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1.
N Z Med J ; 137(1595): 39-47, 2024 May 17.
Article in English | MEDLINE | ID: mdl-38754112

ABSTRACT

AIM: To streamline the cataract surgery pathway to improve the time from first specialist assessment (FSA) to surgery, while reducing the clinical priority assessment criteria (CPAC) score from 55 to 50. METHOD: A quality improvement project using Lean Six Sigma tools and the Model for Improvement. Most data were collected from the i.Patient Manager (iPM) system and analysed using statistical process control charts. Change interventions included combining FSA and pre-admission clinics (PAC); post-operative telephone review by non senior medical officers (SMO); and using our own surgeons in private theatres. RESULTS: The standard cataract pathway was reduced from 5 to 3 appointments. This removed 1,514 hours of appointments, released 113 SMO hours and saved patients NZ$156,000 in indirect costs over a year. The average waiting time from FSA to surgery decreased from 90 to 77 days (-13.5%). The number of overdue patients reduced from 127 to 44 (-35%). The average number of patients on the FSA waiting list dropped from 322 to 205 (-40%). There was no change to the proportions of surgeries or appointment attendance rates by ethnicity. Average monthly cataract surgeries increased from 192 to 215 (+12%), and the CPAC score threshold was decreased to 50 in February 2021. CONCLUSION: Despite significant demand pressures, and the disruptions of COVID-19, we were able to reduce the CPAC score for accessing cataract surgery by optimising the clinical pathway to better utilise staff capacity and maximise value for patients.


Subject(s)
COVID-19 , Cataract Extraction , Critical Pathways , Health Services Accessibility , Quality Improvement , Waiting Lists , Humans , Cataract Extraction/statistics & numerical data , Health Services Accessibility/statistics & numerical data , New Zealand , COVID-19/epidemiology , Pandemics , SARS-CoV-2 , Appointments and Schedules , Male , Time-to-Treatment/statistics & numerical data , Female
2.
N Z Med J ; 134(1538): 77-88, 2021 07 09.
Article in English | MEDLINE | ID: mdl-34239147

ABSTRACT

AIMS: Heart failure with reduced ejection fraction (HFrEF) is associated with poor outcomes. While several medications are beneficial, achieving optimal guideline-directed medical therapy (GDMT) is challenging. COVID-19 created a need to explore new ways to deliver care. METHODS: Fifty consecutive patients were taught to identify fluid congestion and monitor their vital signs using BP monitors and electronic scales with NP-led telephone support. Quantitative data were collected and a patient experience interview was performed. RESULTS: The majority (76%) of the cohort (male, 76%; Maori/Pacific, 58%) had a new diagnosis of HFrEF, with 90% having severe left ventricular (LV) dysfunction. There were 216 contacts (129 (60%) by telephone), which eliminated travelling, (time saved, 2.12 hours per patient), petrol costs ($58.17 per patient), traffic pollution (607 Kg of CO2) and time off work. Most (75%) received contact within two weeks and 75% were optimally titrated within two months. Improvements in systolic BP (SBP) (124mmHg to 116mmHg), pulse (78 bpm to 70 bpm) and N-terminal pro-brain natriuretic peptide (NT-proBNP) (292 to 65) were identified. Of the 43 patients who had a follow-up transthoracic echocardiogram (TTE), 33 (77%) showed important improvement in left ventricular ejection fraction (LVEF). CONCLUSIONS: Patients found the process acceptable and experienced rapid titration with less need for clinic review with titration rates comparable with most real-world reports.


Subject(s)
COVID-19/prevention & control , Heart Failure/drug therapy , Heart Failure/physiopathology , Nurse Practitioners , Practice Patterns, Nurses' , Telemedicine , Aged , Atrial Natriuretic Factor/blood , Blood Pressure , Feasibility Studies , Female , Heart Rate , Humans , Male , Middle Aged , Patient Education as Topic , Patient Satisfaction , Pilot Projects , Practice Guidelines as Topic , Protein Precursors/blood , SARS-CoV-2 , Stroke Volume , Telemedicine/economics , Telemedicine/organization & administration , Telephone , Travel/economics
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