A pilot randomized controlled trial of a decision aid with tailored fracture risk tool delivered via a patient portal

Smallwood, Alicia; Schapira, Marilyn M.; Fedders, Megan; Neuner, Joan

doi:10.1007/s00198-016-3767-4

Cited by 30 publications

(79 citation statements)

References 20 publications

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“…The studies were mainly (54%) conducted in North America [ 52 , 54 – 58 , 61 , 66 – 68 , 71 – 105 ]. Forty-four (50.6%) studies evaluated interventions targeting patients [ 32 , 51 , 52 , 54 , 57 , 59 – 64 , 66 , 67 , 69 , 72 , 75 – 79 , 84 – 86 , 88 , 90 – 92 , 96 , 98 , 99 , 102 , 103 , 106 – 116 ]. Fifteen (17.2%) studies evaluated interventions targeting health professionals [ 53 , 55 , 65 , 94 , 101 , 109 , 117 – 125 ].…”

Section: Resultsmentioning

confidence: 99%

“…The terms sex, gender and/or related terms were mentioned in almost all of the included studies: 83 (95.4%) [ 51 , 52 , 54 – 59 , 64 – 68 , 70 – 79 , 82 , 95 – 106 , 109 – 118 , 123 – 130 , 134 , 135 , 137 , 138 ]. Neither sex nor gender was mentioned in 29 (33.3%) studies [ 53 , 67 , 69 , 72 – 76 , 78 , 81 , 84 , 86 , 90 , 92 – 94 , 100 , 102 , 108 , 109 , 111 , 113 , 115 , 116 , 123 , 127 , 136 – 138 ]. Neither sex, gender nor any related term was mentioned in four (4.6%) studies [ 53 , 69 , 81 , 136 ] ( Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

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Sex and gender considerations in implementation interventions to promote shared decision making: A secondary analysis of a Cochrane systematic review

Adisso

Zomahoun²,

Gogovor³

2020

PLoS ONE

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Background Shared decision making (SDM) in healthcare is an approach in which health professionals support patients in making decisions based on best evidence and their values and preferences. Considering sex and gender in SDM research is necessary to produce precisely-targeted interventions, improve evidence quality and redress health inequities. A first step is correct use of terms. We therefore assessed sex and gender terminology in SDM intervention studies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Sex and gender considerations in implementation interventions to promote shared decision making: A secondary analysis of a Cochrane systematic review

Adisso

Zomahoun²,

Gogovor³

2020

PLoS ONE

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“…Therefore, to assist physicians and patients with the choice regarding osteoporosis treatment and to enhance therapy adherence by involving patients in the decision-making process, a decision aid (DA) in which patients with osteoporosis can choose their preferred treatment could be a valuable addition to current treatment [27][28][29][30][31][32]. In a DA, patients are often presented with the full range of treatment possibilities and information regarding the administration of the drug, effectiveness, and side effects [33,34]. Since preferences can differ over time, once a patient has made decision patients should be followed up regularly to check or the treatment is still in accordance with the patients' preferences [35].…”

Section: Discussionmentioning

confidence: 99%

Understanding patients’ preferences for osteoporosis treatment: the impact of patients’ characteristics on subgroups and latent classes

et al. 2019

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This study revealed patterns in osteoporosis patients' treatment preferences, which cannot be related to sociodemographic or clinical characteristics, implicating unknown underlying reasons. Therefore, to improve quality of care and treatment, patients should have an active role in treatment choice, irrespective of their characteristics. Introduction Patient centeredness is important to improve the quality of care. Accounting for patient preferences is a key element of patient centeredness, and understanding preferences are important for successful and adherent treatment. This study was designed to identify different preferences profiles and to investigate how patient characteristics influence treatment preferences of patients for anti-osteoporosis drugs. Methods Data from a discrete choice experiment among 188 osteoporotic patients were used. The hypothetical treatment options were characterized by three attributes: treatment efficacy, side effects, and mode/frequency of administration. A mixed logit model was used to measure heterogeneity across the sample. Subgroup analyses were conducted to identify potential effect of patient characteristics. Latent class modeling (LCM) was applied. Associations between patients' characteristics and the identified latent classes were explored with chi-square. Results All treatment options were important for patients' decision regarding osteoporotic treatment. Significant heterogeneity was observed for most attributes. Subgroup analyses revealed that patients with a previous fracture valued efficacy most, and patients with a fear of needles or aged > 65 years preferred oral tablets. Elderly patients disliked intravenous medication. Three latent classes were identified, in which 6-month subcutaneous injection was preferred in two classes (86%), while oral tablets were preferred in the third class (14%). No statistically significant associations between the profiles regarding socio-demographic or clinical characteristics could be found. Conclusions This study revealed patterns in patients' preferences for osteoporosis treatment, which cannot be related to specific sociodemographic or clinical characteristics. Therefore, patients should be involved in clinical decision-making to reveal their preferences.

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“…The review reported that of 1369 articles, only five studies demonstrated improved clinical outcomes and SDM among patients with use of patient portals aiding SDM. [19][20][21][22][23][24][25] However, none of these five studies were regarding menopause.…”

Section: Introductionmentioning

confidence: 99%

A Patient Portal Intervention for Menopause Knowledge and Shared Decision-Making

Dang

Thavalathil

Ruiz

et al. 2019

Journal of Women's Health

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Background: Menopause is a time often fraught with changes and symptoms, which may require difficult choices and decision-making. During this period, women would benefit from a better understanding and indepth discussions with providers regarding menopause, associated conditions, and appropriate therapy. Patient portals offer a potential means to improve knowledge and shared decision-making (SDM) about menopause. Materials and Methods: This protocol article explores the feasibility of using the secure messaging (SM) function of the Veterans Affairs (VA) Patient Portal, ''My HealtheVet'' to implement an educational intervention and measure its impact on knowledge and SDM in the management of menopause. Results: This is a quality improvement pilot study in which women veterans of menopausal age in the Miami VA are offered an educational intervention via a patient portal, while women veterans in two neighboring VA facilities are not. Intervention participants receive weekly SMs with information on menopause symptoms, and treatment. After 6-months, all participants are surveyed on menopause knowledge, SDM, and satisfaction with the program. Conclusion: This study is among the first to assess the impact of an innovative patient portal intervention to improve knowledge and SDM between patients and providers regarding menopause. If successful, our program will add to the ''meaningful use'' of patient portals and offer a scalable and timely resource for SDM about menopause.

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A pilot randomized controlled trial of a decision aid with tailored fracture risk tool delivered via a patient portal

Cited by 30 publications

References 20 publications

Sex and gender considerations in implementation interventions to promote shared decision making: A secondary analysis of a Cochrane systematic review

Sex and gender considerations in implementation interventions to promote shared decision making: A secondary analysis of a Cochrane systematic review

Understanding patients’ preferences for osteoporosis treatment: the impact of patients’ characteristics on subgroups and latent classes

A Patient Portal Intervention for Menopause Knowledge and Shared Decision-Making

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