IT’S BROKEN: HEALTH POLICY IN INDIA Jeff Hammer Princeton University and NCAER Jishnu Das World Bank and Centre for Policy Research Delhi, 8 November, 2012
Jan 07, 2016
IT’S BROKEN: HEALTH POLICY IN INDIA
Jeff Hammer
Princeton University and NCAER
Jishnu DasWorld Bank and Centre for Policy Research
Delhi, 8 November, 2012
Problem #1
Problem #2: No one raised problem #1• Bhore committee 1946: Recommended integration of curative and preventive medicine at all
levels with seamless referrals. Specific staffing per capita requirements for each level.
• Mudaliar Committee 1962: noted PHC’s weren’t working but advised spending more on them anyway
• Jungalwalla 1967: A service with a unified approach for all problems
• Singh (1973), Shrivastav (1975), Bajaj(1986), plus four other reports all the same
• Mid-term review 10th plan 2005: Sub center for every 5,000 people, PHC for every 30,000 people etc. etc., Integrated referral chain (virtually identical to Bhore on).
• NRHM mission statement 2005: not much different but does mention water and sanitation (which may not have happened but a new line of health workers did)
• Lancet (January 2011): “The time is right” for universal health care – which lead to:
• High Level Expert Group (November 2011): ”Develop a National Health Package that offers, as part of the entitlement of every citizen, essential health services at different levels of the health care delivery system.” Oh, and “Reorient health care provision to focus significantly on primary health care.” while we “Ensure equitable access to functional beds for guaranteeing secondary and tertiary care.” By “increasing HRH density to achieve WHO norms of at least 23 health workers per 10,000 population” (i.e., Bhore if Xerox machines existed in 1946)
• Einstein 1925 (possibly apocryphal, though true): “Insanity is doing the same thing over and over and expecting different results”
The Big Picture
d(health spending)
∂(Traditional (19th century) public health spending) ∂health spending
∂(primary care spending) ∂health spending
∂(Hospital spending)∂health spending
d(health status)
d(financial protection)
d(742 other things)
×
𝜕health
𝜕 public go
ods×𝜕 pub
lic goods
𝜕 spending
×
The Big Picture
d(health spending)
∂(Traditional (19th century) public health spending) ∂health spending
∂(primary care spending) ∂health spending
∂(Hospital spending)∂health spending
d(health status)
d(financial protection)
d(742 other things)
×
A very long chain
𝜕health
𝜕 public go
ods×𝜕 pub
lic goods
𝜕 spending
×
Today’s Picture
d(health spending)
∂Traditional (19th century) public health spending
∂primary care spending
d(health status)
×
𝜕health
𝜕 public go
ods
Pathway 1: Most important (very brief)
d(health spending)
∂(Traditional (19th century) public health spending)
∂(primary care spending)
d(health status)
×
Health and Sh... stuff
Garbage dumps
Open sewers
Pathway 2: Old and new research
d(health spending)
∂(Traditional (19th century) public health spending)
∂(primary care spending)
d(health status)
×
Unpacking Primary Care Chain
∂ health status𝜕Government Spending on primary care
=¿
Working backwards
Unpacking Primary Care Chain
∂ health status𝜕Government Spending on primary care
=¿ “Medicine” (even if ‘cost-effective’)
Working backwards• One, of many, proximate cause of improved health may
well be some medical intervention – mini-micro, “cost effective” components of “accurate advice”. But, as you’ll see, this pales to insignificance compared to all the other problems. So, I’m ignoring them.
Unpacking Primary Care Chain
∂ health status𝜕Government Spending on primary care
=¿ Does increasing publicly supplied care increase total supply available to people?
Working backwards• One, of many, proximate cause of improved health may well be
some medical intervention – mini-micro, “cost effective” components of “accurate advice”. But, as you’ll see, this pales to insignificance compared to all the other problems. So, I’m ignoring them.
• A “problem” repeated endlessly is that people have no “access” to medical care so there must be X public providers per Y inhabitants
• Maybe we should ask:• Does this “ratio” policy make any sense? Even theoretically?
• No. There is a very large literature on optimal number of firms in an industry. Ratios of suppliers to consumers have nothing to do with it.
• Does this preoccupation have anything to do with reality?• No. Perhaps cause for mild embarrassment: In NO country can we answer the simple
question “how many health care providers are there in an average village?”
• It turns out that all these questions matter!
