Digital Methodology for Mobile Clinical Decision Support Development in Long-Term Care

Abstract

The global COVID-19 pandemic has driven innovations in methods to sustain initiatives for the design, development, evaluation, and implementation of clinical support technology in long-term care settings while removing risk of infection for residents, family members, health care workers, researchers and technical professionals. We adapted traditional design and evaluation methodology for a mobile clinical decision support app – designated Mobile Application Information System for Integrated Evidence (“MAISIE”) – to a completely digital design methodology that removes in-person contacts between the research team, developer, and nursing home staff and residents. We have successfully maintained project continuity for MAISIE app development with only minor challenges while working remotely. This digital design methodology can be implemented in projects where software can be installed without in-person technical support and remote work is feasible. Team skills, experience, and relationships are key considerations for adapting to digital environments and maintaining project momentum.

Nurses’ Roles in mHealth App Development: Scoping Review

“…The characteristics of the included studies are summarized in Table 1 . Of the 157 included publications, 132 (84.1%) either described usability testing or were original research papers [ 32 - 49 , 51 , 52 , 55 , 56 , 58 - 65 , 67 - 75 , 77 - 81 , 83 , 85 - 87 , 89 - 107 , 110 , 112 - 117 , 119 - 124 , 126 , 129 , 130 , 132 - 134 , 136 , 138 , 140 - 145 , 147 - 160 , 162 - 169 , 171 - 173 , 175 - 187 ].…”

“…The remaining publications (7/157, 4.5%) were protocols or descriptions of theoretical frameworks [ 50 , 53 , 54 , 57 , 109 , 130 , 139 ]. A total of 34 countries were represented in the publications, most frequently Brazil (29/157, 18.5%) [ 36 , 37 , 40 , 45 , 48 , 60 , 61 , 65 , 70 , 83 , 87 , 114 , 115 , 117 , 120 , 134 , 136 , 138 , 142 , 143 , 152 - 154 , 157 , 163 , 165 , 177 , 182 , 183 ], the United States (26/157, 16.6%) [ 33 , 38 , 41 , 42 , 44 , 47 , 54 , 57 , 66 , 68 , 69 , 71 , 76 , 81 , 89 , 97 , 102 , 103 , 107 , 113 , 121 , 132 , 160 , 164 , 170 , 181 ], South Korea (10/157, 6.4%) [ 56 , 58 , 101 , 105 ...…”

“…This was followed by the role of informant or SME (106/157, 67.5%) [ 32 - 37 , 39 - 41 , 43 , 46 , 49 , 50 , 52 - 56 , 58 - 61 , 63 , 64 , 67 , 69 , 72 - 75 , 77 , 79 - 81 , 83 - 86 , 89 - 91 , 93 , 95 , 98 , 99 , 102 , 104 , 106 - 110 , 113 , 114 , 116 , 119 , 121 , 123 - 127 , 129 , 132 - 134 , 137 - 139 , 141 , 146 , 148 - 160 , 162 - 171 , 173 - 175 , 177 , 178 , 181 , 182 , 184 - 188 ], designer or creator (31/157, 19.7%) [ 42 , 45 , 56 , 57 , 72 , 78 , 88 , 92 ,…”

“…Nurses served in different roles across different phases of development. The most common co-occurrence was a nurse acting as an informant or SME during the requirements gathering phase (88/157, 56.1%) [ 32 - 37 , 39 - 41 , 43 , 46 , 49 , 50 , 52 - 56 , 58 , 59 , 61 , 63 , 64 , 67 , 72 - 75 , 77 , 79 - 81 , 83 , 84 , 86 , 89 - 91 , 95 , 98 , 99 , 102 , 104 , 106 - 110 , 114 , 116 , 119 , 123 - 126 , 129 , 132 , 134 , 136 - 138 , 146 , 148 , 150 , 153 - 155 , 158 - 160 , 162 - 171 , 173 , 178 , 181 , 184 - 188 ], closely followed by acting as an evaluator during the design and prototyping phase (84/157, 53.5%) [ 32 - 34 , 36 , 37 , 39 , 41 , 43 ,…”

A Technology-Enhanced Intervention for Violence and Substance Use Prevention Among Young Black Men: Protocol for Adaptation and Pilot Testing

“…The development of BrotherlyACT using UCD principles reimplements the design and adaptation methodologies from our previous studies with young men who are involved in violence and affected by trauma [ 34 , 62 ]. In more recent studies, we have used UCD methods in the design of a mobile clinical decision support app for urinary tract infection in long-term care [ 63 , 64 ] and in understanding the usability and function of consumer-grade wearable devices [ 65 ].…”