63032-7PhenX - social networks protocol 211101Trial

Status Information

Status: Trial

Term Description

The Important and Health Matters Social Network Battery is an interviewer-administered survey that captures the names of all individuals within a respondent's social network and the relationship between these individuals. The high-burden protocol is a semi-structured interview that has both open-ended and close-ended questions. On average, it takes 15-20 minutes to complete because individuals usually provide 4-7 names. Note that this measure yields potentially identifiable data about the participant(s). The investigator should refer to Health Insurance Portability and Accountability Act (HIPAA) rules regarding potentially identifiable data, which will provide guidance on who may access the data and how they may do so. Given HIPAA concerns, researchers should consider what level of identification is needed on network ties. In one-time data collections, interviewers can use first names or initials. However, in panel studies, these approaches run into trouble because respondents tend not to remember the nicknames, initials, and pseudonyms they gave in earlier waves. It is essential that the interviewer ask for all names and list them on the interview form (or suggested separate Network Recording Form) before asking and coding items 2-11 on the form.
Source: Regenstrief LOINC

Panel Hierarchy
Details for each LOINC in Panel LHC-Forms

LOINC	Name	R/O/C	Example UCUM Units
63032-7	PhenX - social networks protocol 211101
Indent54125-0	Patient name
Indent67745-0	From which name generator was this person mentioned?
Indent67746-8	Person [PhenX]
Indent67747-6	Section name generator
Indent46098-0	Sex
Indent30525-0	Age	R	a
Indent67286-5	If yes, what is his/her relationship to you?
Indent67653-6	How close are you to this person?
Indent67654-4	How often do you see or talk to the person?
Indent67655-1	Do they trust doctors to take care of people's problems?
Indent67656-9	Has this person done any of the following for you or helped you out?
Indent67657-7	Does this person hassle you, cause you problems, or make your life difficult?

Fully-Specified Name

Component: PhenX - social networks protocol 211101
Property: -
Time: Pt
System: ^Patient
Scale: -
Method: PhenX

Additional Names

Short Name: Social networks proto

Survey Question

Source: PX211101

Basic Attributes

Class: PANEL.PHENX
Type: Clinical
First Released: Version 2.36
Last Updated: Version 2.66
Change Reason: Updated the PhenX ID from "PhenX.<ID>" to "PX<ID>" in Survey Question Source field to align with the variable identifier used in the PhenX Toolkit.; Added the PhenX protocol ID to the Component to clearly define the protocol version for which this panel is based upon.
Panel Type: Panel

Reference Information

Type	Source	Reference
Citation	Consensus measures for Phenotypes and Exposures	U.S. Department of Health and Human Services, National Institutes of Health, National Institute for Mental Health, Institute for Social Research, & Indiana University. The Indianapolis Network Mental Health Study (INMHS), 1990-1991.
Article	Consensus measures for Phenotypes and Exposures	Perry, B. L., & Pescosolido, B. A. (2010). Functional specificity in discussion networks: The influence of general and problem-specific networks on health outcomes. Social Networks, 32(4), 345-357.
Article	Consensus measures for Phenotypes and Exposures	Pescosolido, B. A., Brooks-Gardner, C., & Lubell, K.M. (1998). How people get into mental health services: Stories of choice, coercion and "muddling through" from "first-timers." Social Science and Medicine, 46(2), 275-286.
Article	Consensus measures for Phenotypes and Exposures	Pescosolido, B., & Wright, E. (2004). The view from two worlds: The convergence of social network reports between mental health clients and their ties. Social Science and Medicine, 58, 1795-1806.
Article	Consensus measures for Phenotypes and Exposures	Pescosolido, B. A., Wright, E. R., Alegr¿ M., & Vera, M. (1998). Social networks and patterns of use among the poor with mental health problems in Puerto Rico. Medical Care, 36(7), 1057-1072.
Article	Consensus measures for Phenotypes and Exposures	Stein, C. H., Rappaport, J., & Seidman, E. (1995). Assessing the social networks of people with psychiatric disability from multiple perspectives. Community Mental Health Journal, 31, 351-367.
Article	Consensus measures for Phenotypes and Exposures	Wright, E. R., & Pescosolido, B. A. (2002). "Sorry, I forgot": The role of recall error in longitudinal, personal networks studies. Social Networks and Health, 8, 113-129.

Member of these Panels

LOINC	Long Common Name
63009-5	PhenX domain - Social environments

Member of these Groups

LG51306-5

SDOH

Language Variants Get Info

zh-CNChinese (China): PhenX - 社交网络方案 211101:-:时间点:^患者:-:PhenX
it-ITItalian (Italy): PhenX - social network, protocollo:-:Pt:^Paziente:-:PhenX
ru-RURussian (Russian Federation): PhenX - социальные связи протокол:-:ТчкВрм:^Пациент:-:PhenX
es-MXSpanish (Mexico): PhenX - protocolo de redes sociales 211101:-:Punto temporal:^ Paciente:-:PhenX

Code System	Code	Code Text	Code Version
https://www.phenxtoolkit.org	211101	social_networks

LOINC FHIR^® API Example - CodeSystem and Questionnaire Requests Get Info

https://fhir.loinc.org/CodeSystem/$lookup?system=http://loinc.org&code=63032-7 https://fhir.loinc.org/Questionnaire/?url=http://loinc.org/q/63032-7

LOINC Copyright

Copyright © 2022 Regenstrief Institute, Inc. All Rights Reserved. To the extent included herein, the LOINC table and LOINC codes are copyright © 1995-2022, Regenstrief Institute, Inc. and the Logical Observation Identifiers Names and Codes (LOINC) Committee. See https://loinc.org/license for the full LOINC copyright and license.