HOLLENBECK PALMS

Hollenbeck Palms is a skilled nursing facility located at 573 S. Boyle Ave. in Los Angeles, California (ZIP code 90033), within Los Angeles County. The facility operates under non-profit corporate ownership and is certified for both Medicare and Medicaid. It has a total of 106 certified beds and is currently active. CMS assigns Hollenbeck Palms an overall star rating of 4 out of 5, which is above the national average of 3.0 stars. This composite rating is drawn from three component ratings. The health inspection rating stands at 3 out of 5, placing it at the national average for that category. The staffing rating is 5 out of 5, the highest possible score, reflecting staffing levels and case-mix adjusted hours reported to CMS. The quality measure rating is 4 out of 5, indicating performance above the national average on clinical quality indicators tracked by the Centers for Medicare and Medicaid Services. Hollenbeck Palms accepts both Medicare and Medicaid as forms of payment, making it accessible to a broad range of residents who rely on federal and state insurance programs for long-term care coverage. Families and individuals researching this facility should contact the facility directly or consult with a benefits counselor to confirm current payment policies, availability, and any private pay options that may apply. When considered alongside national benchmarks, Hollenbeck Palms presents a mixed but generally favorable profile. Its overall 4-star rating places it above the national average of 3.0 stars. The 5-star staffing rating is particularly notable, as staffing levels are a frequently referenced indicator in assessing care capacity at skilled nursing facilities. The 4-star quality measure rating also surpasses the national average, while the 3-star health inspection rating aligns with the national midpoint. Prospective residents and their families are encouraged to review the full CMS Care Compare profile for Hollenbeck Palms to access detailed inspection reports, staffing data, and quality measure breakdowns before making care decisions.