Mindset of Ministry since Bhore committee (and of WHO to this day)
Health CentreEveryone
goes to the public health centre
The mindset, continued
District Hospital
CHC CHC CHC
PHC
S-C S-C S-C
PHC
S-C S-C
PHC
S-C S-C
PHC
S-C S-C S-C
District Hospital
Bigger Hospital
Even Bigger Hospital
AIIMS
With a “seamless web of referral” through primary, more primary, secondary, tertiary, teaching
But what if…
But what if…
we look at the real world and find…
• A Village looks like this (in Eastern Madhya Pradesh)• 2,315 persons in 457 households
(results from MAQARI project)
With this sort of “access” to health care providers
Public providers
Private MBBS
households
But there’s a larger village two miles away that most people go to when sick
2 miles
With roads
…and it has 1 public and 11 private “real” doctors
Public providers
Private MBBS
…plus 8 homeopaths, 15 Ayurveds, a bunch of Unani, electro-homeopaths, “integrated” medics, pharmacists
Public providers
Private MBBS
Homeopaths
Ayurvedic / Unani
…and a larger number altogether of people with no training at all
Public providers
Private MBBS
Homeopaths
Ayurvedic / Unani
No degree or qualification at all
If we do the right counts• Availability in rural India is high
• These numbers are providers within the village▫ Across the 100 villages studied in MP, 2.46 providers “in village” vs. 9.39 “in market”
0.0
10.0
20.0
30.0
40.0
50.0
60.0
34
.2
27
.4
26
.7
14
.2
10
.9
7.7
19
.43
12
79
62
08
53
1
6.7
04
45
67
94
72
65
1
10
.88
69
33
72
10
38
7
17
.37
82
81
97
64
86
52
.11
13
15
95
11
89
5
4.7
79
46
58
21
67
48
3
18
.12
93
04
59
89
78
15
.94
60
56
76
79
62
1
17
.95
58
05
84
39
85
8
6.0
23
28
95
24
46
92
2
2.3
85
81
94
79
58
07
6
18
.64
41
61
09
26
54
5
7.6
52
95
15
45
63
82
3
16
.19
34
53
94
08
28
8
18
.67
06
42
02
63
75
9
12
.73
95
63
21
49
75
5
3.1
36
77
65
26
45
56
6
16
.29
98
88
64
79
51
7
15
.25
36
07
80
98
47
3
26
.33
02
28
53
75
51
7
Number of providers per 10,000 persons
Global
India
Country/State
Nu
mb
er
or
pro
vid
ers
Source: Countries; WHO 2011; MP, India: in progress
•Two things stand outSize of marketExcess capacity
Market Size: The market is much bigger
• than the immediate village• than people trained in allopathy (even if that’s what they
all practice)• What’s relevant isn’t merely that the public sector is small, it’s
whether there is close substitution between them and their alternatives
• This is hard to find out but people switch regularly, so there is likely a lot of substitution
• And most people go to the private sector
What do market shares look like?Primary Health Care
Share of the private sector in number of visits for primary care services - rural areas
0
20
40
60
80
100
Karnataka Kerala Rajasthan WestBengal
All India
poorest
2
3
4
richest
Share of the private sector in hospital in-patient days - rural areas
010203040506070
Karnataka Kerala Rajasthan WestBengal
All India
poorest
2
3
4
richest
Hospitals
Source: Calculations based on Mahal et al (2001)
Doesn’t seem to matter how poor you are. But national average masks some interesting state variations.
Excess Capacity
Public, less busy
Public, very busy
Private, less busy
Private, very busy
8:00am 9:00am 10:00am 11:00am 12:00pm 1:00pm 2:00pm 3:00pm 4:00pm 5:00pm 6:00pm 7:00pm 8:00pm
Offi ce hours Occupied
Provider Work Load
Time
Work hours Attending to a patient
Leading to so many alternatives that public employees work 39 minutes/day – same as private providers (similar results from Tanzania, Senegal where doctor “shortage” is even more acute
We are not in this world anymore
Instead, we are here
Health Centre
Unpacking Primary Care Chain
∂ health status𝜕Government Spending on primary care
=¿
So, this term could be really small. The public sector is just swamped by the private and the two appear to be substitutes
“AHA!” YOU SAY. “BUT YOU JUST TOLD US THAT MANY OF THESE PROVIDERS ARE QUACKS”
Let’s look at the prior link
Unpacking Primary Care Chain
∂ health status𝜕Government Spending on primary care
=¿
Why don’t people go to free public clinics instead of paying for “quacks”?
