Family fIRST, an Interactive Risk Screening Tool for Families in a School-Based Pediatric Clinic

Cohen-Silver, Justine; Laher, Nazeefah; Freeman, Sloane; Mistry, Niraj; Sgro, Michael

doi:10.1177/0009922816657152

Cited by 17 publications

(16 citation statements)

References 15 publications

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“…For specific population subgroups, such as adolescents, the HEADSS psychosocial screening tool has been used for several decades and examines (1) the home environment, (2) education and employment, (3) activities, (4) drugs, (5) sexuality, and (6) suicide and depression [ 29 ]. Similarly, the Family First screening tool has been used in school-based medical clinics to assess (1) maternal age; (2) education, income, and employment; (3) mental health problems and addictions; (4) parental attachment; (5) marital discord; and (6) social isolation [ 30 ]. Thus, a wide range of screening tools are already in existence, though mostly in terms of assessing a single domain of social risk, with some promising examples of multi-domain tools or approaches to social history taking.…”

Section: Resultsmentioning

confidence: 99%

Screening for social determinants of health in clinical care: moving from the margins to the mainstream

2018

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BackgroundScreening for the social determinants of health in clinical practice is still widely debated.MethodsA scoping review was used to (1) explore the various screening tools that are available to identify social risk, (2) examine the impact that screening for social determinants has on health and social outcomes, and (3) identify factors that promote the uptake of screening in routine clinical care.ResultsOver the last two decades, a growing number of screening tools have been developed to help frontline health workers ask about the social determinants of health in clinical care. In addition to clinical practice guidelines that recommend screening for specific areas of social risk (e.g., violence in pregnancy), there is also a growing body of evidence exploring the use of screening or case finding for identifying multiple domains of social risk (e.g., poverty, food insecurity, violence, unemployment, and housing problems).ConclusionThere is increasing traction within the medical field for improving social history taking and integrating more formal screening for social determinants of health within clinical practice. There is also a growing number of high-quality evidence-based reviews that identify interventions that are effective in promoting health equity at the individual patient level, and at broader community and structural levels.

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Section: Resultsmentioning

confidence: 99%

Screening for social determinants of health in clinical care: moving from the margins to the mainstream

2018

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“…Several proposed models of integration are being considered, such as through paper format or incorporation into electronic medical records (EMRs). 27 In an EMR system, users can add the BBD assessment form as a template. Further, if the patient’s previsit questionnaire can also be securely collected electronically, it could be integrated directly into the EMR upon completion, summarized and available for clinical review during the encounter.…”

Section: Discussionmentioning

confidence: 99%

Development of a Standardized Approach for the Assessment of Bowel and Bladder Dysfunction

Wang

Kanani

Bardisi

et al. 2019

Pediatric Quality &Amp; Safety

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“…These mostly comprise digitized screening and early detection tools. The majority of this work focuses on mental health or the prediction of mental disease [ 59 , 64 - 66 , 68 , 69 , 74 , 77 ], and only a few publications have focused on predictors of chronic disease in general, including substance abuse [ 63 , 65 , 68 , 70 , 77 ]. However, helping physicians to identify smokers is only one aim of the intervention presented here; we think it is at least likewise important to investigate its direct effect on quitting behavior in future studies.…”

Section: Discussionmentioning

confidence: 99%

A Face-Aging App for Smoking Cessation in a Waiting Room Setting: Pilot Study in an HIV Outpatient Clinic

Brinker¹,

Brieske²,

Eßer³

et al. 2018

J Med Internet Res

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BackgroundThere is strong evidence for the effectiveness of addressing tobacco use in health care settings. However, few smokers receive cessation advice when visiting a hospital. Implementing smoking cessation technology in outpatient waiting rooms could be an effective strategy for change, with the potential to expose almost all patients visiting a health care provider without preluding physician action needed.ObjectiveThe objective of this study was to develop an intervention for smoking cessation that would make use of the time patients spend in a waiting room by passively exposing them to a face-aging, public morphing, tablet-based app, to pilot the intervention in a waiting room of an HIV outpatient clinic, and to measure the perceptions of this intervention among smoking and nonsmoking HIV patients.MethodsWe developed a kiosk version of our 3-dimensional face-aging app Smokerface, which shows the user how their face would look with or without cigarette smoking 1 to 15 years in the future. We placed a tablet with the app running on a table in the middle of the waiting room of our HIV outpatient clinic, connected to a large monitor attached to the opposite wall. A researcher noted all the patients who were using the waiting room. If a patient did not initiate app use within 30 seconds of waiting time, the researcher encouraged him or her to do so. Those using the app were asked to complete a questionnaire.ResultsDuring a 19-day period, 464 patients visited the waiting room, of whom 187 (40.3%) tried the app and 179 (38.6%) completed the questionnaire. Of those who completed the questionnaire, 139 of 176 (79.0%) were men and 84 of 179 (46.9%) were smokers. Of the smokers, 55 of 81 (68%) said the intervention motivated them to quit (men: 45, 68%; women: 10, 67%); 41 (51%) said that it motivated them to discuss quitting with their doctor (men: 32, 49%; women: 9, 60%); and 72 (91%) perceived the intervention as fun (men: 57, 90%; women: 15, 94%). Of the nonsmokers, 92 (98%) said that it motivated them never to take up smoking (men: 72, 99%; women: 20, 95%). Among all patients, 102 (22.0%) watched another patient try the app without trying it themselves; thus, a total of 289 (62.3%) of the 464 patients were exposed to the intervention (average waiting time 21 minutes).ConclusionsA face-aging app implemented in a waiting room provides a novel opportunity to motivate patients visiting a health care provider to quit smoking, to address quitting at their subsequent appointment and thereby encourage physician-delivered smoking cessation, or not to take up smoking.

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Family fIRST, an Interactive Risk Screening Tool for Families in a School-Based Pediatric Clinic

Cited by 17 publications

References 15 publications

Screening for social determinants of health in clinical care: moving from the margins to the mainstream

Screening for social determinants of health in clinical care: moving from the margins to the mainstream

Development of a Standardized Approach for the Assessment of Bowel and Bladder Dysfunction

A Face-Aging App for Smoking Cessation in a Waiting Room Setting: Pilot Study in an HIV Outpatient Clinic

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