Breast Cancer Clinical Trial
Official title:
Evaluation of Novartis Access; a Non-communicable Disease (NCD) Access Initiative
Countries throughout the world are facing a growing non-communicable disease (NCD) burden. In developing countries, medicines to treat NCDs are often difficult to access or too expensive for many households. Novartis/Sandoz has recently launched Novartis Access, an initiative to subsidize a basket of NCD medicines sold to purchasers in program countries and delivered through the public and non-profit health sectors. This study will evaluate the impact of Novartis Access on the availability and price of NCD medicines at health facilities and households in Kenya, the first country to receive the program.
Participants, interventions, and outcomes: Eight counties have been non-randomly selected for
inclusion in the study. Initially, Novartis Access medicines will be sold solely to the
Mission for Essential Drugs and Supplies (MEDS), the main supplier for the large network of
private (often faith-based) non-profit health facilities in the country, and also a key
supplier for public facilities in several counties. Of the 47 total counties in Kenya, 17
counties were excluded because they do not purchase medicines from MEDS, and an additional 15
counties were excluded that had not purchased at least 10 million KES worth of medicines
through MEDS in the previous year. Three counties were excluded due to security concerns, and
four additional counties were excluded to eliminate shared borders in the final sample, to
minimize the risk of contamination between intervention and control counties. When
considering counties with shared borders, those with the lower volume of MEDS purchases in
the previous year were excluded.
In Kenya, NCD services are provided in the public and private non-profit sectors at level 2
dispensaries up through level 6 hospitals. Not all counties have a level 6 hospital, and for
this reason they are excluded from the study. Counties have on average: five public and
private non-profit level 5 county referral hospitals; three public level 4 sub-county
hospitals; 15 public and private non-profit level 3 health centers; and 85 public and private
non-profit level 2 dispensaries. All 184 eligible level 3-5 facilities will be included in
the study, and 200 level 2 dispensaries will be randomly selected for inclusion. For each
facility included in the study, one private drug seller identified as the main alternative
for that facility will be identified and included. Private drug sellers include pharmacies,
drug stores, and dispensing doctors.
A total sample of 800 households will be randomly selected from the eight study counties (400
from Novartis Access counties; 400 from control counties) using a two-stage sampling
procedure. In the first stage, 10 enumeration areas (EAs) will be selected in each county
with probability proportional to size based on data from the most recent census. Then, in the
second stage, 10 eligible households will be randomly selected in each EA and recruited into
the study. All households in the EA will be listed in a random order, and enumerators will
proceed down the list until 10 eligible households are identified. Households will be
eligible if at least one member at least 18 years old has been previously diagnosed and
prescribed medicine for NCDs addressed by Novartis Access, including diabetes, hypertension,
breast cancer, and asthma. All members of the household who fit that criterion will be
recruited for the study. Based on the prevalence of the relevant NCD conditions in Kenya, 20%
of all households will meet the inclusion criterion.
In intervention counties, public and private non-profit health facilities will be allowed to
purchase subsidized Novartis Access NCD medicines through MEDS. The Novartis Access portfolio
includes 15 medicines to treat diabetes, hypertension, breast cancer, and asthma. While the
portfolio includes patented medicines usually marketed and sold under the Novartis brand and
generics under the Sandoz brand, all medicines sold through the initiative will be packaged
with the new Novartis Access brand. The medicines will be sold directly to MEDS at an average
cost of 150 Kenyan Shillings (KES), around US$1.50, per monthly dose. Facility-level
administrative data on NCD medicine purchases obtained from MEDS will be used to monitor the
implementation of the intervention.