• In other words: “why can’t we even give this stuff away?”• Standard response from people working in public health:
• People can’t tell good from bad• (We shall return to this later)
• Let’s ask a different question
PHC’s: What do people find when they get there?
• Vacancies
0
5
10
15
20
25
30
35
Doctors
Nurses
% of staff positions vacant
PHC’s: What do people find when they get there?
• Vacancies• Absent workers
ABSENCE RATES – DOCTORS
Reasons for absence among doctors by state
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
Bihar
Jhar
khan
d
Oris
sa
Uttran
acha
l
Uttar P
rade
sh
Assam
Rajas
than
Mad
hya P
rades
h
Chhat
tisgar
h
West
Bengal
Andhr
a Pra
desh
Karna
taka
Keral
a
Tamil N
adu
Mah
arash
tra
Guja
rat
Harya
na
Punjab
Per
cen
t
OfficialDutyLeave
ClosedFacilityNoReason
Source: Chaudhury et al (2004)
PHC’s: What do people find when they get there?
• Vacancies• Absenteeism• Low capability
Just Delhi!
The competence of providers in Delhi is very low- in public and private sectors
0.1
.2.3
.4.5
Den
sity
-2 -1 0 1 2Competence
Histogram Kernel Density
Publ ic--A l l MBBS
0.1
.2.3
.4.5
Den
sity
-2 -1 0 1 2Competence
Histogram Kernel Density
Private--M BBS
0.1
.2.3
.4.5
Den
sity
-2 -1 0 1 2Competence
Histogram Kernel Density
Private--Non-M BBS
0.1
.2.3
.4.5
Den
sity
/Per
cent
-2 -1 0 1 2Competence
Public Providers Private--MBBS
Private--Non-MBBS
Al l Providers
Distribution of Competence by Qualification
Competence in Vignettes: Rural Madhya Pradesh
MBBS providers (nearly all public sector!) are more competent than providers with other qualifications and provider with no qualifications
PHC’s: What do people find when they get there?
• Vacancies• Absenteeism• Low capability• Very little effort
-2-1
01
2S
tand
ardi
zed
Effo
rt
-2 -1 0 1 2Competence:IRT Score
Private, No MBBS Private, MBBSPublic (Non-Hosp) Public Sector (Hosp. Only)
Effort and Competence
CGHS facilities are in here
What does “very little effort” mean (in Delhi)?
0
1
2
3
4
5
6
7
time questions exams
low effortmediumhigh
Less than 2 minutes Just one question
Very little effort in MP: time spent
Public Private trained Private untrained0
1
2
3
4
5
3.1
3.9 3.9
2.6
4.13.8
Time spent by providers
Physician Observa-tions
Standardized Pa-tients
Type of provider
Tim
e sp
ent
(in
min
ute
s)
The “know – do” gap in Madhya Pradesh
Public Private trained Private untrained0%
10%
20%
30%
40%
50%
60%55.9%
45.0%
22.2%
0.0%
18.2%
3.7%
What providers know, what providers do? Madhya Pradesh
What they know
What they do
Type of providerPe
rce
nta
ge
of
ca
se
s w
he
re d
iag
no
sis
g
ive
n w
as
co
rre
ct
Know-do gap in Delhi0
.1.2
.3.4
% W
ho a
sked
the
rele
vant
que
stio
n
Private MBBS Private, No MBBS Public
...And What They DoWhat They Know
% Asked (DCO) % Asked (Vignettes)
Know-do gap
• And in Tanzania• And in Rwanda• And in Netherlands…..
• We are beginning to see a pattern
Quality: Combining Competence AND Effort with Standardized Patients• Standardized case-patient mix
• Incognito patients (SP) visit health providers
• Quality can be measured by• Process measures
• Completion of case-specific checklist items (history taking questions and examinations)
• Diagnosis & Treatment• Effort: Time Spent by Providers
• Harder to implement but provides a better overall measure of providers’ practice
Das and others, 2012.
Quality in MP
Public MBBS doctors, although most competent, they did the least and so are of the lowest quality in the entire sample.
