393732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/05/2023] [Indexed: 04/22/2023] Open

Abstract

Introduction

Approximately 20-30% of individuals who contract acute coronavirus disease (COVID-19) infection develop longer term complications of their initial infection, referred to as Post-Acute Sequelae of SARS-CoV-2 infection (PASC). PASC is characterized by chronic, varying symptomatology.

Methods

Using a mixed methods study design, we aimed to gain insight into individuals' experience with PASC, including cognitive issues, fatigue, and sleep disturbances. We explored whether our previously developed application (app), aimed at improving self-management skills among individuals with chronic diseases, is relevant for individuals with PASC and gained information to adapt the app for individuals with PASC. The study included 19 individuals, aged 40 years and older, recruited from our research participant database, Nova Southeastern University clinics, and community locations. We included this age range because older adults are more likely to have comorbid conditions, allowing us to better understand the impact of COVID-19 infection in these individuals. Participants completed seven standardized self-report questionnaires online, and an individual semi-structured interview via videoconferencing. Quantitative data were assessed using descriptive statistics and calculating individuals' scores in relation to norms. Qualitative data were analyzed using a thematic analysis approach. Triangulation of the data was accomplished by calculating correlations between participants' responses on self-report scales and themes found in semi-structured interviews.

Results

Themes included disruption of everyday life, diverse physical symptoms, and cognitive problems including brain fog, fatigue, coping, and emotional upset. Quantitative analysis demonstrated that participants experienced high levels of fatigue, negative mood, cognitive problems, and overall reduction in health-related quality of life (HRQOL). Correlation analyses revealed that individual interview responses were related to participants' self-report of symptoms on standard questionnaires.

Discussion

Findings indicate that self-report questionnaires may reflect the experience of individuals with PASC and its impact. Additionally, further efforts to expand our prior mobile app are warranted among individuals with PASC.

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Thomas-Purcell K, Ibe TA, Purcell D, Quinn G, Ownby R. Exploring Spirituality and Technology Receptivity Among a Sample of Older Blacks to Inform a Tailored Chronic Disease Self-Management mHealth Intervention. Patient Relat Outcome Meas 2020;11:195-207. [PMID: 33117016 PMCID: PMC7553651 DOI: 10.2147/prom.s260949] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 08/21/2020] [Indexed: 11/23/2022]

Nichols M, Teufel R, Miller S, Madisetti M, Giovanni CS, Chike-Harris K, Jones L, Prentice M, Ruggiero K, Kelechi T. Managing Asthma and Obesity Related Symptoms (MATADORS): An mHealth Intervention to Facilitate Symptom Self-Management among Youth. Int J Environ Res Public Health 2020;17:E7750. [PMID: 33470991 DOI: 10.3390/ijerph17217750] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 10/09/2020] [Accepted: 10/20/2020] [Indexed: 02/06/2023]

Wehmeier PM, Fox T, Doerr JM, Schnierer N, Bender M, Nater UM. Development and Validation of a Brief Measure of Self-Management Competence: The Self-Management Self-Test (SMST). Ther Innov Regul Sci 2019:2168479019849879. [PMID: 31303020 DOI: 10.1177/2168479019849879] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]

Abstract

BACKGROUND

Self-management can be considered a way of dealing with oneself and relates to actions undertaken to create order, discipline, and control. The concept is closely linked to concepts of self-efficacy and self-regulation but can be distinguished from these. The Self-Management Self-Test (SMST) is a 5-item assessment scale designed to measure self-management competence in individuals with or without a psychiatric disorder (as screened using PHQ). The aim of this study was to validate the SMST in terms of convergent validity, the ability to differentiate, criterion validity, internal consistency, and test-retest reliability.

METHODS

Eighty-seven adults hospitalized for treatment of major depression (clinical sample) and 595 individuals from the general population (population sample) filled out the SMST and 5 other stress-related psychometric instruments measuring similar constructs. All instruments were repeated 4 to 6 weeks later. Convergent validity, internal consistency, and test-retest reliability were tested based on data from the population sample. Convergent validity was determined by correlations with other stress-related psychometric instruments. Correlations in the range of r = -0.4 to -0.6 were expected. To test for criterion validity, the clinical sample was matched with a subsample from the population sample, consisting only of individuals without a psychiatric disorder as screened using PHQ (nonclinical subsample, n = 87). The ability to differentiate was based on receiver operating characteristic (ROC) curve analysis.

RESULTS

Correlations between the SMST and the other stress-related tests were significant and in the expected direction and predominantly within the expected range (Pearson r = -0.40 to -0.64). The correlation with the Multidimensional Fatigue Inventory-20, measuring fatigue, and with the dimensional scale for depression in the PHQ was higher than expected and referred to very similar items. Thus, convergent validity mainly lay within the expected range. Internal consistency was high (Cronbach α = 0.80), and test-retest reliability was fairly low (r = 0.71). The SMST showed a significant difference, t(157) = 7.97, P < .001, between the clinical sample (M = 9.36, SD = 3.39) and the nonclinical subsample (M = 12.94, SD = 2.47) with a large effect size (d = 1.3). The area under the ROC curve (AUC) was excellent (AUC = 0.81, SE = 0.034, P < .001), suggesting that the SMST can distinguish between the clinical and nonclinical samples.

CONCLUSIONS

The SMST can be considered an effective self-rating test to assess self-management competence in individuals from the general population as well as in people with major depression. It may also be useful to detect treatment outcomes in people with major depression. The high internal consistency indicates that all 5 items are important for the test as a whole. The low test-retest reliability suggests sensitivity to change. The SMST is likely to differentiate particularly well at low levels of self-management competence, suggesting it may be a useful tool in studies investigating people with depression or other psychiatric disorders such as post-traumatic stress disorder. Furthermore, the SMST could be useful in assessing the effect of treatment interventions over time and evaluating patient-reported outcomes.

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Hajesmaeel Gohari S, Gozali E, Niakan Kalhori SR. Virtual reality applications for chronic conditions management: A review. Med J Islam Repub Iran 2019;33:67. [PMID: 31456991 PMCID: PMC6708122 DOI: 10.34171/mjiri.33.67] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Indexed: 01/09/2023] Open

Ownby RL, Acevedo A, Waldrop-Valverde D. Enhancing the Impact of Mobile Health Literacy Interventions to Reduce Health Disparities. Q Rev Distance Educ 2019;20:15-34. [PMID: 31537979 PMCID: PMC6752043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]