The primary outcomes of interest are medicine availability and price at health facilities,
and medicine availability, price, and expenditures at patients' households. Availability at
facilities is defined as the proportion of Novartis Access medicines and equivalents in stock
on the day of data collection. Availability at households is defined as the proportion of
prescribed Novartis Access medicines and equivalents in the home on the day of data
collection. The price of NCD medicines sold by private for-profit drug sellers is an
important secondary outcome. Patient perceptions of NCD medicine access will also be
explored. Data will be collected at facilities and households using a structured
questionnaire at baseline prior to the implementation of Novartis Access, at midline after
one year, and at end line after two years. At each of these interviews, a subsample of
facilities and households will also be administered a qualitative interview. Additional data
will be collected quarterly from facilities and a randomly selected subsample of households
using a structured questionnaire administered over the phone.
The study is powered to detect a 10 percentage point increase in household availability of
medicines due to Novartis Access at α = 0.05, assuming an intracluster correlation
coefficient of 0.05, 10% loss to follow-up, and a proportion available in the control group
of 33%.
Assignment of the intervention: In Kenya, county health offices are responsible for bulk
purchasing of medicines for their health facilities, allowing for random allocation of
Novartis Access at the county-level. The eight counties selected for inclusion in the trial
will be randomized to the intervention or control group using a covariate constrained
randomization method to maximize balance on nine demographic and health variables: total
population; population density; proportion of the population in urban areas; poverty rate;
number of health facilities; physicians per capita; health spending per capita; overall value
ordered through MEDS in previous year; and proportion of value ordered through MEDS in
previous year by private non-profit versus public health facilities. Allocation will be
masked from data collectors. However, it will not be possible to mask the intervention from
participants.
Data collection, management, and analysis: Data will be collected from health facilities and
households at baseline, midline, and end line using a structured questionnaire. The health
facility questionnaire has been adapted from an instrument developed by the World Health
Organization and Health Action International and previously used in Kenya, and captures
information on medicine availability and medicine price. The household questionnaire includes
information on demographics, household assets, and key information on medicines, including
whether prescribed NCD medicines are currently at the home, locations where medicines are
most often purchased, prices paid, and overall household expenditures on medicines (and on
other goods).
A subsample of health facilities and subsample of households will also be administered a
qualitative interview during baseline, midline, and end line visits. A purposeful subsample
of five level 2 dispensaries and five level 3-5 facilities will be selected in each county
(80 facilities in total), and one staff member will be randomly selected for the interview. A
purposeful subsample of 10 households in each county (80 households in total) will be
selected for qualitative interviews, which will be administered to one individual in the
household who also completes the general household survey. Facilities and households will be
selected for qualitative interviews to maximize variation in the viewpoints represented. The
qualitative instrument has been designed to explore in depth key issues related to medicine
access.
Surveillance data will be collected quarterly from all health facilities and a subsample of
households. For health facility surveillance, a shortened version of the structured
questionnaire with basic information on medicine availability and price will be administered
over the phone each month to a rotating one-third sample of health facilities, such that all
facilities are surveilled once per quarter. For household surveillance, a random sample of
half of all study households will be selected; half of study households will not be
surveilled at all, to allow for an analysis of the potential effect of surveillance on
household behavior. Those households selected for surveillance will be administered a
shortened version of the structured questionnaire with basic information on medicine
availability and price over the phone. As with health facilities, a rotating one-third sample
of households selected for surveillance will be surveyed by phone each month, such that all
surveilled households are surveyed once per quarter. A 5% subsample of surveilled health
facilities and households will be visited in person to audit phone responses.
Innovations for Poverty Action (IPA) will be a partner on the study and will manage research
fieldwork. IPA specializes in the design and implementation of randomized controlled trials
to test policy interventions in developing country settings, and has partnered on several
rigorous evaluations in Kenya in recent years. Data will be collected electronically using
SurveyCTO software on tablets and managed using Microsoft Access software.
Data on baseline characteristics of health facilities and households will be compared across
groups to assess balance. Impacts of Novartis Access will be estimated using intention to
treat analysis. Analysis of covariance (ANCOVA) methods will be used to control for potential
baseline differences between groups. All analyses will be conducted using Stata statistical
software.
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