In rural Madhya Pradesh: Unqualified practitioners do better than public PHC providers on process…
Using Standardized Simulated Patients for asthma
2.4 2.7
0.5
6.4
4.1
1.4
5.6
3.8
1.1
5.5
3.7
1.4
PublicPrivateQualifiedUnqualified
Min
ute
s, q
ue
sti
on
s, e
xa
ms
Diagnosis and treatment Asthma In Madhya Pradesh
0.13
0.20
0.01
0.07
0.320.41
0.23
0.03
0.23
0.310.31
0.25
0.040.11
0.30
0.39
0.21
0.01
0.27
0.32
PublicPrivateQualifiedUnqualified
Pe
rce
nt
of
inte
rac
tio
ns
wit
h it
em
c
om
ple
ted
Right
Wrong
Worse! Look at this for a heart attack!
Based on 327 SP visits, no diagnosis given in 178 cases
0%
10%
20%
30%
40%
0.134
0.336000000000001
0.060.074 0.087
0.208
0.101
Diagnosis for heart attack
Per
cen
tag
e o
f C
ases
Untrained providers beat the public sector in diagnosis
Public Private trained Private untrained0%
10%
20%
30%
40%
0.00%
13.79%
8.47%
Likelihood of correct diagnosis in heart attack
Type of provider
Pe
rce
nta
ge
of
ca
se
s w
he
re d
iag
no
sis
wa
s g
ive
n
Public MBBS in public Public MBBS in private Private trained Private untrained-0.50
-0.25
0.00
0.25
0.50
-0.325770000000001
-0.0458971
0.43
0.32
Effort Index by provider type
Type of provider
Sta
nd
ard
ized
eff
ort
sco
re
Mean
Incentives must be at work somehow:
Public sector doctors do much better in their private clinics
38%
62%
Likelihood of correct treatment for a heart at-tack: Public MBBS in public clinics
Correct
Incorrect
60%
40%
Likelihood of correct treatment for a heart at-tack: Public MBBS in private clinics
Correct
Incorrect
People have always known this:“I know Mr. Reddy. He is a government doctor but I go to him in the evening.” (Probe Qualitative Research Team, 2002)
0%
10%
20%
30%
40%
30.9%
17.5%
14.0%17.1%
Likelihood of prescribing antibiotic(s) for heart at-tack
Per
cen
tag
e o
f ca
ses
And it’s the private sector overprescribing drugs?
PHC’s: What do people find when they get there?
• Vacancies• Absenteeism• Low ability• Low effort• “Donation” requests
Health 27%
Police & Judiciary 15%
Power 20%
Telecom & Rail 5%
Taxation& Land Admn. 17%
Education 12%
Ration Shops 4%
Money value of “donation” payments
Source: Transparency International
Incentive problems
• You are paid by salary
• You are not monitored by supervisors
• You will not be fired or have pay reduced under virtually any circumstances
• You are of much higher social status and have much greater political power than your clients – complaints don’t touch you
• You have lucrative alternative work in the private sector
What would you do?
Unpacking Primary Care Chain
∂ health status𝜕Government Spending on primary care
=¿
Because of the long chain of things that can screw up – this can be a very small number
So why don’t people go to (free) real doctors instead of quacks?
• You haven’t been paying attention?• Ministry (and international organization) answers: People
don’t know any better• Really?
Prices: willingness to pay for quality• In fact, prices are significantly correlated with quality
Higher quality providers charge higher prices – this can’t happen without a demand response
This price-quality relationship is purged of case and patient selection problems
Prices and Quality (effort) 0
50
100
150
Pri
ce in
Rs.
-2 0 2 4Effort
No Qualification Some QualificationMBBS
Prices and Effort in Provider-Patient Interactions
Average Fees for MBBS
Average Fees for others
Why the divide?: accountability • Private sector whether trained or not: to the patient
(possibly “too much”)• Public sector hospital physicians (who do pretty well, all
things considered, in Delhi)• To Supervisors in the same building (career track)• To Colleagues?
• Public sector primary health care center doctors: ???
Summary: Public provision of Primary Health Care • It was never clear what “efficiency” gains, what “market
failure”, this was supposed to fix• It is not obvious that poor people gain from such public
provision of private goods (so what “equity” gains?)• It is very clear that this is a devilishly difficult program to
implement – a fact that has been known for years decades
• Why is this still such a high priority?• Why doesn’t the government make sure PUBLIC goods
(that can’t even exist without government) before it spends a paisa on private goods?
• Why are we still talking about this?