Inputs\/resources<\/span> > Activities<\/span> > Outputs<\/span> > Outcomes<\/span> > Impact<\/span> > Context<\/span><\/p>\n Logic models can be developed from scratch, based on findings in the scoping phase, but they can also be adapted based on existing models.<\/p>\n For example, for our T1DE service evaluation, which regards an integrated care service, we developed the logic model based on an existing one for integrated care services. The identified logic model was too detailed for our purposes, but we were able to use the wider categories that were described.<\/p>\n We use logic models throughout our evaluation. For example, during initial data analysis logic models can be used to identify potential gaps in data, where we hypothesised an activity leading to a certain outcome but cannot identify data for this.<\/p>\n Additionally, they can be used to integrate findings and can be particularly handy to integrate findings of various types of data. In the T1DE model, one of the anticipated outputs would be acceptance of the service by staff members as well as service users. We aim to collect both qualitative (interviews with staff and service users) as well as quantitative data (staff survey) on this topic.<\/p>\n Logic models are a nice way to present various types of data collected as part of the service evaluation. They can help explain to those commissioning the evaluations how the health service is anticipated to lead to certain outputs, outcomes, and impacts. This can help identify outcomes for future larger evaluations, as it can highlight various important factors that need to be present to achieve outcomes.<\/p>\n Furthermore, by including contextual factors in the logic models the wider contextual influences can be described easily. Finally, a lot of academic output can be complex, but logic models allow us to summarise complex data into a clear overview.<\/p>\n [\/et_pb_text][et_pb_post_nav _builder_version=”3.0.106″ in_same_term=”off” show_prev=”on” show_next=”on” prev_text=”Previous” next_text=”Next” locked=”on” parent_locked=”off” \/][et_pb_comments _builder_version=”3.0.106″ show_avatar=”on” show_reply=”on” show_count=”on” background_layout=”light” header_font_size_tablet=”51″ header_line_height_tablet=”2″ custom_button=”on” button_icon_placement=”right” button_text_color=”#ffffff” button_use_icon=”off” locked=”on” parent_locked=”off” button_text_size__hover_enabled=”off” button_text_size__hover=”null” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_text_color__hover_enabled=”off” button_text_color__hover=”null” button_one_text_color__hover_enabled=”off” button_one_text_color__hover=”null” 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In all our current evaluations we are using a logic model to hypothesise how evaluation outcomes can be achieved, to explain our findings as well as to integrate data. […]<\/p>\n","protected":false},"author":11,"featured_media":1574,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","_exactmetrics_skip_tracking":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1565","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorised"],"_links":{"self":[{"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/posts\/1565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/comments?post=1565"}],"version-history":[{"count":8,"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/posts\/1565\/revisions"}],"predecessor-version":[{"id":1575,"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/posts\/1565\/revisions\/1575"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/media\/1574"}],"wp:attachment":[{"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/media?parent=1565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/categories?post=1565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.manchester.ac.uk\/reval\/wp-json\/wp\/v2\/tags?post=1565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}How logic models are developed<\/h2>\n
How we use logic models<\/h2>\n
Presenting data<\/h2>\n
Related<\/h1>\n
Related posts:<\/h3>
Public and patient involvement, engagement and consultation in rapid evaluation research<\/h2><\/div><\/div><\/a>
Urgent and Emergency Care Insights<\/h2><\/div><\/div><\/a>
T1DE Conference (Dorset 2023)<\/h2><\/div><\/div><\/a><\/div>
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