Visual Field Assessment and Disability Evaluation.

Format:

Book

Author/Creator:

National Academies of Sciences, Engineering, and Medicine.

Contributor:

Division, Health and Medicine.

Services, Board on Health Care.

Evaluations, Committee on the Review of Standards for Visual Field Perimetry Devices and Their Use in Disability.

Spicer, Carol Mason.

Winters, Tina M.

Chu, Bernice.

Lewis, Roger J.

Language:

English

Subjects (All):

Disability evaluation.

Visual fields.

Physical Description:

1 online resource (161 pages)

Edition:

1st ed.

Place of Publication:

Washington, D.C. : National Academies Press, 2025.

Summary:

This book, authored by experts and published by the National Academies of Sciences, Engineering, and Medicine, examines the standards and practices for visual field perimetry devices used in disability evaluations. It provides a detailed discussion on the prevalence of visual field loss and its impact on quality of life, as well as an evaluation of the disability determination processes employed by the U.S. Social Security Administration and other federal agencies. The book includes findings and recommendations for improving the accuracy and consistency of visual field assessments in clinical and administrative settings. Intended for healthcare professionals, policymakers, and researchers, it aims to enhance understanding and inform policy decisions regarding disability evaluation standards. Generated by AI.

Contents:

Front Matter

Reviewers

Contents

Boxes, Figures, and Tables

Preface

Acronyms and Abbreviations

Summary

1 Introduction

2 How Other Selected Federal Agencies Assess Impairment Due to Visual Field Loss

3 Current and Emerging Practice in Visual Field Testing

4 Evaluating New Perimetry Techniques

5 Special Topics

Appendix A: Public Meeting Agendas

Appendix B: Glossary

Appendix C: Biographical Sketches of Committee Members Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

0-309-99253-2

OCLC:

1533913508